NSF Grants

Organizations -- private and public, established and entrepreneurial, designed and emergent, formal and informal, profit and nonprofit -- are critical to the well-being of nations and their citizens. They are of crucial importance for producing goods and services, creating value, providing jobs, and achieving social goals. The Science of Organizations (SoO) program funds basic research that yields a scientific evidence base for improving the design and emergence, development and deployment, and management and ultimate effectiveness of organizations of all kinds. SoO funds research that advances our fundamental understanding of how organizations develop, form and operate. Successful SoO research proposals use scientific methods to develop and refine theories, to empirically test theories and frameworks, and to develop new measures and methods. Funded research is aimed at yielding generalizable insights that are of value to the business practitioner, policy-maker and research communities. SoO welcomes any and all rigorous, scientific approaches that illuminate aspects of organizations as systems of coordination, management and governance. In considering whether a particular project might be a candidate for consideration by SoO, please note: Intellectual perspectives may involve (but are not limited to) organizational theory, behavior, sociology or economics, business policy and strategy, communication sciences, entrepreneurship, human resource management, information sciences, managerial and organizational cognition, operations management, public administration, social or industrial psychology, and technology and innovation management. Phenomena studied may include (but are not limited to) structures, routines, effectiveness, competitiveness, innovation, dynamics, change and evolution. Levels of analysis may include (but are not limited to) organizational, cross-organizational collaborations or relationships, and institutional and can address individuals, groups or teams. Research methods may be qualitative and quantitative and may include (but are not limited to) archival analyses, surveys, simulation studies, experiments, comparative case studies, and network analyses. Consistent with NSF merit review criteria, each SoO proposal should discuss both the intellectual merit and the potential broader impacts of the proposed research. SoO values basic research that has the potential to provide broader societal benefits. However, the majority of space in any proposal will need to be dedicated to the explication of theory, methods, and specific contribution to the evidence base about organizational effectiveness. Projects that aim to implement and subsequently evaluate particular organizational training, effectiveness or change programs, rather than to advance fundamental, generalizable knowledge, are not appropriate for SoO. Researchers who seek to conduct SoO-appropriate research in an industrial site and/or via an industry-university collaboration are invited to also look at the Grant Opportunities for Academic Liaisons with Industry (GOALI) program web site .

Supports mathematical research in areas where computation plays a central and essential role, emphasizing analysis, development, and implementation of theoretically justified and efficient algorithms. The combination of these elements resulting in innovative computational methods is a hallmark of the program. Proposals ranging from single investigator to interdisciplinary team projects that not only create and analyze new computational mathematics techniques but also implement them to model, study, and solve important application problems are strongly encouraged, as is providing opportunities for rigorous mathematical training of junior computational mathematicians through research involvement. Conferences Proposals to the Computational Mathematics Program for conferences or workshops must be submitted through the program solicitation "Conferences and Workshops in the Mathematical Sciences" (link below). Principal Investigators should carefully read the solicitation to obtain important information regarding the substance of proposals for conferences, workshops, and similar activities. Unless an exception from the program is granted, to facilitate timely notification of the availability of support, the following requirements are in effect: Proposals for conferences, workshops, etc., to be held in the US must be submitted at least 6 months in advance of the conference start date; Proposals to support group travel to meetings outside the US must be submitted at least 8 months in advance of the meeting start date; Proposals for conferences, workshops, etc., whose budget request exceeds $50,000 must be submitted during the annual Computational Mathematics Program submission window. Conference proposals to the Computational Mathematics Program whose submission dates do not conform with the requirements described above will be returned without review.

The Statistics Program supports research in statistical theory and methods, including research in statistical methods for applications to any domain of science and engineering. The theory forms the base for statistical science. The methods are used for stochastic modeling, and the collection, analysis and interpretation of data. The methods characterize uncertainty in the data and facilitate advancement in science and engineering. The Program encourages proposals ranging from single-investigator projects to interdisciplinary team projects.

Anthropological research may be conducted under unusual circumstances, often in distant locations. As a result the ability to conduct potentially important research may hinge on factors that are impossible to assess from a distance and some projects with potentially great payoffs may face difficulties in securing funding. This program gives small awards that provide investigators with the opportunity to assess the feasibility of an anthropological research project. It is required that the proposed activity be clearly high risk in nature. The information gathered may then be used as the basis for preparing a more fully developed research program. Investigators must contact the cognizant NSF Program Director before submitting an HRRBAA proposal. This will facilitate determining whether the proposed work is appropriate for HRRBAA support.

The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economicsciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics. The MMS Program provides support through a number of different funding mechanisms. The following mechanisms are addressed in this solicitation: Regular Research Awards Awards for conferences and community-development activities Doctoral Dissertation Research Improvement (DDRI) Grants Research Experience for Undergraduates (REU) Supplements MMS also supports Faculty Early Career Development (CAREER) awards. Please see the CAREER Program Web Site for more informationabout this activity.

The Security and Preparedness (SAP) Programsupports basic scientific research that advances knowledge and understanding of issues broadly related to global and national security. Research proposals are evaluated on the criteria of intellectual merit and broader impacts; the proposed projects are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented. Moreover, the Program supports research experiences for undergraduate students and infrastructural activities, including methodological innovations. The Program does not fund applied research. In addition, we encourage you to examine the websites for the National Science Foundation'sAccountable Institutions and Behavior(AIB), Law and Science (LS) programs, and Research Infrastructure in the Social and Behavioral Sciences (RISBS) programs.

The Accountable Institutions and Behavior (AIB) Program supports basicscientific research that advances knowledge and understanding of issues broadly related to attitudes, behavior, and institutions connected to public policy and the provision of public services.Research proposals are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented. Substantive areas include (but are not limited to) the study of individual and group decision-making, political institutions (appointed or elected), attitude and preference formation and expression, electoral processes and voting, public administration, and public policy. This work can focus on a single case or can be done in a comparative context, either over time or cross-sectionally.The Program does not fund applied research.The Program also supports research experiences for undergraduate students and infrastructural activities, including methodological innovations. In addition, we encourage you to examine the websites for the National Science Foundation’s Law and Science(LS), Security and Preparedness (SAP) and Research Infrastructure in the Social and Behavioral Sciences (RISBS) programs.

Science of Learning and Augmented Intelligence (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence — how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective and behavioral processes; and social and cultural influences. The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge about human functioning to improve the design of collaborative technologies that have the capacity to learn to adapt to humans. For both aspects of the program, there is special interest in collaborative and collective models of learning and intelligence that are supported by the unprecedented speed and scale of technological connectivity. This includes emphasis on how people and technology working together in new ways and at scale can achieve more than either can attain alone. The program also seeks explanations for how the emergent intelligence of groups, organizations and networks intersects with processes of learning, behavior and cognition in individuals. Projects that are convergent or interdisciplinary may be especially valuable in advancing basic understanding of these areas, but research within a single discipline or methodology is also appropriate. Connections between proposed research and specific technological, educational and workforce applications will be considered as valuable broader impacts but are not necessarily central to the intellectual merit of proposed research. The program supports a variety of approaches, including experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methods. Examples of general research questions within scope of Science of Learning and Augmented Intelligence (SL) include: What are the underlying mechanisms that support transfer of learning from one context to another or from one domain to another? How is learning generalized from a small set of specific experiences? What is the basis for robust learning that is resilient against potential interference from new experiences? How is learning consolidated and reconsolidated from transient experience to stable memory? How do human interactions with technologies, imbued with artificial intelligence, provide improved human task performance? What models best describe the interplay of the individual and collaborative processes that lead to co-creation of knowledge and collective intelligence? In what ways do the capacities and constraints of human cognition inform improved methods of human-artificial intelligence collaboration? How can we integrate research findings and insights across levels of analysis, relating understanding of cellular and molecular mechanisms of learning in the neurons, to circuit and systems-level computations of learning in the brain, to cognitive, affective, social and behavioral processes of learning? What is the relationship between assembly of new networks (development) and learning new knowledge in a maturing or mature brain? What concepts, tools (including Big Data, machine learning, and other computational models) or questions will provide the most productive linkages across levels of analysis? How can insights from biological learners contribute and derive new theoretical perspectives to artificial intelligence, neuromorphic engineering, materials science and nanotechnology? How can the ability of biological systems to learn from relatively few examples improve efficiency of artificial systems? How do learning systems (biological and artificial) address complex issues of causal reasoning? How can knowledge about the ways in which humans learn help in the design of human-machine interfaces?

The far-reaching impact and rate of innovation in the computer and information science and engineering fields has been remarkable, generating economic prosperity and enhancing the quality of life for people throughout the world. More than a decade ago, the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) established the Expeditions in Computing (Expeditions) program to build on past successes and provide the CISE research and education community with the opportunity to pursue ambitious, fundamental research agendas that promise to define the future of computing and information. In planning Expeditions projects, investigators are strongly encouraged to come together within or across departments or institutions to combine their creative talents in the identification of compelling, transformative research agendas that look ahead by at least a decade and promise disruptive innovations in computer and information science and engineering for many years to come. Now funded at levels up to $15,000,000 for seven years, Expeditions projects represent some of the largest single investments currently made by the CISE directorate. Together with the Science and Technology Centers and the National Artificial Intelligence Research Institutes that CISE supports, Expeditions projects form the centerpiece of the directorate's center-scale award portfolio. With awards funded at levels that promote the formation of large research teams, CISE recognizes that concurrent research advances in multiple fields or sub-fields are often necessary to stimulate deep and enduring outcomes. The awards made in this program will complement research areas supported by other CISE programs, which target particular computer and information science and engineering fields. Additionally, CISE offers Innovation Transition (InTrans) awards for teams nearing the end of their Expeditions as well as Secure and Trustworthy Cyberspace (SaTC) and Cyber-Physical Systems (CPS) Frontier projects. The goal of InTransis to continue the long-term vision and objectives of CISE’s center-scale projects. Through InTrans awards, CISE will provide limited funds to match industry support.

The Plant Biotic Interactions (PBI) program supports research on the processes that mediate beneficial and antagonistic interactions between plants and their viral, bacterial, oomycete, fungal, plant, and invertebrate symbionts, pathogens and pests. This joint NSF/NIFA program supports projects focused on current and emerging model and non-model systems, and agriculturally relevant plants. The program’s scope extends from fundamental mechanisms to translational efforts, with the latter seeking to put into agricultural practice insights gained from basic research on the mechanisms that govern plant biotic interactions. Projects must be strongly justified in terms of fundamental biological processes and/or relevance to agriculture and may be purely fundamental or applied or include aspects of both perspectives. All types of symbiosis are appropriate, including commensalism, mutualism, parasitism, and host-pathogen interactions. Research may focus on the biology of the plant host, its pathogens, pests or symbionts, interactions among these, or on the function of plant-associated microbiomes. The program welcomes proposals on the dynamics of initiation, transmission, maintenance and outcome of these complex associations, includingstudies of metabolic interactions, immune recognition and signaling, host-symbiont regulation, reciprocal responses among interacting species and mechanisms associated with self/non-self recognition such as those in pollen-pistil interactions. Explanatory frameworks shouldinclude molecular, genomic, metabolic, cellular, network and organismal processes, with projects guided by hypothesis and/or discovery driven experimental approaches. Strictly ecological projects that do not address underlying mechanisms are not appropriate for this program. Quantitative modeling in concert with experimental work is encouraged. Overall, the program seeks to support research that will deepen our understanding of the fundamental processes that mediate interactions between plants and the organisms with which they intimately associate and advance the application of that knowledge to benefit agriculture.

The primary aim of the Mathematical Sciences Infrastructure Program is to foster the continuing health of the mathematical sciences research community as a whole. In addition, the program complements the Workforce Program in the Mathematical Sciences in its goal to increase the number of well-prepared U.S. based individuals who successfully pursue careers in the mathematical sciences and in other professions in which expertise in the mathematical sciences plays an increasingly important role. The DMS Infrastructure program invites projects that support core research in the mathematical sciences, including: 1) novel projects supporting research infrastructure across the mathematical sciences community; 2) training projects complementing the Workforce Program, and 3) conference, workshop, and travel support requests that include cross-disciplinary activities or have an impact at the national scale. Proposals under this solicitation submitted to DMS Infrastructure must show engagement in developing or enhancing the mathematical sciences research infrastructure in the U.S., including, but not limited to, broadening participation activities; professional development training; or involvement of students and early career researchers. Proposals must explain the regional or national scale impact of the activity that goes substantially beyond the submitting institution or the location of the event. Full proposals (with exception of conference proposals, which are subject to lead-time requirements) must be submitted close to one of the Full Proposal Target Dates. See below for more information about each category of Infrastructure projects. (1) Novel projects that serve to strengthen the research infrastructure: The DMS Infrastructure Program will consider novel projects that support and strengthen the research infrastructure across the mathematical sciences community. These projects most often cut across multiple sub-disciplines supported by DMS or involve interdisciplinary collaborations. The main goal of these projects should be to create a new research infrastructure or substantially enhance or transform an existing infrastructure with regional or national impact that goes substantially beyond the submitting institution or the location of the project. Full proposals must be submitted by the Full Proposal Target Date. (2) Training projects: Training proposals submitted to DMS Infrastructure must not fit into one of the areas covered by solicitations in the Workforce Program in the Mathematical Sciences ; they must be submitted by the Full Proposal Target Date; and they must: A. Include a core research component for trainees in mathematical sciences; B. Demonstrate promise for an impact at the regional or national scale that goes substantially beyond the submitting institution or the location of the project; C. Satisfy at least one of the following criteria: i. Serve as models to be replicated, ii. Promote partnerships with non-academic entities, minority-serving institutions, or community colleges, or iii. Include a substantial broadening participation initiative. In addition, all proposals of this type must clearly identify: Goals to be achieved; Specific new activities to be conducted, the way in which these address the goals, and the way in which the activities significantly differ from or enhance common practice; Measurable outcomes for the project; Plans and methods for assessment of progress toward the goals to be achieved, and for evaluation of the success of the activity; Recruitment, selection, and retention plans for participants, including members of underrepresented groups; Sustainability plans to continue the pursuit of the project's goals when funding terminates; and A budget commensurate with the proposed activity. 3) Conferences, Symposia, Working Research Sessions, Travel Support Requests : Principal Investigators should carefully read the program solicitation Conferences and Workshops in the Mathematical Sciences to obtain important information regarding the substance of proposals for conferences, workshops, summer/winter schools, international travel support, and similar activities. Conference/workshop proposals that concern topics within a particular subdiscipline of mathematics or statistics should be submitted to the appropriate DMS disciplinary program(s). These submissions are subject to the lead-time requirements specified by the disciplinary program(s); see the program web pages listed on the DMS home page . Conference/workshop proposals may be submitted to the DMS Infrastructure program only if the intended topical areas span a wide range of the mathematical sciences and are consequently not within the scope of DMS disciplinary programs. The required lead time for submission of such proposals is: 6 months in advance of the meeting date for proposals requesting no more than $50,000 to support a domestic meeting; 9 months in advance of the meeting date for proposals requesting more than $50,000 to support a domestic meeting; 12 months in advance of the meeting date for proposals requesting support for participation in a meeting taking place outside the United States.

The Law & Science Program considers proposals that address social scientific studies of law and law-like systems of rules, as wellas studies of how science and technology are applied in legal contexts.The Program is inherently interdisciplinary and multi-methodological.Successful proposals describe research that advances scientific theory and understanding of the connections between human behavior and law, legal institutions, or legal processes; or the interactions of law and basic sciences, including biology, computer and information sciences, STEM education, engineering, geosciences, and math and physical sciences.Scientific studies of law often approach law as dynamic, interacting with multiple arenas, and with the participation of multiple actors.Fields of study include many disciplines, and often address problems including, though not limited, to: Crime, Violence, and Policing Cyberspace Economic Issues Environmental Science Evidentiary Issues Forensic Science Governance and Courts Human Rights and Comparative Law Information Technology Legal and Ethical Issues related to Science Legal Decision Making Legal Mobilization and Conceptions of Justice Litigation and the Legal Profession Punishment and Corrections Regulation and Facilitation of Biotechnology (e.g., Gene Editing, Gene Testing, Synthetic Biology) and Other Emerging Sciences and Technologies Use of Science in the Legal Processes LS supports the following types of proposals: Standard Research Grants and Grants for Collaborative Research Conference Awards LS also participates in a number of specialized funding opportunities through NSF’s cross-cutting and cross-directorate activities, including, for example: Faculty Early Career Development (CAREER) Program Research Experiences for Undergraduates (REU) Research at Undergraduate Institutions (RUI) Grants for Rapid Response Research (RAPID) Early-concept Grants for Exploratory Research (EAGER) For information about these and other programs, please visit the Cross-cutting and NSF-wide Active Funding Opportunities homepage.

The Tribal Colleges and Universities Program (TCUP) provides awards to federally recognized 1 Tribal Colleges and Universities, Alaska Native-serving institutions, and Native Hawaiian-serving institutions to promote high quality science (including sociology, psychology, anthropology, linguistics, economics and bioeconomics, statistics, and other social and behavioral sciences; natural sciences; computer science, including, but not limited to, artificial intelligence, quantum information science, and cybersecurity), technology, engineering and mathematics (STEM), STEM education, research, and outreach. Support is available to TCUP-eligible institutions (see the Additional Eligibility subsection of Section IV of this solicitation) for transformative capacity-building or community engagement projects through Instructional Capacity Excellence in TCUP Institutions (ICE-TI), Targeted STEM Infusion Projects (TSIP),TCUP for Secondary and Elementary Teachers in STEM (TSETS), TCU Enterprise Advancement Centers (TEA Centers), Cyberinfrastructure Health, Assistance, and Improvements (CHAI), and Preparing for TCUP Implementation (Pre-TI). Collaborations led by TCUP institutions that involve non-TCUP institutions of higher education are supported through TCUP Partnerships, with the participation of other NSF programs to support the work of non-TCUP institutions. Finally, research studies that further the scholarly activity of individual faculty members are supported through Small Grants for Research (SGR). Through the opportunities highlighted above, as well as collaborations with other National Science Foundation (NSF) divisions and directorates, and other organizations,TCUPaims toincrease Native individuals' participation in STEM careers, improve the quality of STEM programs atTCUP-eligible institutions, and facilitate the development of a strong STEM enterprise in TCUP institutions' service areas. TCUP supports transformative capacity-building, community engagement, or research projects at TCUP-eligible institutions through the following funding tracks: Instructional Capacity Excellence in TCUP Institutions (ICE-TI) projects provide support to design, implement, and assess comprehensive institutional improvements in STEM education and research capacity at TCUP-eligible institutions of higher education. By strengthening STEM education and STEM education research, successful projects will increase the number of STEM students and improve the quality of their preparation. ICE-TI projects create and/or adapt and assess innovative models and materials for teaching and learning in STEM, embody knowledge about how students learn most effectively in STEM teaching and learning activities, and bring STEM disciplinary advances into the undergraduate or graduate experience. The objective of this strand is to expand STEM degrees offered by TCUP-eligible institutions or significantly enhance instructional approaches. Targeted STEM Infusion Projects (TSIP) support the attainment of a short-term, well-defined goal to improve the quality of STEM education at an eligible institution. Targeted STEM Infusion Projects could, for example, enhance academic infrastructure by systematically adding traditional knowledge to the scope or content of a STEM course, updating curricula, modernizing laboratory research equipment, developing and delivering professional development for K-12 STEM educators, or improving the computational infrastructure.The objective of this strand is to expand STEM degrees or significantly enhance instructional approaches. TCUP for Secondary & Elementary Teachers in STEM (TSETS) supports in-service professional development in STEM disciplinary or STEM education content and/or research for K-12 STEM teachers in the relevant service area. Examples of project activities include, but are not limited to, professional development involving seminar series and engagement in STEM instruction and content during the academic year, structured series of summer intensive workshops and trainings, and summer research opportunities. The objective of this strand is to broaden the instructional capacity for STEM in the K-12 workforce and thereby to the entire community, and to build the capacity for STEM disciplinary or education research among participating educational professionals. TCU Enterprise Advancement Centers (TEA Centers) coalesce the STEM and/or STEM education expertise into a team, designed to support and promote the STEM goals, needs, aspirations, or interests of the chartering reservation or tribe(s). TEA Centers may address a critical tribal or community need or focus on a realm of research or design that is beyond the scope of individual research grants or that is of interest to multiple tribes. The objective of this strand is to build on the capacity developed through prior TCUP support and apply expertise to collaborations with communities in the institution’s service area, or nationally. The Cyberinfrastructure Health, Assistance, and Improvements (CHAI) strand supports projects at TCUP-eligible institutions of higher education to upgrade the cyberinfrastructure necessary to conduct, expand, manage and administer STEM programs of study, including research. The objective of this strand is to equip TCUP institutions to meet the demands of virtual instruction, advanced computing, and data science opportunities. Preparing for TCUP Implementation (Pre-TI) provides support for activities that prepare an institution for Implementation-level projects.Consequently, they are available only to TCUP-eligible institutions of higher education that have never received TCUP support, have not received TCUP support within the previous five years, or are embarking on a significantly novel STEM strategic plan. Examples of supported activities include completing an institutional assessment of its current STEM instructional capacity, or engaging in conversations necessary to formulate a shared vision of what that capacity should be and how to achieve it. Pre-TI awards can support staff and faculty release time, travel, stakeholder gatherings, and associated administrative costs.The objective of this strand is to conduct self-studies and formulate strategic plans for the development of STEM instructional programs of study. The TCUP Partnerships strand provides support for collaborations that will improve TCUP institutions' instructional and research capacity in STEM fields supported by NSF; attract, retain, and support TCUP students in internships and research endeavors deemed to be necessary for a complete curriculum offering; and engage partner universities to provide an academic grounding and a successful transition for students who wish to study or attain degrees in STEM fields supported by NSF. TCUP Partnerships broaden the number of scientific disciplines available to students at TCUP institution through collaborations with non-TCUP institutions. Active Pre-Engineering Education Collaboratives or Partnerships in Geoscience Education awards are not affected by this revision. The objective of this strand is the development, through instructional and research capacity-building, of academic and career pathways for TCUP students through supporting collaborative projects between and among TCUP and non-TCUP institutions. Interested teams of collaborators for which a TCUP institution serves as lead should contact the TCUP program directors. Support for non-TCUP partners must be obtained from other NSF programs, which follows the procedures of the prior Partnership strands. Small Grants for Research (SGR) strand support STEM or STEM Education faculty members at TCUP-eligible institutions to initiate or pursue research projects or programs that may include undergraduate or graduate student engagement. Awards are intended to help further the faculty member's research capability and effectiveness; improve research and teaching at his or her home institution and create and study new models and innovations in STEM teaching and learning. International research or collaborations are strongly encouraged. TCUP students may seek support for international research opportunities under the guidance of a TCUP STEM or STEM education faculty member and an international research collaborator. These awards are particularly appropriate as a means of recruiting and retaining highly qualified scientists, engineers, and educators at TCUP-eligible institutions. The objective of this strand is to support faculty research and professional development that build research capacity at TCUP institutions. [1] Executive Order 13021 defines Tribal Colleges and Universities ("tribal colleges") as those institutions cited in section 532 of the Equity in Educational Land-Grant Status Act of 1994 (7 U.S.C. 301 note), and other institutions that qualify for funding under the Tribally Controlled Community College Assistance Act of 1978, (25 U.S.C. 1801 et seq.), as well as Navajo Community College as authorized in the Navajo Community College Assistance Act of 1978, Public Law 95-471, Title II (25 U.S.C. 640a note). The term "Alaska Native-serving institution" means an institution of higher education that is an eligible institution under section 1058(b) of the Higher Education Act; and that, at the time of submission, has an undergraduate enrollment that is at least 20 percent Alaska Native students. The term "Native Hawaiian-serving institution" means an institution of higher education that is an eligible institution under section 1058(b) of the Higher Education Act; and that, at the time of submission, has an undergraduate enrollment that is at least 10 percent Native Hawaiian students. Most TCUP-eligible institutions of higher education are two-year or community colleges. See the Who May Submit Proposals section in this solicitation for further details.

CAREER:The Faculty Early Career Development (CAREER) Program is a Foundation-wide activity that offers the National Science Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization. Activities pursued by early-career faculty should build a firm foundation for a lifetime of leadership in integrating education and research. NSF encourages submission of CAREER proposals from early-career faculty at all CAREER-eligible organizations . PECASE:Each year NSF selects nominees for the Presidential Early Career Awards for Scientists and Engineers (PECASE) from among the most meritorious recent CAREER awardees.Selection for this award is based on twoimportant criteria:The criteria are 1) performance of innovative research at the frontiers of science, engineering, and technology that is relevant to the mission of the sponsoring organization or agency; and 2) community service demonstrated through scientific leadership, education or community outreach.These awards foster innovative developments in science and technology, increase awareness of careers in science and engineering, give recognition to the scientific missions of the participating agencies, enhance connections between fundamental research and national goals, and highlight the importance of science and technology for the Nation’s future. Individuals cannot apply for PECASE. These awards are initiated by the participating federal agencies. At NSF, up to twenty-six nominees for this award are selected each year from among the PECASE-eligible CAREER awardees most likely to become the leaders of academic research and education in the twenty-first century. The White House Office of Science and Technology Policy makes the final selection and announcement of the awardees.

The Topology program supports research on algebraic topology, including chromatic, equivariant, motivic, and (un)stable homotopy, homology and cohomology theories; bordism and K-theory; topological manifolds; knots and links; geometric topology; differential topology; transformation groups; topological quantum field theories; contact and symplectic structures; infinity and model categories; and topological data analysis. Conferences Topology proposals for conferences, workshops, summer/winter schools, and similar activities must be submitted to PD 22-1267 using the "Conference" or “Travel” proposal type in research.gov. The program’ssubmission windows for conference/travel proposalsare September 1-30 and April 1-30. Proposals with budgets not exceeding $50,000 should be submitted during a submission window that occursat least six months prior to the event. Proposals with budget requests that exceed $50,000 should be submitted during a submission window that occursat least eight months prior to the event. Principal Investigators should carefully read the relevant sections of the PAPPG to obtain important information regarding the substance of such proposals and note the additional requirements for travel support requests for international events.

The program in Geometric Analysis supports research on differential geometry and its relation to partial differential equations and variational principles; geometric methods in modern mathematical physics; symplectic geometry; geometric group theory; geometric data analysis; aspects of global analysis, including convex, complex, integral, and information geometries; and related geometric topics. Conferences Geometric Analysis proposals for conferences, workshops, summer/winter schools, and similar activities must be submitted to PD 22-1265 using the "Conference" or “Travel” proposal type in research.gov. The program’s submission windows for conference/travel proposals are September 1-30 and April 1-30. Proposals with budgets not exceeding $50,000 should be submitted during a submission window that occursat least six months prior to the event. Proposals with budget requests that exceed $50,000 should be submitted during a submission window that occursat least eight months prior to the event. Principal Investigators should carefully read the relevant sections of the PAPPG to obtain important information regarding the substance of such proposals and note the additional requirements for travel support requests for international events.

The Division of Mathematical Sciences (DMS)in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF)and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH)plan to support fundamental research in mathematics and statistics necessary to answer questions in the biological and biomedical sciences. Both agencies recognize the need to promote research at the interface between mathematical and life sciences. This program is designed to encourage new collaborations, as well as to support innovative activities by existing teams. The joint DMS/NIGMS initiative offers two submission tracks: Track 1 - for projects with a total budget of up to $600,000 for an award duration of 3 years, and Track 2 - for projects with a total budget of up to $1,200,000 for an award duration of 3-4 years.

The MCA program offers an opportunity for scientists and engineers at the mid-career stage (see restrictions under Additional Eligibility Information) to substantively enhance and advance theirresearch program and career trajectory. Mid-career scientists are at a critical career transition stage where they need to advance their research programs to ensure long-term productivity and creativity but are often constrained by service, teaching, or other activities that limit the amount of time devoted to research. The MCA program provides protected time, resources, and the means to gain new skills through synergistic and mutually beneficial partnerships, typically at an institution other than the candidate's home institution. Partners from outside the Principal Investigator's (PI) own subdiscipline or discipline are encouraged, but not required, to enhance interdisciplinary networking and convergence across science and engineering fields. Research p rojects that envision new insights on existing problems or identify new problems made accessible with cutting-edge methodology or expertise from other fields are encouraged . A key component of a successful MCA will be the demonstration that the PI's currentresearch program could substantively benefit from the protected time, mentored partnership(s), and resources provided through this program, such thatthere is a substantial enhancement to the PI's research and career trajectory, enabling scientific and academic advancementnot likely without this support. The MCA is the only cross-directorate NSF program specifically aimed at providing protected time and resources to established scientists and engineers targeted at the mid-career stage.Participating programs in the Directorates for Biological Sciences (BIO), Geosciences (GEO), Social, Behavioral and Economic Sciences (SBE), and Education and Human Resources (EHR) will accept MCA proposals. To help identify the disciplinary program in which the MCA should be reviewed, PIs are urged to investigate the research areas supported by the different directorates and participating programs. PIs are strongly encouraged to discuss the suitability of their MCA proposal with a Program Officer from the appropriate directorate (see https://new.nsf.gov/funding/opportunities/mca-mid-career-advancement/announcements/111199 ).PIs from EPSCoR jurisdictions are especially encouraged to apply.

This funding partnership between the National Science Foundation (NSF) and the National Endowment for the Humanities (NEH) supports projects to develop and advance knowledge concerning dynamic language infrastructure in the context of endangered human languages — languages that are both understudied and at risk of falling out of use. Made urgent by the imminent loss of roughly half of the approximately 7,000 currently used languages, this effort aims to exploit advances in human-language technology to build computational infrastructure for endangered language research. The program supports projects that contribute to data management and archiving, and to the development of the next generation of researchers. Funding can support fieldwork and other activities relevant to the digital recording, documentation and analysis, and archiving of endangered language data, including the preparation of lexicons, grammars, text samples, and databases. Funding is available in the form of one- to three-year senior research grants and conference proposals. Fellowship support is available through a separate funding opportunity administered by NEH . Note: a conference proposal should generally be submitted at least a year in advance of the scheduled date of the conference. For additional information about creating and submitting conference proposals, please refer to PAPPG Chapter II. E.9.

NSF Astronomy and Astrophysics Postdoctoral Fellowships provide an opportunity for highly qualified, recent doctoral scientists to carry out an integrated program of independent research and education. Fellows may engage in observational, instrumental, theoretical, laboratory or archival data research in any area of astronomy or astrophysics, in combination with a coherent educational plan for the duration of the fellowship. The program supports researchers for a period of up to three years with fellowships that may be taken to eligible host institutions of their choice. The program is intended to recognize early-career investigators of significant potential and to provide them with experience in research and education that will establish them in positions of distinction and leadership in the scientific community.

The Astronomy and Astrophysics Research Grants (AAG) Program is an inclusive and flexible funding opportunity to support research in the astronomical sciences. The Program provides individual investigator and collaborative research grants for observational, theoretical, laboratory, and archival data studies in astronomy and astrophysics. The Program also considers proposals for projects and tools that enable or enhance astronomical research. Proposals may span multiple disciplines and/or areas of study and may utilize multiple techniques.

Synopsis of Program: Science and Technology Studies (STS) is an interdisciplinary field that investigates the conceptual foundations, historical developments and social contexts of science, technology, engineering and mathematics (STEM), including medical science. The STS program supports proposals across a broad spectrum of research that uses historical, philosophical and social scientific methods to investigate STEM theory and practice. STS research may be empirical or conceptual; specifically, it may focus on the intellectual, material or social facets of STEM. Additional Resources SBE Office of Multidisciplinary Activities (SMA) Convergence Accelerator (C-Accel)

The Division of Atmospheric and Geospace Sciences (AGS), awards Postdoctoral Research Fellowships (PRF) to highly qualified early career investigators to carry out an independent research program. The research plan of each Fellowship must address scientific questions within the scope of AGS disciplines. These disciplines include Atmospheric Chemistry (ATC), Climate and Large-Scale Dynamics (CLD), Paleoclimate (PC), and Physical and Dynamic Meteorology (PDM) in the Atmospheric Sciences, and Aeronomy (AER), Magnetospheric Physics (MAG), Solar Terrestrial (ST), and Space Weather Research (SWR) in the Geospace Sciences. The AGS-PRF program supports researchers (also known as Fellows) for a period of up to 24 months with Fellowships that can be taken to the institution of their choice. The program is intended to recognize beginning investigators of significant potential and provide them with experiences in research that will broaden perspectives, facilitate interdisciplinary interactions, and help establish them in leadership positions within the Atmospheric and Geospace Sciences community. Fellowships are awards to individual Fellows, not institutions, and are administered by the Fellows.

The Directorate for Social, Behavioral and Economic Sciences (SBE) offers Postdoctoral Research Fellowships to encourageindependence earlyin the fellow'scareerby supporting his or herresearch and training goals.The research and training plan of each fellowship must address important scientific questions within thescope of the SBE directorate and the specific guidelines in this solicitation. The SPRF program offers two tracks: (I) Fundamental Research in the SBE Sciences (SPRF-FR) and (II) Broadening Participation in the SBE Sciences (SPRF-BP). See the full text of the solicitation for a detailed description of these tracks.

The Biological Anthropology Program seeks to advance scientific knowledge about the processes that have shaped biological diversity in living and fossil humans and their primate relatives through support of basic research on human and primate evolution, biological variation, and interactions between biology, behavior, and culture. The program supports a portfolio of research that demonstrates engagement with biological anthropological and evolutionary theory; includes diverse and interdisciplinary methods in field, laboratory and computational settings; encompasses multiple levels of analysis (e.g., molecular, organismal, population, ecosystem) and time scales from the short-term to evolutionary; and considers the ethical implications and societal impacts of the research. The program also supports a wide range of broader impact activities as part of research grants, including research outcomes with inherent benefit to society, efforts to broaden participation in science, technology, engineering, and mathematics (STEM) research, training and outreach activities and other evidence-based activities developed within the context of the mission, goals, and resources of the organizations and people involved.

Synopsis of Program: The fields of science, technology, engineering, and mathematics (STEM) hold much promise as sectors of the economy where we can expect to see continuous vigorous growth in the coming decades. STEM job creation is expected to outpace non-STEM job creation significantly, according to the Commerce Department, reflecting the importance of STEM knowledge to the US economy. The National Science Foundation (NSF) plays a leadership role in developing and implementing efforts to enhance and improve STEM education in the United States. Through the NSF Improving Undergraduate STEM Education (IUSE) initiative, the agency continues to make a substantial commitment to the highest caliber undergraduate STEM education through a Foundation-wide framework of investments. The IUSE: EDU is a core NSF STEM education program that seeks to promote novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. The program is open to application from all institutions of higher education and associated organizations. NSF places high value on educating students to be leaders and innovators in emerging and rapidly changing STEM fields as well as educating a scientifically literate public. In pursuit of this goal, IUSE: EDU supports projects that seek to bring recent advances in STEM knowledge into undergraduate education, that adapt, improve, and incorporate evidence-based practices into STEM teaching and learning, and that lay the groundwork for institutional improvement in STEM education. In addition to innovative work at the frontier of STEM education, this program also encourages replication of research studies to produce deeper knowledge about the effectiveness and transferability of findings. IIUSE: EDU also seeks to support projects that have high potential for broader societal impacts, including professional development for instructors to ensure adoption of new and effective pedagogical techniques that meet the changing needs of students, and projects that promote institutional partnerships for collaborative research and development. For all the above objectives, the National Science Foundation invests primarily in evidence-based and knowledge-generating approaches to understand and improve STEM learning and learning environments and prepare STEM majors for the workforce. In addition to contributing to STEM education in the host institution(s), proposals should have the promise of adding more broadly to our understanding of effective teaching and learning practices. The IUSE: EDU program features two tracks: (1) Engaged Student Learning and (2) Institutional and Community Transformation.

This program seeks to prepare, nurture, and grow the national scientific research workforce for creating, utilizing, and supporting advanced cyberinfrastructure (CI) to enable and potentially transform fundamental science and engineering (S&E) research and education and contribute to the Nation's overall economic competitiveness and security. The goals of this solicitation are to (i) ensure broad adoption of CI tools, methods, and resources by the research community in order to catalyze major research advances and to enhance researchers’ abilities to lead the development of new CI, and (ii) integrate core literacy and discipline-appropriate advanced skills in advanced CI as well as computational and data-driven methods for advancing fundamental research, into the Nation’s undergraduate and graduate educational curriculum/instructional materials. Proposals responding to this solicitation may target one or both solicitation goals. For the purpose of this solicitation, advanced CI is broadly defined as the set of resources, tools, methods, and services for advanced computation, large-scale data handling and analytics, and networking and security for large-scale systems that collectively enable potentially transformative fundamental S&E research and education. This solicitation calls for innovative, scalable training, education, and curriculum/instructional materials—targeting one or more of the solicitation goals—to address emerging needs and unresolved bottlenecks in the S&E research workforce development, from the postsecondary level to active researchers to CI professionals. The funded activities, spanning targeted, multidisciplinary communities, should lead to transformative changes in the state of research workforce preparedness for advanced CI-enabled research in the short- and long-term. This solicitation also seeks to broaden CI access and adoption by (i) increasing the adoption of advanced CI and computational and data-driven methods to a broader range of S&E disciplines and institutions and (ii) effectively utilizing individual capabilities. Proposals from, and in partnership with, the aforementioned communities are especially encouraged. There are two project classes as defined below: Pilot Projects: up to $300,000 total budget with durations up to two years; and Implementation Projects: Small (with total budgets of up to $500,000) or Medium (with total budgets of up to $1,000,000) for durations of up to four years. Section II. Program Description provides a more complete description of the project classes. Section V.A. Proposal Preparation Instructions describes the proposal elements required for the various project classes in order to address the suitable set of solicitation-specific review criteria. The CyberTraining program is led by the Office of Advanced Cyberinfrastructure (OAC) in the Directorate for Computer and Information Science and Engineering (CISE) and has participation from other NSF directorates/divisions, as described in Section II. Program Description, Programmatic Areas of Interest. Not all directorates/divisions are participating at the same level, and some have specific research and education priorities. The appropriate contact for the CyberTraining program in any directorate/division is the Cognizant Program Officer (PO) for the respective directorate/division/office/program listed below. All projects are expected to clearly articulate how they will address important community needs and provide resources that will be widely available to and usable by the research community.Prospective principal investigators (PIs) are strongly encouraged to contact the Cognizant Program Officers in CISE/OAC and in the participating directorate/division relevant to the proposal to ascertain whether the focus and budget of their proposed activities are appropriate for this solicitation. Such consultations should be completed at least one month in advance of the submission deadline. PIs should include the names of the Cognizant Program Officers consulted in a Single Copy Document as described in Section V.A. Proposal Preparation Instructions. The intent of the CyberTraining program is to encourage collaboration between CI and S&E domain disciplines. (For this purpose, units of CISE other than OAC are considered domain disciplines.) To ensure relevance to community needs and to facilitate adoption, those proposals of interest to one or more domain divisions must include at least one PI/co-PI with expertise relevant to the targeted research discipline. All proposals shall include at least one PI/co-PI with expertise relevant to OAC. Prospective PIs contemplating submissions that primarily target communities relevant to directorates/divisions that are not participating in this solicitation are directed to instead explore the education and workforce development programs of the respective directorates/divisions.

The Social Psychology Program at NSF supports theoretically focused empirical investigations that advance fundamental social psychological explanations of human behavior, attitudes, and experience. Synopsis The Social Psychology Program invites research and infrastructure proposals that advance knowledge of how human behavior is influenced by macro- and micro-level social forces, including how thought, motivation, emotion, neural, and physiological processes explain ways of thinking about and relating to self and others. Proposed research should carry strong potential for groundbreaking discoveries about the power of social dynamics to shape peoples’ attitudes, behavior, and experience. Basic research that connects to emerging and ongoing global challenges is especially encouraged. Proposals that develop new theories or methods are highly encouraged. Proposals involving non-human animals are considered only if the research offers clear and direct contributions to understanding human social behavior. Note: Proposals may be returned without review if the primary goal of the research is to improve clinical practice as its primary outcome, or contains disease-related goals, including work on the etiology, diagnosis or treatment of physical or mental illness or disease, medical abnormality, or clinical interventions. In assessing intellectual merit, the Social Psychology Program places highest priority on research that is theoretically grounded, based on empirical observation and validation, and with designs appropriate to the questions asked (including but not limited to experiments, naturalistic observations, field studies, longitudinal analyses, and computational modeling). In assessing broader impacts, the Social Psychology Program places highest priority on proposals that offer strong potential to benefit society, strengthen national security interests, improve the quality of life, build STEM talent, enhance infrastructure for research and education, increase public engagement with science, and include a proactive plan for sharing the results with a wide variety of audiences. PIs are encouraged to review the NSF resources on broader impact . The Social Psychology Program expects the methods, measures and data that result from NSF support to be openly shared with other researchers and the public. For further guidance proposers should consult Data Management for NSF SBE Directorate Proposals and Awards . The Data Management and Sharing Plan (DMSP) should articulate how the proposed research will engage with best practices of open science. Researchers are expected to engage in open science practices and deviations from that should be well-justified. The Social Psychology Program accepts regular research proposals, including Faculty Early Career Development (CAREER) proposals, proposals for research in undergraduate institutions (RUI), rapid response research proposals (RAPID) and early-concept grants for exploratory research (EAGER). The program also accepts small conference proposals for events (including workshops) being planned one year or more after submission. The Social Psychology Program does not accept proposals for doctoral dissertation improvement awards or mid-career advancement (MCA) awards. Principal Investigators should select PD 22-1332 in the program announcement/solicitation block on the proposal cover sheet for submission of regular research projects to the Social Psychology program. Interdisciplinary, multidisciplinary and convergent research approaches are encouraged, and PIs are encouraged to identify possible other programs for co-review. PIs are strongly encouraged to submit the Single Copy Document titled “List of Suggested Reviewers” with their full proposal. Investigators are encouraged to contact a Social Psychology program director before submitting a proposal to confirm its fit with the scope and priorities of the Social Psychology Program. Such contact is most productive when a one-page (maximum) summary of the planned proposal is sent ahead of a meeting. This summary should include a description of the proposed intellectual merit and broader impacts, as well as an additional page of references cited. The Social Psychology program is always interested in identifying new reviewers. Potential reviewers should have a Ph.D. in psychology or related field and have a demonstrated area of basic research expertise relevant to social psychology. Individuals interested in reviewing for the program should complete a short survey to indicate their area of expertise and contact information.

Oceanographic facilities and equipment are supported by the Integrative Programs Section (IPS) of the Division of Ocean Sciences (OCE), Directorate for Geosciences (GEO). These awards are made for the procurement, conversion and/or upgrade, enhancement, or annual operation of platforms in the ocean, coastal and near-shore waters, and Great Lakes. Awards are generally directed specifically to support facilities that lend themselves to shared use within the broad range of Federally supported research and education programs.Most of these platforms and facilities also receive partial support from other federal agencies, state and local governments, and private sources on a proportional basis usually through a daily rate mechanism. The primary objective of these awards is to ensure the availability of appropriate oceanographic facilities for Federally funded investigators and educators. Individual project-based facilities and instrumentation, limited to one, or a small group of, investigator(s), should be supported through appropriate research programs as opposed to through the IPS programs listed herein. The individual programs covered within this solicitation include: 1. Oceanographic Technical Services (Tech Services) 2. Oceanographic Instrumentation (OI) 3. Shipboard Scientific Support Equipment (SSSE) Oceanographic Technical Service (Tech Services): The Tech Services Program provides support of institutional technical services to enhance the scientific productivity of research programs, aboard research vessels and in shore-based, shared-use facilities. Research vessel technical services include quality assurance, scheduling of technical support, logistical assistance, and at-sea supervision of the instrumentation and shared-use equipment available to sea-going researchers. This program also provides baseline operational support for the University-National Oceanographic Laboratory System (UNOLS) equipment pools (wire, vans and winches). Support of research vessel technical services and UNOLS equipment pools includes salaries and related expenses, maintenance and calibration of sensors and instrumentation, and associated travel. Oceanographic technical services support requests must be directly attributable to NSF-sponsored science. With the exception of the wire pool, requests for new or replacement capital equipment must be made through the SSSE or OI programs. Oceanographic Instrumentation (OI): The OI Program provides support to enhance the scientific capabilities and productivity of seagoing research projects that utilize research vessels as well as shore-based, shared-use facilities. Proposals may include shared-use instrumentation for the collection, processing, and analysis of oceanographic data. Typical instrumentation includes sensors, acoustic systems, data loggers, water sampling rosettes, biological net systems, coring equipment and auto-analyzers. Proposals must be for instrumentation that will support multiple research projects.OI proposals are generally submitted by the institution's Tech Services manager whose operational funding is provided through the OCE Technical Services Program. Shipboard Scientific Support Equipment (SSSE): The SSSE Program provides support to improve safety and enhance scientific capabilities and productivity of seagoing research programs that utilize research vessels as well as shore-based, shared-use facilities.. Proposals may include new permanent or portable equipment required to outfit a vessel to conduct oceanographic research as well as overhaul of equipment previously funded under this program, including science handling systems (winches, frames, cranes, etc.), navigation and communication equipment, and safety and regulatory-related items. Requests for purchase of new winch pool or van pool capital equipment must be submitted to this program. SSSE proposals are generally submitted by the institution's Marine Superintendent whose operational funding is provided through the Ship Operations Program in OCE.

NSF GRANTED supports innovative models of research enterprise administrative development and workforce training infrastructure that promote sustainable research capacity and opportunities for economic impactin U.S. organizations. The research enterprise, broadly defined, includes research development and administration, research analytics, technology transfer and commercialization, corporate relations/public-private partnerships, research integrity, compliance and security, research policy, administration of student research training, and research leadership. Strengthening and transforming this administrative infrastructure is necessary to fully utilize the Nation's research talent and capabilities and empower America's organizations that engage in or support research and its outcomes, to participate in a globally competitive research enterprise. Program Description Maintaining U.S. global leadership demands a research enterprise that is competitive, effective, sustainable a nd contributes to the Nation's economic growth goals. A strong national research enterprise relies on more than funding for the research itself. It also requires robust administrative support-and-service infrastructure, which is often unseen, yet includes critical components to ensure a competitive research environment regardless of organization or location. Research enterprise infrastructure enables the development of proposals and management of awards and supports research translation through technology transfer and public-private partnerships. Research compliance enables the security and integrity of research approaches. Research analytics and communication, managing the training of the U.S. scientific workforce, and harnessing the creativity and drive of research leadership, and more, are also fundamental components of the infrastructure. The GRANTED initiative provides unique opportunities to realize a broad and collaborative vision for research enterprise infrastructure. Proposals in response to this GRANTED program description should engage the professional, administrative research support-and-service workforce in project leadership roles described within proposals.Proposed projects should look beyond individual and discipline-specific research needs and focus on activities that create organization-wide impact and potential for regional and national impact. Projects should propose scalable approaches and models to build and sustain research enterprise infrastructure.Competitive proposals will recognize structural and organizational challenges and include goals to implement interventions, solutions, and/or strategies that will mitigate the challenges. Proposals must be centered around one or more of the three main themes of GRANTED: Innovating and enhancing practices and processes within the research enterprise; Developing and strengthening human capital within the research enterprise; and Translating effective practices related to the research enterprise into a broad range of organizational contexts. The GRANTED program utilizes general proposal requirements, including eligibility, as outlined in the current NSF Proposal and Award Policies and Procedures Guide (PAPPG). Prospective PIs are strongly encouraged to contact GRANTED initiative personnel ( GRANTED@nsf.gov ) with inquiries prior to developing and submitting a proposal to this program description. The project budget and duration should be determined by the scope of the proposed activities and presented in accordance with the PAPPG.GRANTED is not intended to fund discipline-specific STEM research and training projects. Collectively, proposals funded through this Program Description will advance transformation of the national research enterprise, measured through 1) generating scalable models that improve research capacity and competitiveness, 2) creating collaborations, partnerships, and communities centered around strengthening the Nation's research enterprise, 3) increasing the range of project leadership, organizations, ideas, and approaches that NSF funds, especially related to developing areas aligned to agency priorities, and 4) strengthening engagement across the Nation’s research enterprise.

The National Science Foundation (NSF) and the National Institutes of Health (NIH) are interested in proposals that will propel our understanding of the biomedical research enterprise by drawing from the scientific expertise of the science of science policy research community. NSF promotes the progress of science by maintaining the general health of research and education across all fields of science and engineering. The Social, Behavioral and Economic Sciences (SBE) Directorate within NSF supports basic research on people and society. The SBE sciences focus on human behavior and social organizations; how social, economic, political, cultural and environmental forces affect the lives of people from birth to old age; and how people in turn shape those forces. SBE's Science of Science: Discovery, Communication and Impact Program (SoS:DCI) supports research designed to advance the scientific basis of science and innovation policy. The NIH is the U.S. federal agency charged with supporting biomedical research in the U.S.The National Institute of General Medical Sciences (NIGMS) within the NIH supports basic biomedical research that increases understanding of biological processes and lays the foundation for advances in disease diagnosis, treatment and prevention. Both NSF and NIH believe that there are opportunities and needs for building and supporting research projects with a focus on the scientific research enterprise. The two agencies also recognize that when programmatic goals are compatible, coordinated management and funding of a research program can have a positive synergistic effect on the level and scope of research and can leverage the investments of both agencies. Therefore, NIGMS and SBE are partnering to enable collaboration in research between theSoS:DCI program and NIGMS. This partnership will result in a portfolio of high-quality research to provide scientific analysis of important aspects of the biomedical research enterprise and efforts to foster a diverse, innovative, productive and efficient scientific workforce, from which future scientific leaders will emerge. Prospective investigators are strongly encouraged to discuss theirproposals with the program officers before submission to determine project relevance to the priorities of both SBE and NIGMS. Specific questions pertaining to this solicitation can also be directed to the SBE and NIGMS program officers.

The Archaeology Program administers an annual Archaeometry competition with a target date of December 1. The goal is to fund projects in two main categories: To develop or refine anthropologically relevant archaeometric techniques. Examples include the development of methods to identify specific types of organic residues on ceramics or development of field applicable analytic techniques. To support laboratories which provide relevant services. This includes support of service laboratories which, for example, may provide dating trace element, isotopic and dendrochronological analyses. It also includes support for data archives, which function to strengthen basic archaeological infrastructure. Projects which apply standard archaeometic techniques with the goal to answer specific archaeological questions should be submitted to the Archaeology SeniorResearch Awards competition . Proposals are evaluated by both ad hoc reviewers and a panel composed of individuals who combine both archaeological and archaeometric expertise.

The Infrastructure Capacity for Biological Research (Capacity) Program supports the implementation of, scaling of, or major improvements to research tools, products, and services that advance contemporary biology in any research area supported by the Directorate forBiological Sciences at NSF. The Capacity Program focuses on building capacity in research infrastructure that is broadly applicable to a wide range of researchers in three programmatic areas: Cyberinfrastructure, Biological Collections, and Biological Field Stations and Marine Laboratories. This program will also accept proposals for planning activities or workshops to facilitate coordination that may be necessary in building capacity in infrastructure that meets the needs of a research community. Areas not included in this program are instrumentation (PIs should submit to the MRI program) and, projects that develop infrastructure for a specific research project, laboratory, or institution (PIs should submitted to the relevant BIO programs that would normally support that research). Projects are expected to produce quality products, result in important science outcomes that will be achieved by the users of the resource, be openly accessible to a broad scientific and education community, and serve a community of researchers beyond a single research team.

The Infrastructure Innovation for Biological Research Program (Innovation) supports research to design novel or greatly improved research tools and methods that advance contemporary biology in any research area supported by the Directorate forBiological Sciences at NSF. The Innovation Program focuses on research infrastructure that is broadly applicable to researchers in three programmatic areas: Bioinformatics, Instrumentation, and Research Methods. Infrastructure supported by this program is expected to advance biological understanding by improving scientists’ abilities to manipulate, control, analyze, or measure critical aspects of biological systems, which can be essential for addressing important fundamental research questions. Proposals submitted to these programmatic areas can do one of three things to advance or transform research in biology: develop novel infrastructure, significantly redesign existing infrastructure, or adapt existing infrastructure in novel ways. Projects are expected to have a significant application to one or more biological science questions and have the potential to be used by a community of researchers beyond a single research team. Please refer to the descriptions of individual programmatic areas for detailed guidance on what is supported through this solicitation (see links below).

The Decision, Risk and Management Sciences Program (DRMS) supports scientific research directed at increasing understanding and effectiveness of decision making by individuals, groups, organizations and society. DRMS supports research with solid foundations in theories and methods of the social and behavioral sciences. This social and behavioral science research should advance knowledge, address fundamental scientific and societal issues and have strong broader impacts. DRMS funds disciplinary and interdisciplinary research, doctoral dissertation research improvement grants (DDRIGs) and conferences in the following areas: judgment and decision making; decision analysis and decision aids; risk analysis, perception and communication; societal and public-policy decision making; management science and organizational design. The program supports the use of the RAPID funding mechanism for research that involves ephemeral data, typically tied to disasters or other unanticipated events. Much less frequently, the program also supports highly unusual, proof-of-concept, high-risk projects that are potentially transformational (Early Concept Grants for Exploratory Research – EAGER). For detailed information concerning RAPID and EAGER grants, please review Chapter II.E of the NSF PAPPG . All research must be grounded in theory and generalizable. Purely algorithmic management-science proposals should be submitted to the Operations Engineering (OE) Program rather than to DRMS. Decision, Risk and Management Sciences offers Doctoral Dissertation Research Improvement Grants (DDRIGs) to improve the quality of dissertation research.For detailed guidelines on preparing a DDRIG proposal, consult the separate DRMS-DDRIG solicitation .

The Economics program supports research designed to improve the understanding of the processes and institutions of the U.S. economy and of the world system of which it is a part. This program also strengthens both empirical and theoretical economic analysis as well as the methods for rigorous research on economic behavior. It supports research in almost every area of economics, including econometrics, economic history, environmental economics, finance, industrial organization, international economics, labor economics, macroeconomics, mathematical economics, and public finance. The Economics program welcomes proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, symposia, experimental research, data collection and dissemination, computer equipment and other instrumentation, and research experience for undergraduates. The program places a high priority on interdisciplinary research. Investigators are encouraged to submit proposals of joint interest to the Economics Program and other NSF programs and NSF initiative areas. The program places a high priority on broadening participation and encourages proposals from groups and regions that traditionally have not participated fully in science, mathematics, and engineering. The program also funds conferences and interdisciplinary research that strengthens links among economics and the other social and behavioral sciences as well as mathematics and statistics. The Doctoral Dissertation Research Improvement Grants (DDRIG) funding opportunity is designed to improve the quality of dissertation research.DDRIG proposals are submitted by a faculty member on behalf of the graduate student. DDRIG awards provide funds for items not normally available through the student's university such as enabling doctoral students to undertake significant data-gathering projects and to conduct field research in settings away from their campus. DDRIGs do not provide cost-of-living or other stipends or tuition.Outstanding DDRIG proposals specify how the knowledge to be created advances economics science. Proposals for Doctoral Dissertation Research Improvement Grants (DDRIGS) in Economics should follow the directions for submissions in the PAPPG . Please contact an Economics program officer if you plan to submit a DDRIG proposal. For additional funding opportunities, we invite you to also look at the SBE Office of Multidisciplinary Activities web site .

The Human Networks and Data Science program (HNDS) supports research that enhances understanding of human behavior by leveraging data and network science research across a broad range of topics. HNDS research will identify ways in which dynamic, distributed, or heterogeneous data can provide novel answers to fundamental questions about individual or group behavior. HNDS is especially interested in proposals that provide data-rich insights about human networks to support improved health, prosperity, and security. HNDS has two tracks: (1) Human Networks and Data Science – Infrastructure (HNDS-I). Infrastructure proposals will address the development of data resources and relevant analytic techniques that support fundamental Social, Behavioral and Economic (SBE) research. Successful infrastructure proposals will construct, within the financial resources provided by the award, databases or relevant analytic techniques and produce a finished product that will enable previously impossible data-intensive research in the social sciences. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by making possible new types of data-intensive research in the SBE sciences. (2) Human Networks and Data Science – Core Research (HNDS-R). Core research proposals will advance theory in a core SBE discipline by the application of data and network science methods. This includes the leveraging of large data sets with diverse spatio-temporal scales of measurement and linked qualitative and quantitative approaches, as well as multi-scale, multi-level network data and techniques of network analysis. Supported projects are expected to yield results that will enhance, expand, and transform theory and methods, and that generate novel understandings of human behavior – particularly understandings that can lead to significant societal benefits or opportunities. HNDS-R encourages core research proposals that make innovative use of NSF-supported data networks, databases, centers and other forms of scientific infrastructure including those developed by HNDS-I (formerly RIDIR) projects .

CREST Center awards provide support to enhance the research capabilities of Minority-serving institutions (MSIs) through the establishment of centers that effectively integrate education and research. CREST Center awards promote the development of new knowledge, enhancements of the research productivity of individual faculty, and an expanded presence of students historically underrepresented in science, technology, engineering, and mathematics (STEM) disciplines. Successful CREST Center proposals will demonstrate a clear vision and integration of STEM research and education and will align with the mission of the Division of Equity for Excellence in STEM (EES) with respect to the development of a diverse STEM workforce. CREST Centers are also expected to provide leadership by meaningfully involving the efforts of those faculty, students, and postdoctoral researchers who are traditionally underrepresented in STEM at all levels. Centers are required to use evidence-based and innovative strategies to address salient broadening participation and workforce development issues, such as recruitment, retention, and mentorship of participants from underrepresented groups. Successful proposals are expected to achieve national research competitiveness, broaden participation in STEM, and generate sustained, non-CREST funding from federal, state, and/or private-sector sources. PhaseI and Phase II CREST Center Awards Preliminary proposals are required for Phase I and Phase II projects. Thus, an invitation from NSF must be received before submitting a full proposal. Both Phase I and Phase II CREST Center awards provide multi-year support for institutions that demonstrate a strong research base. Phase I CREST Center awards provide funding for five years of research on a specific NSF-supported topic. If invited, institutions may submit a Phase II CREST Center proposal requesting funding to continue research in the same disciplinary area as the Phase I Center or may submit a Phase I proposal focused on a disciplinary area that is significantly different from those of the previous award(s). CREST Partnership Supplements CREST Partnership Supplemental funding requests are invited from current CREST Center awardees. Supplements support the establishment or strengthening of partnerships and collaborations with active CREST Centers and other nationally or internationally recognized research centers (including NSF-supported research centers), private sector research laboratories, K-12 schools, and/or informal science entities, including museums and science centers, as appropriate. Such partnerships and collaborations should aid CREST Centers’ quest in advancing knowledge and education on a research theme of national significance.

The Historically Black Colleges and Universities - Excellence in Research (HBCU-EiR) program was established in response to direction provided in the Senate Commerce and Justice, Science and Related Agencies Appropriations Subcommittee Report (Senate Report 115-139), and is built on prior and continuing efforts by the National Science Foundation (NSF) to strengthen research capacity at Historically Black Colleges and Universities (HBCUs). This report provided guidance to NSF to establish the HBCU Excellence in Research program "to provide opportunities for both public and private HBCUs, particularly for those who have not been successful in larger NSF Research & Related Activities competitions, in order to stimulate sustainable improvement in their research and development capacity" ( https://congress.gov/congressional-report/115th-congress/senate-report/139/1 ). EiR supports such capacity building by funding research projects aligned with NSF's research programs. The program aims to establish stronger connections between researchers at HBCUs and NSF's research programs.

The Research Experiences for Undergraduates (REU) program supports active research participation by undergraduate students in any of the areas of research funded by the National Science Foundation. REU projects involve students in meaningful ways in ongoing research programs or in research projects specifically designed for the REU program. This solicitation features two mechanisms for supporting student research: REU Sites are based on independent proposals to initiate and conduct projects that engage a number of students in research. REU Sites may be based in a single discipline or academic department or may offer interdisciplinary or multi-department research opportunities with a coherent intellectual theme. REU Supplements may be included as a component of proposals for new or renewal NSF grants or cooperative agreements or may be requested for ongoing NSF-funded research projects. REU projects with an international dimension are welcome. Undergraduate student participants in either REU Sites or REU Supplements must be U.S. citizens, U.S. nationals,or U.S. permanent residents. Students do not apply to NSF to participate in REU activities, and NSF does not select students for the opportunities. Investigators who receive REU awards establish their own process for receiving and reviewing applications and selecting students, and students follow the instructions provided by each REU Site or REU Supplement to apply. (In some cases, investigators pre-select students for REU Supplements.) To identify appropriate REU Sites, students should consult the directory of active REU Sites on the Web at https://www.nsf.gov/crssprgm/reu/reu_search.cfm .

The purpose of the Mathematical Sciences Postdoctoral Research Fellowships (MSPRF) is to support future leaders in mathematics and statistics by facilitating their participation in postdoctoral research environments thatwill have maximal impact on their future scientific development. There are two options for awardees: Research Fellowship and Research Instructorship. Awards will support research in areas of mathematics and statistics, including applications to other disciplines.

Mathematical Sciences Research Institutes are national resources that aim to advance research in the mathematical sciences through programs supporting discovery and dissemination of knowledge in mathematics and statistics and enhancing connections to related fields in which the mathematical sciences can play important roles. Institute activities help focus the attention of some of the best mathematical minds on problems of particular importance and timeliness. Institutes are also community resources that involve a broad segment of U.S.-based mathematical sciences researchers in their activities. The goals of the Mathematical Sciences Research Institutes program include advancing research in the mathematical sciences, increasing the impact of the mathematical sciences in other disciplines, and expanding the talent base engaged in mathematical research in the United States.

The National Science Foundation (NSF) invites investigators at U.S. organizations to submit proposals to the Arctic Sciences Section in the Office of Polar Programs (OPP) within the Geosciences Directorate, to conduct research about the Arctic region. The goal of this solicitation is to attract research proposals that advance a fundamental, process, and/or systems-level understanding of the Arctic's rapidly changing natural environment, social and cultural systems, and, where appropriate, to improve our capacity to project future change. The Arctic Sciences Section supports research focused on the Arctic region and its connectivity with lower latitudes. The scientific scope is aligned with, but not limited to, research priorities outlined in the Interagency Arctic Research Policy Committee (IARPC) five-year plan. The Arctic Sciences Section coordinates with programs across NSF and with other federal and international partners to co-review and co-fund Arctic-related proposals as appropriate. The Arctic Sciences Section also maintains Arctic logistical infrastructure and field support capabilities that are available to enable research.

Proposals in the area of plasma physics submitted to the Division of Physics that are not governed by another solicitation (such as CAREER), should be submitted to the Division-wide solicitation: Division of Physics: Investigator-Initiated Research Projects . The Plasma Physics program participates in multiple NSF meta-programs such as the ECosytem for Leading Innovation in Plasma Science and Engineering (ECLIPSE) , Windows on the Universe: The Era of Multi-Messenger Astrophysics (WoU-MMA) , and Computational and Data-enabled Science and Engineering (CDS&E) . Topically appropriate proposals may also be submitted to the Plasma Physics program in response to NSF Dear Colleague Letters such as Critical Aspects of Sustainability (CAS): Innovative Solutions to Sustainable Chemistry (CAS-SC) . When permitted under an MOU between NSF and another funding agency or private foundation, NSF may share information from proposals submitted to this solicitation for consideration of joint funding, and may invite employees of such organizations to attend merit review panels as observers. MOUs of relevance to the Plasma Physics program presently exist with the Department of Energy/Office of Science, National Nuclear Security Administration, the Air Force Office of Scientific Research, the US-Israel Binational Science Foundation, the Czech Science Foundation, Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), and the Swiss National Science Foundation. Plasma Physics is a study of matter and physical systems whose intrinsic properties are governed by collective interactions of large ensembles of free charged particles. 99.9% of the visible Universe is thought to consist of plasmas. The underlying physics of the collective behavior in plasmas has applications to space physics and astrophysics, materials science, applied mathematics, fusion science, accelerator science, and many branches of engineering. The Plasma Physics program supports research that can be categorized by several broad, sometimes overlapping, sub-areas of the discipline, including: magnetized plasmas in the laboratory, space, and astrophysical environments; high energy density plasmas; low temperature plasmas; dusty, ultra-cold, and otherwise strongly coupled plasmas; non-neutral plasmas; and intense field-matter interaction in plasmas. The focus of the Plasma Physics program is to generate an understanding of the fundamental principles governing the physical behavior of a plasma via collective interactions of large ensembles of free charged particles, as well as to improve the basic understanding of the plasma state as needed for other areas of science and engineering. Principal Investigators (PIs) are encouraged to consider including specific efforts to increase diversity of the plasma physics community and broaden participation of under-represented groups in Science, Technology, Engineering, and Mathematics (STEM) as Broader Impacts of proposed work. Development of new undergraduate and graduate plasma physics curricula, or curricula enhancement to include plasma physics topics in other courses, at institutions lacking such coursework is similarly encouraged. NSF recognizes that some research projects within this Program may require more than three years to realize demonstrable research outcomes. For such projects, PIs are encouraged to consult the above Program Director to discuss the possibility of submitting a proposal of 4- or 5-year duration. Some Plasma Physics-related activities are supported primarily by other NSF Programs. Proposals focused on the physical properties of individual or a small number of atoms or molecules, or optical physics, should be directed to the Atomic, Molecular, and Optical Physics Program within the Division of Physics. Proposals focused on understanding astrophysical systems should be directed to the Division of Astronomical Sciences. Proposals focused on understanding the Geospace environment or the Sun-Earth interactions should be directed to an appropriate program within the Geospace Section of the Division of Atmospheric and Geospace Sciences. Proposals focused on development of new materials using plasmas should be directed to an appropriate program in the Division of Materials Research. Proposals focused on plasma-assisted manufacturing should be directed to the Division of Civil, Mechanical and Manufacturing Innovation. Finally, proposals focused on use of plasmas for environmental and reaction engineering, environmental sustainability, combustion systems, or engineering of biomedical systems should be directed to an appropriate program within the Division of Chemical, Bioengineering, Environmental and Transport systems.

The Cognitive Neuroscience (CogNeuro) program seeks to fund proposals that can advance our understanding of the neural mechanisms underlying human cognition and behavior. Funded proposals typically relate precise and rich quantifications of physiological responses and behavior in ways that advance theory (Intellectual Merit). Funded proposal also typically strengthen the field through, for example, outreach, mentoring the next generation of diverse cognitive neuroscientists, and/or increasing awareness and utilization of the research the field produces (Broader Impacts). Intellectual Merit In general, successful proposals provide a theoretical motivation and consist of a series of experiments/analyses that test the differential predictions of that theory; they go beyond quantifying physiology during certain tasks and behaviors. Research topics considered for funding include but are not limited to: perception, recognition, categorization, implicit and explicit memory, working memory, attention, language, decision-making, and social reasoning. Commensurate with the inherently multidisciplinary nature of the field and the limitations of any single technique, a wide variety of physiological methods are considered, including but not limited to: neuroimaging (e.g., fMRI, EEG, MEG), non-invasive stimulation (e.g. TMS, tDCS), lesion analysis, intracranial recording, optogenetics, genetics, optical imaging, computational modeling, and pharmacological interventions in both human and non-human primates and other animal models. The program is particularly interested in proposals that achieve or enable convergence across multiple techniques. Critically, proposals will be returned without review if they are focused on: 1) either behavior or physiology and lack a specific link between them, 2) understanding clinical populations, 3) non-human animals without a clear benefit to our understanding of humans. Broader Impacts In general, successful proposals make impacts beyond traditional academic routes, such as publishing research or teaching undergraduate courses. Strong broader impacts can be quite varied but will typically involve specific efforts strengthening the field and/or increasing its visibility that leverage the characteristics of the institution, department, and/or researcher. Consider the following non-exhaustive examples: 1) STEM education and outreach, particularly in underserved communities, 2) directly involving undergraduates and high-school students in research, 3) making tools and applications for the general public, 4) science journalism or advocacy. These efforts can, but need not, directly relate to the proposed research. It is also encouraged to include budget for these efforts if warranted. Mentoring Plans Strong mentoring plans generally go beyond inclusion in standard lab activities and incorporate specific ideas for forwarding the careers of young scientists and trainees that leverage the setting and content of the proposed research. General Directions Prior to the development of a full proposal, investigators are strongly encouraged to submit a one-page summary of the proposed research to a program director to evaluate its appropriateness for the CogNeuro program. Please contact the director early enough to allow for revisions and incorporation what may be extensive feedback. The summary should include an overview of your research and statements of intellectual merit and broader impacts, the two NSF review criteria. See the Merit Review Fact Sheet for more important facts about the NSF merit review process. Please read the NSF Proposal & Award Policies & Procedures Guide (PAPPG) carefully, as it will be strictly adhered to even if other directives or communications appear to contradict it. Currently, the average standard/CAREER award size is $175,000-$225,000 per year for 3-5 years. Awards in excess of $1.0 million are exceptionally rare and almost always multidisciplinary. Please be judicious in your requests, understanding the realities of the limited funding available for all proposals. See the Listing of Active Cognitive Neuroscience Awards for additional award information. Declined proposals are ineligible for resubmission until a minimum of one year has passed since the due date of their initial submission, unless specifically allowed by the PO in the feedback received during the decline process. This moratorium allows investigators the time required to digest the results of the merit review and revise their proposal accordingly. A proposal that has not been substantially revised will be returned without review as per the PAPPG. PIs are strongly encouraged to submit the Single Copy Document titled “List of Suggested Reviewers” with their full proposal. Sharing of data and other materials is an expectation for funded research. Please consult the NSF Dear Colleague Letter: Effective Practices for Data for more details. Interested in talking with a program director? Send a one-page description of the proposed research to sbe-cogneuro@nsf.gov.

The Research Experiences for Teachers (RET) in Engineering and Computer Science program supports authentic summer research experiences for K-14 educators to foster long-term collaborations between universities, community colleges, school districts, and industry partners. With this solicitation, the Directorates for Engineering (ENG) and Computer and Information Science and Engineering (CISE) focus on a reciprocal exchange of expertise between K-14 educators and research faculty and (when applicable) industry mentors. K-14 educators will enhance their scientific disciplinary knowledge in engineering or computer science and translate their research experiences into classroom activities and curricula to broaden their students’ awareness of and participation in computing and engineering pathways. At the same time, the hosting research faculty will deepen their understanding of classroom practices, current curricula, pedagogy, and K-14 educational environments.

Convergence research is a means for solving vexing research problems, in particular, complex problems focusing on societal needs or deep scientific challenges. It entails integrating knowledge, methods, and expertise from different disciplines and developing novel paradigms that catalyze scientific discovery and innovation. GCR identifies Convergence Research as having two primary characteristics: Research driven by a specific and compelling problem.Convergence research is generally inspired by the need to address a specific challenge or opportunity, whether it arises from deep scientific questions or pressing societal needs. Deep integration across disciplines.As experts from different disciplines pursue common research challenges, their knowledge, theories, methods, data, research communities andlanguages become increasingly intermingled or integrated. New frameworks, paradigms or even disciplines can form sustained interactions across multiple communities. A distinct characteristic of convergence research, in contrast to other forms of multidisciplinary research, is that from the inception, the convergence paradigmintentionallybrings together intellectually diverse researchers and stakeholders to frame the research questions, adopt common frameworks for addressing them, and create and implement innovative scientific approaches for their solution. This includes, when appropriate, developing new integrated theories, methods, research tools, and ways of communicating across disciplines and sectors.Research teams practicing convergence aim to develop sustainable collaborations that may not only create solutions to the specific problem studied, but also develop novel ways of investigating related research questions and open new research vistas. This GCR solicitation targets multidisciplinary teams who are embracing convergence research as a means of developing highly innovative solutions to complex research problems. GCR proposals are expected to be bold and address scientific or technical challenges and bottlenecks which if resolved have the potential to transform scientific understanding and solve vexing problems. Successful GCR projects are anticipated to lead to paradigm shifting approaches within disciplines, establishment of new scientific communities, or development of transformative technologies that have the potential for broad scientific or societal impact. The aim of GCR is to cultivate and grow the earliest foundations of convergent approaches for addressing a specific and compelling problem. As such, proposals submitted to this solicitation are expected to explore novel avenues not previously investigated that are at the forefront of advancing science through deep integration. Proposers must make a convincing case that the research to be conducted is within NSF’s purview, integrates across NSF directorate or division boundaries, and is currently not supported by other NSF programs or solicitations. The proposers must outline a five-year research plan delineated in two phases, Phase I: years 1-2, and Phase II: years 3-5.The total budget for Phase I may not exceed $1,200,000, and the total for Phase II may not exceed $2,400,000. Successful proposals will be funded initially for two years. Each team’s progress will be evaluated at a reverse site visit near the end of year 2; this will involve preparing a progress report and making a team presentation to a panel of reviewers/site visitors. Only teams that show exceptional progress according to the merit review and solicitation specific criteria during the first two years and that articulate plans for furthering advancements at the forefront of convergence research will be eligible for additional funding for up to three years pending availability of funds.

The Established Program to Stimulate Competitive Research is designed to fulfill the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. NSF EPSCoR facilitates the establishment of partnerships among academic institutions, government, industry, and non-profit sectors that are designed to promote sustainable improvements in a jurisdiction's research infrastructure, Research and Development (R&D) capacity, and R&D competitiveness of EPSCoR-eligible jurisdictions (i.e., states, territories, and commonwealths). Eligibility to participate in the EPSCoR funding opportunities, including the EPSCoR RII: EPSCoR Research Fellows program, is described on the NSF EPSCoR website . EPSCoR RII: EPSCoR Research Fellows directly aligns with the NSF EPSCoR strategic goal of establishing sustainable Science, Technology, Engineering, and Mathematics (STEM) professional development pathways that advance workforce development and effects engagement in STEM at national and global levels. EPSCoR RII: EPSCoR Research Fellows provides awards to build researchcapacityin institutions and transform the career trajectories of investigators and further develop their individual research potential through collaborations with investigators from the nation’s premier private, governmental, or academic research institutions and/or centers. The fellowship provides opportunities to establish strong collaborations through extended or periodic collaborative visits to a selected host site.Through collaborative research activities with the host site, Fellows will be able to learn new techniques, develop new collaborations, advance existing partnerships, benefit from access to unique equipment and facilities, and/or shift their research toward potentially transformative new directions. The experiences gained through the fellowships are intended to have lasting impacts that will enhance the Fellows’ research trajectories well beyond the award period. The benefits to the Fellows are also expected to improve the research capacity of their institutions and jurisdictions more broadly. EPSCoR Research Infrastructure Improvement (RII): EPSCoR Research Fellows offers the following two tracks: 1)EPSCoR Research Fellows: NSF; and 2) EPSCoR Research Fellows: @NASA While the two tracks have similar goals, EPSCoR Research Fellows: NSF is open to a broad community and EPSCoR Research Fellows: @NASA supports faculty from eligible institutions (See Section"IV. Eligibility Information" for more details) to collaborate with researchers at the National Aeronautics and Space Administration (NASA) research centers. PIs who are eligible for both tracks may apply for only one track per competition cycle. Proposals from both tracks are submitted to and merit reviewed by NSF. Awards in the EPSCoR Research Fellows: @NASA track are referred to NASA EPSCoR for distribution of additional NASA funds and other needed NASA coordination required for the award. In both tracks, the EPSCoR RII: EPSCoR Research Fellows program provides opportunities for the participation of one trainee, who must be an undergraduate or graduate student enrolled full-time in an accredited degree program, or a postdoctoral researcher from an EPSCoR jurisdiction. Staff members, such as technicians or lab assistants could be considered as trainees when properly justified.

The Innovations in Graduate Education (IGE) Program is designed to encourage development and implementation of bold, new, and potentially transformative approaches to STEM graduate education training. The program seeks proposals that a) explore ways forgraduate students in STEM master’s and doctoral degree programs to develop the skills, knowledge, and competencies needed to pursue a range of STEM careers, or b) support research on the graduate education system and outcomes of systemic interventions and policies. IGE projects are intendedto generate the knowledge required for the customization, implementation, and broader adoption of potentially transformative approaches to graduate education. The program supports piloting, testing, and validating novel models or activities and examining systemic innovations with high potential to enrich and extend the knowledge base on effective graduate education approaches. The program addresses both workforce development, emphasizing broad participation, and institutional capacity-building needs in graduate education. Strategic collaborations with the private sector, non-governmental organizations (NGOs), government agencies, national laboratories, field stations, teaching and learning centers, informal science organizations, and academic partners are encouraged.

Developmental Sciences supports basic research that increases our understanding of perceptual, cognitive, linguistic, social, cultural, and biological processes related to human development across the lifespan. Research supported by this program will add to our knowledge of the underlying developmental processes that support social, cognitive, and behavioral functioning, thereby illuminating ways for individuals to live productive lives as members of society. The Developmental Sciences program supports research that addresses developmental processes within the domains of perceptual, cognitive, social, emotional, language, and motor development across the lifespan by working with any appropriate populations for the topics of interest including infants, children, adolescents, adults (including aging populations), and non-human animals. The program also supports research investigating factors that affect developmental change, including family, peers, school, community, culture, media, physical, genetic, and epigenetic influences. The program funds research that incorporates multidisciplinary, multi-method, and/or longitudinal approaches; develops new methods, models, and theories for studying development; and integrates different processes (e.g., memory, emotion, perception, cognition), levels of analysis (e.g., behavioral, social, neural) and time scales. The program funds basic research that advances our understanding of developmental processes and mechanisms; the program does not fund clinical trials and research focused primarily on health outcomes. The budgets and durations of supported projects vary widely and are greatly influenced by the nature of the project. Investigators should focus on innovative, potentially transformative research plans and then develop a budget to support those activities, rather than starting with a budget number and working up to that value. While there are no specific rules about budget limitations, a typical project funded through the Developmental Sciences program is approximately three years in duration with a total cost budget, including both direct and indirect costs, between $100,000 and $200,000 per year. Interested proposers are urged to explore the NSF awards database for the Developmental Sciences program to review examples of awards that have been made. Proposals that contain budgets significantly beyond this range may be returned without review. The Developmental Sciences program also considers proposals for workshops and small conferences on a case-by-case basis. These typically have total cost budgets, including direct and indirect costs, of approximately $35,000. Conference proposals may only be submitted following an invitation from the Program Directors. In addition to consulting the NSF awards database, it is often useful for interested proposers to submit (via email) a summary of no more than one page so that a program director can advise the investigator on the fit of the project for DS before the preparation of a full proposal. New investigators are encouraged to solicit assistance in the preparation of their project proposals via consultation with senior researchers in their area, pre-submission review by colleagues, and attendance at symposia and events at professional conferences geared towards educating investigators seeking federal funding. The Developmental Sciences Program is always interested in identifying new reviewers. Potential reviewers should have a Ph.D. in psychology or a related field and have a demonstrated area of expertise relevant to developmental science. Individuals interested in reviewing for the program should complete an expression of interest form . SBE/BCS welcomes the submission of proposals to this funding opportunity that include the participation of the full spectrum of diverse talent in STEM, e.g., as PI, co-PI, senior/key personnel, postdoctoral scholars, graduate or undergraduate students, or trainees. This includes historically under-represented or underserved populations, diverse institutions including Minority Serving Institutions (MSIs), Primarily Undergraduate Institutions (PUIs), and two-year colleges, as well as major research institutions. Proposals from EPSCoR jurisdictions are especially encouraged.

Revolutionizing Engineering Departments (hereinafter referred to as RED) is designed to build upon previous efforts in engineering education research. Specifically, previous and ongoing evaluations of the NSF Engineering Education and Centers Division program and its predecessors, as well as those related programs in the Directorate for STEM Education, have shown that prior investments have significantly improved the first year of engineering students’ experiences, incorporating engineering material, active learning approaches, design instruction, and a broad introduction to professional skills and a sense of professional practice – giving students an idea of what it means to become an engineer. Similarly, the senior year has seen notable change through capstone design experiences, which ask students to synthesize the technical knowledge, skills, and abilities they have gained with professional capacities, using reflective judgment to make decisions and communicate these effectively. However, this ideal of the senior year has not yet been fully realized, because many of the competencies required in capstone design, or required of professional engineers, are only partially introduced in the first year and not carried forward with significant emphasis through the sophomore and junior years. The Directorates for Engineering (ENG) and STEM Education (EDU) are funding projects as part of the RED program, in alignment with the Improving Undergraduate STEM Education (IUSE) framework and Professional Formation of Engineers (PFE) initiative. These projects are designing revolutionary new approaches to engineering education, ranging from changing the canon of engineering to fundamentally altering the way courses are structured to creating new departmental structures and educational collaborations with industry. A common thread across these projects is a focus on organizational and cultural change within the departments, involving students, faculty, staff, and industry in rethinking what it means to provide an engineering program. In order to continue to catalyze revolutionary approaches, while expanding the reach of those that have proved efficacious in particular contexts, the RED program supports four tracks: RED Planning (Track 1), RED Adaptation and Implementation (Track 2), RED Innovation (Track 3), and RED Innovation Partnerships (Track 4). Two- and four-year institutions are encouraged to submit to any track as appropriate for their goals and context. RED Planning (Track 1) projects will support capacity-building activities at institutions of special interest to NSF’s mission, including two-year engineering-centered programs building transfer partnerships, two-year or four-year institutions in EPSCoR jurisdictions, Primarily Undergraduate Institutions (PUIs), and Institutions of Higher Education (IHEs)in order to create more opportunities in engineering for students in every part of the country. Planning projects should provide the support for such institutions to explore the development of a RED Projects in Tracks 2, 3, & 4. RED Adaptation and Implementation (Track 2) projects will adapt and implement evidence-based organizational change strategies and actions to the local context, which helps propagate this transformation of undergraduate engineering education. RED Innovation (Track 3) projects will develop new, revolutionary approaches and change strategies that enable the transformation of undergraduate engineering education. RED Innovation Partnerships (Track 4) projects will achieve the same goals as Track 3 projects across multiple institutions. Of particular interest to this track are projects partnering two-year institutions with other eligible institutions. Projects in tracks 2, 3, & 4 will include consideration of the cultural, organizational, structural, and pedagogical changes needed to transform one or more departments to ones in which students are engaged, develop their technical and professional skills, and establish identities as professional engineers or technologists. The focus of projects in these tracks should be on the department’s disciplinary courses and program. RED project initiatives are expected to be institutionalized at the end of the funding period. Proposals are especially encouraged that address areas of increased national interest including but not limited to advanced manufacturing, advanced wireless, artificial intelligence, biotechnology, microelectronics and semiconductors, net zero technologies, sustainability, systems engineering, and quantum engineering.

The Established Program to Stimulate Competitive Research (EPSCoR) is designed to fulfill the mandate of the National Science Foundation (NSF) to promote scientific progress nationwide. EPSCoR eligibility status is yearly updated and reported in the EPSCoR website (see EPSCoR eligibility). Through this program, NSF establishes partnerships with government, higher education, and industry that are designed to affect sustainable improvements in a jurisdiction's research infrastructure, Research and Development (R&D) capacity, and hence, its R&D competitiveness. The FEC program (formerly known as “EPSCoR Track-2 program”) builds interjurisdictional collaborative teams of EPSCoR investigators in Science, Technology, Engineering, and Mathematics (STEM) focus areas consistent with the current National Science Foundation Strategic Plan . Projects are investigator-driven and must include researchers from at least two EPSCoR eligible jurisdictions with complementary expertise and resources necessary to address challenges, which neither party could address as well or as rapidly independently. FEC projects have a comprehensive and integrated vision to drive discovery and build sustainable STEM capacity that exemplifies institutional, geographic, and disciplinary diversity. The projects’ STEM research and education activities seek to broaden participation through the strategic inclusion and integration of all individuals, institutions, and sectors. Additionally, EPSCoR recognizes that the development of early-career faculty is critical to sustaining and advancing research capacity.

With a focus on two-year Institutions of Higher Education (IHEs), the Advanced Technological Education (ATE) program supports the education of technicians for the high-technology fields that drive our nation's economy. The program involves partnerships between academic institutions (grades 7-12, IHEs), industry, and economic development agencies to promote improvement in the education of science and engineering technicians. It is strongly recommended that projects be faculty-led and required that courses and programs are credit-bearing, although materials developed may also be used for incumbent worker education. Materials may also be adapted and implemented as credit-bearing courses. The ATE program supports curriculum development; professional development of college faculty and secondary school teachers; career pathway development for both students and incumbent workers; and other activities including applied research projects that advance the knowledge base related to technician education. The ATE program encourages partnerships with other entities that may impact technician education. For example, with the National Institute of Standards and Technology (NIST) Manufacturing Extension Partnerships (MEPs) ( http://www.nist.gov/mep/index.cfm ) as applicable to support technician education programs and the industries they serve; and Manufacturing USA Institutes( https://manufacturing.gov/ ) addressing workforce development issues. The ATE program encourages proposals from Minority Serving Institutions as well as other institutions that support the recruitment, retention, and completion (certificate, degree, program)of the full spectrum of diverse talent that society has to offer, which includes underrepresented and underserved communities, in STEM technician education programs that award associate degrees.

The National Quantum Initiative (NQI) Act 1 aims to ensure the continuing leadership of the United States (U.S.) in quantum information science and technology. In conformance with the NQI goals, an argument 2-5 was set forth for a renewed emphasis on identifying and fostering early adoption of quantum technologies to transform the field of Quantum Information Science and Engineering (QISE) and to accelerate broader impacts on society. A systematic approach to maturing quantum technology platforms by integrating end-users and potential customers from other fields of science and engineering and other sectors of the economy into cycles of research, development, and demonstration should lower the barriers for end-users to pioneer new applications. NSF support for use-inspired and translational research in QISE, combined with continued strong support of the underlying foundational research, is anticipated to accelerate development of a market for quantum technologies. With this program solicitation, the Foundation is taking the next step in implementing the National Quantum Virtual Laboratory (NQVL) concept as an overarching shared infrastructure designed to facilitate the translation from basic science and engineering to the resultant technology, while at the same time emphasizing and advancing its scientific and technical value. The NQVL aims to develop and utilize use-inspired and application-oriented quantum technologies. In the process, NQVL researchers will explore quantum frontiers 6 , foster the development of QISE education and workforce development strategies, engage in outreach activities at all levels, and promote input and participation from the full spectrum of talent in QISE, thereby lowering barriers at all entry points of the research enterprise. Engagement with all sectors of the United States (U.S.) QISE community will be necessary for this initiative to succeed, and, indeed, the project is designed to include participation from a full spectrum of organizations who have expertise to contribute. In particular, NSF recognizes that the involvement of industry partners is essential and will welcome these to be a part of the overall structure. Partnerships with other U.S. Federal agencies under the NQI umbrella are also encouraged. While this solicitation lays out the vision for the entire NQVL program that includes Quantum Science and Technology Demonstration (QSTD) projects, support for enabling technologies through Transformative Advances in Quantum Systems (TAQS), as well as a central coordination hub, only proposals for Design- and Implementation-phase QSTDs are solicited at this time. Submission of a QSTD:Design proposal is contingent upon the existence of a QSTD:Pilot project in the same topical area, and the positive recommendation from the Conceptual Design Review of the QSTD:Pilot project. The QSTD:Design project builds on progress made in the QSTD:Pilot phase. Submission of a QSTD:Implementation proposal is contingent upon the existence of a QSTD:Design project in the same topical area, and the positive recommendation from the Preliminary Design Review of the QSTD:Design project. The QSTD:Implementation project builds on progress made in the QSTD:Design phase. It is required that prospective PIs contact the NQVL Program Officer(s) as soon as possible, but not later than two weeks before submitting a proposal in response to this solicitation, to ascertain that the focus and budget of their proposal is appropriate for this solicitation. H.R.6227 - National Quantum Initiative Act, https://www.congress.gov/bill/115th-congress/house-bill/6227 Accelerating Progress Towards Practical Quantum Advantage, A National Science Foundation Project Scoping Workshop (2022), https://arxiv.org/abs/2210.14757 Quantum Computer Systems for Scientific Discovery, PRX Quantum 2, 017001 (2021) https://doi.org/10.1103/PRXQuantum.2.017001 Development of Quantum InterConnects for Next-Generation Information Technologies, PRX Quantum 2, 017002 (2021) https://doi.org/10.1103/PRXQuantum.2.017002 Quantum Simulators: Architectures and Opportunities, PRX Quantum 2, 017003 (2021) https://doi.org/10.1103/PRXQuantum.2.017003 Quantum Frontiers: Report on Community Input to the Nation's Strategy for Quantum Information Science, https://www.quantum.gov/wp-content/uploads/2020/10/QuantumFrontiers.pdf

The National Center for Science and Engineering Statistics (NCSES) of the National Science Foundation (NSF) is one of the thirteen principal federal statistical agencies within the United States. It is responsible for the collection, acquisition, analysis, reporting and dissemination of objective, statistical data related to the science and technology (S&T) enterprise in the United States and other nations that is relevant and useful to practitioners, researchers, policymakers and the public. NCSES uses this information to prepare a number of statistical data reports including Women, Minorities and Persons with Disabilities in Science and Engineering and the National Science Board's biennial report, Science and Engineering (S&E) Indicators. The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys as well as promote the education and training of researchers in the use of large-scale nationally representative datasets. NCSES welcomes efforts by the research community to use NCSES or other data to conduct research on the S&T enterprise, develop improved survey methodologies that could benefit NCSES surveys, explore alternate data sources that could supplement NCSES data, create and improve indicators of S&T activities and resources, strengthen methodologies to analyze S&T statistical data, and explore innovative ways to communicate S&T statistics. To that end, NCSES invites proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, experimental research, survey research and data collection, and dissemination projects under its program for Research on the Science and Technology Enterprise: Indicators, Statistics, and Methods (NCSES S&T).

The NSF EPSCoR Graduate Fellowship Program (EGFP) provides an opportunity for applicants who received the distinction of GRFP Honorable Mention no more than three years before the proposal due date to be named NSF EPSCoR Graduate Fellows and obtain financial support for their graduate education at an institution in an EPSCoR jurisdiction. EGFP aims to enhance the capacity and competitiveness of EPSCoR jurisdictions by providing funding to graduate degree-awarding institutions to support NSF EPSCoR Graduate Fellows as they pursue graduate degrees in the disciplines specified by the NSF Directorates and Office that are participating in the EGFP funding program. Fellows may pursue degrees in field that differ from the field or sub-field of study that the GRFP Honorable Mention recipients previously listed in their GRFP application. EGFP awards will be made to institutions in EPSCoR jurisdictions. Awards will provide three years of stipend and associated cost-of-education allowance for each NSF EPSCoR Graduate Fellow. Stipends must be budgeted at the level of $37,000 per year per Fellow and cost-of-education allowances must be budgeted at the level of $16,000 per year per Fellow. A total of three years of support must be budgeted per Fellow. Each Fellow must be given up to five years to utilize the support. Awardees will administer the awards such that the Fellows receive the full stipend amount and the institution retains the full cost-of-education allowance during the three years that each Fellow receives support. All submissions must request support for a minimum of three Fellows.

NSF-supported science and engineering research increasingly relies on cutting-edge infrastructure. With its Major Research Instrumentation (MRI) program and Major Multi-user Facilities ("Major Facilities") projects, NSF supports infrastructure projects at the lower and higher range of infrastructure project costs, Foundation-wide, across science and engineering research disciplines. The Foundation-wide Mid-scale Research Infrastructure opportunity is intended to provide NSF with an agile, Foundation-wide process to fund experimental research capabilities in the mid-scale range between MRI and Major Multi-user Facilities. NSF defines Research Infrastructure (RI) as any combination of facilities, equipment, instrumentation, or computational hardware or software, and the necessary human capital in support of the same. Major facilities and mid-scale projects are subsets of research infrastructure. The NSF Mid-scale Research Infrastructure-1 Program (Mid-scale RI-1) supports either design activities or implementation of unique and compelling RI projects. Mid-scale implementation projects may include any combination of equipment, instrumentation, cyberinfrastructure, broadly used large scale datasets and the personnel needed to successfully commission the project. Mid-scale RI-1 design activities include the design efforts intended to lead to eventual implementation of a mid-scale class RI project. Mid-scale RI-1 projects should involve the training of a diverse workforce engaged in the design and implementation of STEM research infrastructure. Mid-scale RI-1 projects should directly enable advances in any of the research domains supported by NSF. Projects may also include upgrades to existing research infrastructure. Mid-scale RI-1 emphasizes strong scientific merit, a response to an identified need of the research community and/or fulfillment of a national need to enable U.S. researchers to be competitive in a global research environment. Well-conceived technical and management plans are essential for both design and implementation proposals, as are well-developed plans (e.g., mentoring and professional development) for student training and the involvement of a diverse STEM workforce in all aspects of mid-scale design and/or implementation activities. The inclusion of individual project participants that will lead to a supportive working environment is especially encouraged at all levels of the project team. Within Mid-scale RI-1, proposers may submit two types of projects, “Implementation” (e.g., acquisition and/or construction) or “Design”. The “Design” track is intended to facilitate progress toward readiness for a mid-scale range implementation project. Both Implementation projects and Design activities may involve new or upgraded research infrastructure. Mid-scale RI-1 "Implementation" projects may have a total project cost ranging from $4 million up to but not including $20 million. Mid-scale RI-1 "Design" activities may request less than $4 million, with a minimum request of $400,000 and a maximum request up to but not including $20 million, as appropriate, to prepare for a future mid-scale range implementation project. Note: Successful award of a Mid-scale RI-1 design activity does not imply NSF's commitment to the future implementation of the project being designed, nor is a Mid-scale RI-1 design award required for the submission of an implementation project. The Mid-scale RI-1 Program seeks to broaden the representation of PIs and institutions in its award portfolio, including a geographically diverse set of institutions (especially those in EPSCoR jurisdictions). Proposals submitted by, or involving partnerships between institutions are encouraged. Participation in this opportunity is encouraged for the full spectrum of diverse talent society has to offer to include PIs who are women, early-career researchers, persons with disabilities, or members of other groups underrepresented in STEM. To improve participation in science and engineering research for persons with disabilities, Mid-scale RI-1 encourages PIs to incorporate accessibility as part of Mid-scale RI-1 design activity and implementation projects. Please consult NSF's Research Infrastructure Guide, or RIG (available at https://www.nsf.gov/bfa/lfo/lfo_documents.jsp ), for definitions of certain terms used in this solicitation, such as the Project Execution Plan (PEP) and Design and Execution Plan (DEP). The RIG provides guidance specific to Mid-scale Research Infrastructure Projects, including references to other parts of the RIG as needed. Note that PEP or DEP should be appropriately scaled for the complexity of the project and may not require all of the elements described in the RIG. Mid-scale research infrastructure projects with total project costs beyond the Mid-scale RI-1 Program limit are separately solicited through the Mid-scale RI-2 Program. Proposals to the Mid-scale RI-1 Program with total project costs outside of this solicitation's budgetary limits, either during initial submission or after cost analyses/revisions during subsequent review, are subject to return without further review.

The primary objective of the Cultural Anthropology Program is to support fundamental, systematic anthropological research and training to increase understanding of the causes, consequences and complexities of human social and cultural variability. The Cultural Anthropology Program welcomes proposals from researchers in all sub-fields of cultural anthropology and research at any temporal or spatial scale. Methodologies and approaches employed may include ethnographic field research, surveys, remote sensing, the collection of bio-markers, experimental research inside or outside of laboratory settings, archival research, the analysis of materials collections and extant data bases, mathematical and computational modeling and other research tools as appropriate for the proposed research. The overarching research goals should be to produce empirically grounded findings that will be generalizable beyond particular case studies and contribute to building a more robust anthropological science of human society and culture. The U.S. National Science Foundation's mandate is to support basic scientific research. Basic research in cultural anthropology means theory-generating and theory-testing research that creates new knowledge about human culture and society. Therefore, the Cultural Anthropology Program cannot support research that takes as its primary objective improved clinical practice, applied policy or other immediate application. Research that seeks to advance scientific cultural anthropological theories in a way that advances use-inspired objectives may be supported, but the theory-advancing objectives must be clearly at the center of the proposal. A proposal to use anthropological methods and approaches only to find solutions to social, medical or other problems without specifically proposing to make a theory-testing or theory-expanding contribution to anthropological science will be returned without review.

The objective of the Human-Environment and Geographical Sciences Program is to support basic scientific research about the nature, causes, consequences, or evolution of the spatial dimensions of human behaviors, activities, and dynamics as well as their interactions with environmental and social processes across a range of scales. Contemporary geographical research encompasses diverse research traditions and methodologies. Recognizing the breadth of the field’s contributions to science, the HEGS Program welcomes proposals for empirically grounded, theoretically engaged, methodologically rigorous, and generalizable research that advances geographical and geospatial sciences. Because the National Science Foundation's mandate is to support fundamental scientific research, the HEGS program cannot fund research that takes as its primary goal humanistic interpretations or findings that are not generalizable or reproducible. HEGS welcomes proposals that utilize quantitative, qualitative, or mixed methods in novel ways. However, a proposal that applies geographical or geospatial methods to a geographic problem without proposing how that problem provides an opportunity to make a theory-testing or theory-expanding contribution to geographical science, broadly defined, will be returned without review. HEGS supported projects are expected to yield results that will enhance, expand, and transform fundamental geographical theory and geospatial methods and that will have broader impacts that benefit society. Generally, successful HEGS proposals should describe clear and detailed plans for data collection (including sample selection if appropriate), justification for proposed methods, plans for data analysis, attention to confounding variables, and efforts to address biases (e.g., confirmatory biases, selection biases, etc.). Competitive HEGS proposals should substantiate the validity of findings and generalizability to broader contexts. It should be noted that HEGS is situated in the Behavioral and Cognitive Sciences Division of the Social, Behavioral and Economic Sciences Directorate at NSF. Therefore, it is critical that research projects submitted to the HEGS program illustrate how the proposed research questions engage human dimensions that are relevant and important to people and societies. A proposal that fails to be responsive to these program expectations will be returned without review.

The main goal of the S-STEM program is to enable academically talented, low-income students to pursue successful careers in promising STEM fields. Ultimately, the S-STEM program seeks to increase the number of academically promising low-income students who graduate with an S-STEM eligible degree and contribute to the American innovation economy with their STEM knowledge. Recognizing that financial aid alone cannot increase retention and graduation in STEM, the program provides awards to institutions of higher education (IHEs) not only to fund scholarships, but also to adapt, implement, and study evidence-based curricular and co-curricular [a] activities that have been shown to be effective in supporting recruitment, retention, transfer (if appropriate), student success, academic/career pathways, and graduation in STEM. To be eligible, scholars must be domestic low-income students with academic ability, talent, or potential and demonstrated unmet financial need who are enrolled in an associate, baccalaureate, or graduate degree program in an S-STEM eligible discipline. Proposers must provide an analysis that articulates the characteristics and academic needs of the population of students they are trying to serve. NSF is particularly interested in supporting the attainment of degrees in fields identified as critical needs for the Nation. It is up to the proposer to make a compelling case that such a field serves a critical need in the United States. [a] an activity at a school or college pursued in addition to the normal course of study. S-STEM Eligible Degree Programs Associate of Arts, Associate of Science, Associate of Engineering, and Associate of Applied Science Bachelor of Arts, Bachelor of Science, Bachelor of Engineering and Bachelor of Applied Science Master of Arts, Master of Science, and Master of Engineering Doctoral (Ph.D. or other comparable doctoral degree) S-STEM Eligible Disciplines Disciplinary fields in which research is funded by NSF, including technology fields associated with the S-STEM-eligible disciplines (e.g., biotechnology, chemical technology, engineering technology, information technology, etc.). The following degrees and disciplines areexcluded: Clinical degree programs, including medical degrees, nursing, veterinary medicine, pharmacy, physical therapy, and others not funded by NSF, are ineligible degrees. Programs for STEM teacher certification or licensure currently covered by the Robert Noyce Teacher Scholarship program (NOYCE) are ineligible for S-STEM funding. Business school programs that lead to Bachelor of Arts or Science in Business Administration degrees (BABA/BSBA/BBA) are not eligible for S-STEM funding. Masters and Doctoral degrees in Business Administration are also excluded. Proposers are strongly encouraged to contact Program Officers before submitting a proposal if they have questions concerning degree or disciplinary eligibility. The S-STEM program particularly encourages proposals from 2-year institutions, predominately undergraduate institutions, and urban, suburban, and rural public institutions.

Our world is at a pivotal moment where the boundaries dividing the physical and social worlds from the cyber world have become blurred. Cyberspace has evolved from an interconnected digital environment into a complex and interdependent cyber ecosystem that involves hardware, software, networks, data, people, organizations, countries, and the physical world. Critical functions of everyday life are deeply intertwined with computing, including health, government, commerce, the public sphere, education, critical infrastructure, interpersonal communication, and transportation. The complexity and inter-dependencies in cyberspace can be misused and exploited by malicious actors. These in turn can trigger adverse outcomes such as disruption of critical infrastructure and systems; theft of intellectual property and sensitive data; amplification of inequalities; disclosure of private information of individuals, organizations, and governments; and threats to lives, livelihoods, and reputations. Furthermore, constant attacks on the data and assets of corporations, governments, and individuals undermine people’s trust in decision-making and processes that depend critically on these cyber systems. The Security, Privacy, and Trust in Cyberspace (SaTC 2.0) program aims to build trust in global cyber ecosystems. Trust is the core tenet of this program and, for the purposes of this solicitation, is broadly defined to include our confidence in the security, privacy, and resilience of cyberspace, particularly in the face of malicious intent. Achieving this level of confidence in cyberspace requires not only understanding the vulnerabilities in a system that could be exploited and how they can be addressed, but also understanding the social and technical dimensions of trust in cyber systems, along with the educational efforts needed to increase public awareness of risks in cyberspace, and building a well-trained corps of privacy and security professionals. SaTC 2.0 spans the interests of NSF's Directorates for Computer and Information Science and Engineering (CISE), Mathematical and Physical Sciences (MPS), Social, Behavioral and Economic Sciences (SBE), and STEM Education (EDU). Proposals must be submitted pursuant to one of the following designations, each of which may have additional requirements: RES: The Research (RES) designation is the focus of the multidisciplinary SaTC 2.0 research program. RES projects are limited to $1,200,000 in total budget, with durations of up to four years. Proposals with a total budget of more than $600,000 have additional requirements including Broadening Participation in Computing and collaboration plans. RES proposals may include an optional Transition to Education (TTE) plan with a budget up to $50,000 (within the RES total budget request) to co-evolve novel educational initiatives in the context of the proposed research. EDU: The Education (EDU) designation is used to identify proposals focusing on education and workforce training in building trust in security, privacy, and resilience of cyberspace. EDU proposals are limited to $500,000 in total budget, with durations of up to three years. EDU proposals that primarily focus on education research with demonstrated collaboration, as reflected in the PI team between cybersecurity subject matter experts and education researcher(s), may request an additional $100,000 beyond the $500,000 limit. SEED: The Seedling (SEED) category is intended for special topics defined by accompanying Dear Colleague Letters. SEED projects are limited to $300,000 in total budget, with durations of up to two years.

The Established Program to Stimulate Competitive Research (EPSCoR) supports the mission of the U.S. National Science Foundation (NSF) by promoting nationwide scientific progress. Through this program, NSF fosters partnerships among academic institutions, government entities, industry, and non-profits. These collaborations aim to drive long-term improvements in research infrastructure, enhance R&D capacity, and boost the research competitiveness of eligible EPSCoR jurisdictions, including states, territories, and commonwealths. A jurisdiction’s research ecosystem is the interconnected network of institutions, organizations, researchers, trainees, community stakeholders, and resources that contribute to the process of research and innovation that advances fundamental knowledge, generates use-inspired products, and ultimately cultivates beneficial societal impacts for a jurisdiction. E-RISE supports hypothesis-driven or problem-driven research and fosters the development of research teams and products in a scientific topical area that aligns with a jurisdiction’s research ecosystem and priorities, as detailed in the jurisdiction’s Science and Technology (S&T) Plan or drawn from other jurisdiction plans, reports, or publications prepared by appropriate authorities or bodies.E-RISE invitesinnovativeproposalswithin the chosen research area thatwillleadto development and implementation of sustainable broad networks of individuals, institutions, and organizations, and that will transform the science, technology, engineering and mathematics (STEM) research capacity and competitiveness in a jurisdiction. E-RISE is particularly interested in proposals that justify exploring emerging or interdisciplinary research areas with high potential impact. E-RISE projects must have a clearly articulated research goal that will lead to new knowledge by addressing a clear hypothesis or problem. The E-RISE projectshould promote (i) areas of research capacity-building within a chosen research topic; (ii) development of a skilled workforce that is relevant to the research topic, as well as the project and its outcomes; (iii) a culture of collaboration and engagement across different types of academic institutions and organizations, as well as non-academic sectors (e.g., industry and government); (iv) integration of the research with societal impacts; and (v) a clear sustainability plan to preserve the resulting research incubator's team and products beyond E-RISE funding.

The Established Program to Stimulate Competitive Research (EPSCoR) supports the U.S. National Science Foundation (NSF) mission by promoting nationwide scientific progress. Through this program, NSF fosters partnerships among academic institutions, government entities, industry, and non-profits. These collaborations aim to drive long-term improvements in research infrastructure, enhance R&D capacity, and boost the research competitiveness of eligible EPSCoR jurisdictions, including states, territories, and commonwealths. A jurisdiction’s research ecosystem is the interconnected network of organizations, researchers, trainees, community stakeholders, and resources that contribute to the process of research and innovation that advances fundamental knowledge, generates use-inspired products, and ultimately cultivates beneficial impacts for a jurisdiction. E-CORE supports jurisdictions in building significant and sustainable research capacity and research infrastructure for targeted areas of focus, hereinafter referred to as “cores,” that underlie a jurisdiction's research ecosystem. Based on the evidence-based and self-identified needs of a jurisdiction, the types of cores supported by E-CORE may include (but are not limited to) development, enhancement, and/or ensuring the sustainability of: research administration; research facilities and infrastructure (including cyberinfrastructure); STEM education (K-12) pathways; higher education pathways; early career investigator pathways; broadening participation; workforce development; national and global partnerships; community engagement and outreach; technology transfer; economic development; and use-inspired research pathways. E-CORE projects must be designed to support the sustainability of the research infrastructure cores beyond the award period. Projects will also support the development and growth of new jurisdiction-wide connections, and the leveraging of existing jurisdiction-wide connections, to drive substantive and sustainable impacts.

Through this solicitation, the Antarctic Sciences Section (ANT) of the Office of Polar Programs (OPP) funds cutting-edge research that: Improves understanding of interactions among the Antarctic region and global systems. Improves understanding of the dynamic linkages among processes operating in the Antarctic and Southern Ocean and linkages to global Earth systems, which helps inform decision making regarding environmental change. Advances fundamental understanding of Earth systems and the biological, geochemical, and physical processes in the Antarctic and Southern Ocean as drivers and responders to changes on a global scale. Expands fundamental knowledge of Antarctic systems, biota, and processes. Utilizes the unique characteristics of the Antarctic region as a science observing platform. Builds capacity and enhances the US workforce for polar-related science. ANT encourages and supports research that combines disciplinary perspectives and approaches from other fields, research that uses existing data and samples, and other research not requiring a physical presence in Antarctica.This may include projects conducted at locations outside Antarctica that serve as analogues of Antarctic sites or systems. This solicitation does not support projects that would need logistical support from the U.S. Antarctic Program (USAP).Proposers requiring USAP logistical support should consult the Antarctic Sciences web page for current opportunities. Proposers of projects with logistics needs that would be wholly provided by another Antarctic program or organization should contact an ANT Program Officer for guidance.

Through this solicitation, the Antarctic Sciences Section (ANT) of the Office of Polar Programs (OPP) funds cutting-edge research that requires logistical support from the U.S. Antarctic Program (USAP)and: Improves understanding of interactions among the Antarctic region and global systems. Improves understanding of the dynamic linkages among processes operating in the Antarctic and Southern Ocean and linkages to global Earth systems, which helps inform decision making regarding environmental change. Advances fundamental understanding of Earth systems and the biological, geochemical, and physical processes in the Antarctic and Southern Ocean as drivers and responders to changes on a global scale. Expands fundamental knowledge of Antarctic systems, biota, and processes. Utilizes the unique characteristics of the Antarctic region as a science observing platform. Builds capacity and enhances the US workforce for polar-related science. Antarctic fieldwork is supported only for research that must be performed, or is best performed, in Antarctica.Proposers that do NOTrequire USAP logistical support should consult the Antarctic Sciences web page for current opportunities. NSF is currently undertaking a planned multiyear program of essential maintenance and upgrade projects, with the goal of ensuring that researchers continue to have access to world-leading Antarctic facilities. The need to support this important work necessarily places some limitations on the logistical support that can currently be provided for new projects. Proposers should comply with the guidance set out below in the Program Description regarding the USAP logistical support that is available. No other USAP resources may be requested.

The objective of the Cybersecurity Innovation for Cyberinfrastructure (CICI) program is to advance scientific discovery and innovation by enhancing the security and privacy of cyberinfrastructure. CICI supports efforts to develop, deploy and integrate cybersecurity that will benefit the broader scientific community by securing science data, computation, collaborations workflows, and infrastructure. CICI recognizes the unique nature of modern, complex, data-driven, distributed, rapid, and collaborative science and the breadth of infrastructure and requirements across scientific disciplines, practitioners, researchers, and projects. CICI seeks proposals in four program areas: 1. Usable and Collaborative Security for Science (UCSS): Projects in this program area should support novel and/or applied security and usability research that facilitates scientific collaboration, encourages the adoption of security into the scientific workflow, and helps create a holistic, integrated security environment that spans the entire scientific cyberinfrastructure ecosystem. 2. Reference Scientific Security Datasets (RSSD): Projects in this program area should leverage instrumented cyberinfrastructure to capture metadata from scientific workflows and workloads as reference data artifacts that can help support reproducible security research, testing and evaluation. 3. Transition to Cyberinfrastructure Resilience (TCR): Projects in this program area should improve the robustness, trustworthiness, integrity, and/or resilience of scientific cyberinfrastructure through testing, evaluation, hardening, validation, and technology transition of novel cybersecurity research. The TCR area further encourages transition activities that advance the deployment and use of reproducibility in CI, workflows, and data. 4. Integrity, Provenance, and Authenticity for Artificial Intelligence Ready Data (IPAAI): Projects in this program area should enhance confidence and reproducibility in AI produced scientific results by improving the integrity, provenance, and authenticity of scientific datasets used by Artificial Intelligence systems.

The FAIROS Program seeks to support a broad range of transformative open science activities including but not limited to i.) Research, education, and socio-technical cyberinfrastructure development capacities that advance sustainable multi-disciplinary findable, accessible, interoperable, reusable (FAIR) research data management (RDM) and open science capabilities, ii.) Piloting new models of scientific communication and publication that improve efficiency and accessibility, iii.) Developing FAIROS data portals, research data commons, RDM as a national service, and iv.) Lowering barriers to accessing, curating, integrating, linking, managing, sharing, and storing data across many disciplinary domains, irrespective of data size. The program supports innovation across the cyberinfrastructure (CI) ecosystem to address accessibility, data curation, research data management, discoverability, reliability, reproducibility, preservation, sustainability, and utility of research products, including data software, and code, developed as part of funded projects. FAIROS proposals must select one of two tracks to focus on, either: 1) Disciplinary Improvements to targeted scientific communities, or 2) Cross-Cutting Improvements that apply to many or most scientific disciplines. In the case of proposals focused on Disciplinary Improvements, it is strongly recommended that prospective PIs contact a program officer from the list of Cognizant Program Officers in the directorate closest to the major disciplinary impact of the proposed work to ascertain that the scientific focus and budget of the proposed work are appropriate for this solicitation. In the case of proposals focused on Cross-Cutting Improvements, it is strongly recommended that prospective PIs contact the cognizant program officer from the Office of Advanced Cyberinfrastructure (OAC). After selecting either Disciplinary Improvements or Cross-Cutting Improvements in which to focus research, the proposal must include the kinds of activities relevant to the selected track. Standard research proposals are the only type of proposal accepted in response to this solicitation. The FAIROS Program is undertaken in support of the US NSF Public Access Initiative. For more information on the US NSF Public Access Initiative please visit https://new.nsf.gov/public-access .

The Research in Undergraduate Institutions (RUI) and Research Opportunity Awards (ROA) funding opportunities support research by faculty members at predominantly undergraduate institutions (PUIs). RUI proposals support PUI faculty in research that engages them in their professional field(s), builds capacity for research at their home institution, and supports the integration of research and undergraduate education. ROAs similarly support PUI faculty research, but these awards typically allow faculty to work as visiting scientists at research-intensive organizations where they collaborate with other NSF-supported investigators. Eligible PUIs are accredited colleges and universities (including two-year community colleges) that award Associate's degrees, Bachelor's degrees, and/or Master's degrees in NSF-supported fields, but have awarded 20 or fewer Ph.D./D.Sci. degrees in all NSF-supported fields during the combined previous two academic years. All NSF directorates may support RUI and ROA funding activities. Funding for these awards is contained within research and education program allocations and not held as a separate allocation. RUI and ROA proposals are evaluated and funded by NSF programs in the disciplinary areas of the proposed research and are funded at their discretion. Prospective PIs should contact disciplinary program officers to identify specific NSF programs and to determine the feasibility and timing of RUI/ROA requests. General RUI/ROA points of contact are available through the website http://www.nsf.gov/crssprgm/rui_roa/contacts.jsp . 1. Research in Undergraduate Institutions (RUI). An RUI proposal may be: A request to support an individual research project or a collaborative research project involving PUI faculty and students at their own or other institutions. A request involving shared research instrumentation. 2. Research Opportunity Awards (ROA). The types of ROA opportunities include: A supplement to an existing NSF award to support ROA activities for PUI faculty. Requests to rebudget funds in an existing NSF award to support ROA activities for PUI faculty. Submission of a new collaborative proposal between a PUI and another institution(s), with a ROA component as a subaward or as part of a linked collaborative proposal.

The Applied Mathematics program supports mathematics research motivated by and contributing to the solution of problems arising in science and engineering. Successful proposals must demonstrate mathematical innovation, as well as breadth and quality of impact on applications. Projects that additionally provide opportunities for rigorous mathematical training of junior applied mathematicians through their involvement in research are encouraged. The proposals considered by the Applied Mathematics program may range from single investigator to interdisciplinary team projects. Conferences Proposals to the Applied Mathematics program for conferences or workshops should be submitted through the program solicitation "Conferences and Workshops in the Mathematical Sciences" (link below). Principal Investigators should carefully read the program solicitation to obtain important information regarding the substance of proposals for conferences, workshops, summer/winter schools, and similar activities. To facilitate timely notification of the availability of support: Proposals for conferences, workshops, etc., to be held in the US must be submitted 8 months in advance of the conference date; Proposals to support group travel to meetings outside the US must be submitted 12 months in advance of the meeting date; Proposals for conferences, workshops, etc., whose budget request exceeds $50,000 must be submitted during the annual November submission window.

NSF is committed to securing the nation's research enterprise as part of its core mission. The Research on Research Security (RoRS) program will advance the understanding of the full scope, potential, challenges, and nature of the research on research security field through scholarly evidence. Background The following activities provide background and context for developing proposals to submit to the RoRS program. The foundational legislative and policy documents include National Security Presidential Memorandum-33 (NSPM-33) and its associated supporting documents, as well as research security provisions in CHIPS and Science Act 2022. In 2022 NSF asked JASON to consider what a research program on research security might entail and how it would be defined.The findings are summarized in the report (JSR-22-08), Research Program on Research Security . The 2024 NSF-funded workshop, Responsible Collaboration Through Appropriate Research Security : A Workshop To Discuss and Study the Emergent Discipline of Research on Research Security, identified current themes, major issues, and challenges in research security. Program Description Collectively, the research that RoRS funds will foster a broad community that builds collaborations between the STEM research community, research security researchers, and research security practitioners. Interdisciplinary approaches are encouraged, and proposers should address how they will leverage the range of expertise, theories, and methods of the team to engage in evidence-based research on research security. Proposers are encouraged to identify collaborators across a wide range of sectors, and to consider projects in collaboration with international partners that share U.S. concerns with research security, when appropriate. RoRS encourages the following types of proposals to help build the emerging field of research on research security. (See the PAPPG for guidance on preparing specific proposal types.) Conferences and Workshops Planning Grants Early-concept Grants for Exploratory Research (EAGER) Proposal topics may include, but are not limited to, the following: The nature and pervasiveness of research security threats. Methods for identifying research security risks, and strategies for preventing and mitigating them. Methods for strengthening research security protocol and approaches. The complex relationships between human behavior and research security policies. Research security policies and their implications. Research on organizational change around systemic and cultural factors as they pertain to research security. Research on research security in the context of a particular field or discipline, especially in high-risk areas. The international dimensions of research security. Collectively, RoRS seeks to fund research projects with the following characteristics: Produce data, analysis, theory, and tools that inform current and future decision-making on U.S. research security. Use rigorous empirical methods to advance understanding of the factors that influence research security. Build upon established methodologies from diverse fields of study to ensure that RoRS develops quickly and efficiently into a robust, mature discipline with its own novel approaches. Develop innovative strategies to leverage previously unidentified, unconnected, and/or inaccessible sources of data. Prospective PIs are strongly encouraged review NSF Research Security resources and to contact the cognizant RoRS program director(s) prior to submission. Proposals should be prepared and submitted following the guidance in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) .

The Archaeology Program supports anthropologically relevant archaeological research to increase understanding of past behaviors. This means that the value of the proposed research can be justified within an anthropological context. It is the responsibility of the investigator to explain convincingly why the focus of their research is significant and has the potential to contribute to anthropological knowledge. The program sets no priorities by either geographic region or time period. It also has no priorities in regard to theoretical orientation or question. While the program, in order to encourage innovative research, neither limits nor defines specific categories of research, most proposals either request funds for field research or the analysis of archaeological material through multiple approaches.

The Science of Science:Discovery, Communication and Impact (SoS:DCI) program is designed to advance theory and knowledge about increasing the public value of scientific activity. Science of Science draws from multiple disciplinary and field perspectives to advance theory and research about scientific discovery, communication and impact. SoS:DCI welcomes proposals applying rigorous empirical research methods to advance theory and knowledge on: The social and structural mechanisms of scientific discovery. Theories, frameworks, models and data that improve our understanding of scientific communication and outcomes. The societal benefits of scientific activity and how science advances evidence-based policy making and the creation of public value. The SoS:DCI program, which expands upon the formerScience of Science and Innovation Policy (SciSIP)program, funds research that builds theoretical and empirical understanding of the social science of science. SoS:DCI welcomes proposals to conduct research at the individual, organizational and institutional levels or from micro, meso and macro scales and complex system levels. SoS:DCI encourages multiple disciplinary perspectives, interdisciplinary research and diverse methodological approaches in the pursuit of new knowledge to advance the science of science and evidence-based policy making. With these goals in mind, proposals should: Draw from and advance theory, knowledge and frameworks on the science of science. Develop models, data, indicators and associated analytical tools that constitute and enable transformative advances rather than incremental change. Provide credible rigorous assessments of the proposed project’s impact and social and policy implications. Include robust data management plans with the goal of advancing open science and increasing public access to usable, valid and reliable scientific materials. Of particular interest are proposals with the potential to strengthen America’s global leadership in science and increase national competitiveness across a broad range of domains. These include proposals that analyze strategies for strengthening and expanding the scientific workforce, as well as ways to cultivate high-impact discovery across sectors.The program strongly encourages convergent research and collaboration. In addition to intellectual merit, the program strongly encourages potential PIs to carefully consider the broader impacts of their work. The broader impacts criterion encompasses the potential to benefit society and contribute to the achievement of specific, desired policy outcomes.The Social, Behavioral and Economic Sciences Directorate has released additional guidance on broader impacts for SBE proposals . The SoS:DCI program places a high priority on broadening participation in the sciences. It encourages proposals from early-career researchers and from researchers who represent groups and regions that have historically participated at disproportionately low rates in science, mathematics, and engineering. SoS:DCI supports the following types of proposals: Standard Research Grants and Grants for Collaborative Research A Science of Science Approach to Analyzing and Innovating the Biomedical Research Enterprise (SoS:BIO) Conference Grants SoS:DCI also participates in certain specialized funding opportunities through NSF’s cross-cutting and cross-directorate activities .

The Community Infrastructure for Research in Computer and Information Science and Engineering (CIRC) program drives discovery and learning in the core disciplines of the three participating CISE divisions [Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information and Intelligent Systems (IIS)] of the Directorate for Computer and Information Science and Engineering (CISE) by funding the creation and enhancement of world-class research infrastructure. This research infrastructure will specifically support diverse communities of CISE researchers pursuing focused research agendas in computer and information science and engineering . This support involves developing the accompanying user services and engagement needed to attract, nurture, and grow a robust research community that is actively involved in determining directions for the infrastructure, as well as management of the infrastructure. This should lead to research infrastructure that can be sustained through community involvement and community leadership, and that will enable advances not possible with existing research infrastructure. Further, through the CIRC program, CISE seeks to ensure that researchers from a diverse range of institutions of higher education (IHEs), including minority-serving and predominantly undergraduate institutions, as well as researchers from non-profit, non-academic organizations, have access to such infrastructure. The CIRC program supports four classes of awards: Planning Community Infrastructure (Planning) awards support planning efforts to engage research communities to develop new CISE community research infrastructures. Such an infrastructure could be eventually funded through the CIRC program (Planning-C) or the NSF Mid-scale Research Infrastructure (MsRI) program (Planning-M) . For the scope of Mid-scale RI proposals, see the Mid-scale RI-1 and Mid-scale RI-2 program pages. Exploratory Development (Dev) awards support activities that involve the validation of one or more unproven infrastructure designs and/or technologies, which, if validated, could enable transformative community research infrastructure in the future. Successful projects are expected to provide the technical foundations necessary to pursue subsequent CIRC ( New or Grand ), Mid-scale RI-1 , or Mid-scale RI-2 projects. Medium Community Infrastructure (Medium) awards support the creation of new CISE community research infrastructure or the enhancement of existing CISE community research infrastructure with integrated tools, resources, user services, and research community outreach to enable innovative CISE research opportunities to advance the frontiers of the CISE core research areas. The Medium award class includes New (New) and Enhance/Sustain (ENS) awards. Grand Community Infrastructure (Grand) awards support projects involving significant efforts to develop new CISE community research infrastructure or to enhance and sustain an existing CISE community research infrastructure to enable world-class CISE research opportunities for broad-based communities of CISE researchers that extend well beyond the awardee organization(s). Each CIRC Medium or Grand award may include support for operation of the infrastructure, ensuring that the awardee organization(s) is (are) well positioned to provide a high quality of service to CISE community researchers expected to use the infrastructure to realize their research goals.

Recognizing the importance of international collaborations in promoting scientific discoveries, the National Science Foundation (NSF) and the Deutsche Forschungsgemeinschaft (German Research Foundation, DFG) have signed a Memorandum of Understanding (MoU) on research cooperation. The MoU provides an overarching framework to enhance opportunities for collaborative activities between US and German research communities and sets out the principles by which jointly supported activities might be developed. To facilitate the support of collaborative work between US researchers and their German counterparts under this MoU, the Division of Chemistry (CHE) and the Division of Chemical, Bioengineering, Environmental and Transport Systems (CBET) at NSF and the Divisions of Physics and Chemistry (PC) and Engineering Sciences (ING 1) at DFG are pleased to announce a Lead Agency Opportunity for Collaborative Research in Chemistry and Chemical Process and Transport Systems. The goal of this Lead Agency Opportunity is to reduce barriers to working internationally by allowing US and German researchers to submit a single collaborative proposal that will undergo a single review process while funding organizations maintain budgetary control over their awards. Proposals eligible for funding consideration through this Lead Agency Opportunity should review the CHE, CBET, PC, and ING 1 program descriptions for research supported through these divisions/organizations. Proposals are expected to adhere to typical proposal budgets and durations for the relevant CHE, CBET, PC, and ING 1 programs from which funding is sought. A list of participating NSF programs can be found at: https://www.nsf.gov/od/oise/IntlCollaborations/Germany.jsp . German researchers are invited to read: www.dfg.de/nsf-che-cbet . Proposals submitted under this Opportunity will be reviewed by either NSF or DFG as the Lead Agency, depending on where the largest proportion of research lies. Proposals must provide a clear rationale for the need for a US-German collaboration, including the unique expertise and synergy that the collaborating groups will bring to the project. The result of the review process will be shared among the appropriate divisions (NSF/CHE and/or NSF/CBET, and DFG/PC and/or DFG/ING 1) before making final recommendations.

The U.S. NSF Directorate for Technology, Innovation and Partnerships (NSF TIP) partners across sectors to advance three primary focus areas – accelerating technology translation and development, fostering regional innovation and economic growth, and preparing the American workforce for future high-wage jobs in STEM fields. The translation of research to practice ensures that the insights and innovations developed through scientific study and experimentation have tangible, positive impacts for the Nation. These impacts include improving the quality of life, promoting economic and job growth, ensuring national security, and maintaining global competitiveness. Indeed, scientific and engineering breakthroughs have the potential to address critical societal challenges in industries such as aerospace, agriculture, communications, education, energy, healthcare, national security, and transportation – but the translation of discoveries and innovations from the laboratory to society often takes many forms including non-linear pathways. The NSF TTP program was developed with several goals in mind: To identify and support use-inspired research and translational activities enabling a continuum from foundational research to practice; To develop partnerships and collaborations between institutions of higher education and other entities (e.g., industry, state/local/national government agencies, philanthropies, open-source ecosystems, for-benefit, for-profit and non-profit organizations, international organizations, etc.); To promote and advance the education and training of students and postdoctoral researchers, encouraging the participation of all Americans in STEM including innovation and entrepreneurship; and To identify future customer needs and opportunities and bring these to the forefront in the conduct of use-inspired research and translational activities. The NSF TTP program offers three tracks that represent different starting points or stages in moving discoveries and innovations from the laboratory to practice: NSF TTP-Explore (NSF TTP-E) is a pilot track that is likely to be the first step for researchers seeking to translate their basic research to practice. To be eligible for the NSF TTP-E track, proposers must have an active, eligible, NSF research award (see Eligibility Information for further details). TTP-E is designed to encourage current, eligible NSF awardees to intentionally pursue applications of their research with the potential for societal impact. The NSF TTP-E track provides the opportunity to obtain an extension of the initial award period of a current NSF award for up to two years in order to offer investigators an opportunity to explore adventurous, high-risk, use-inspired research and initial translational activities as the starting point for translation that was not covered by the original research award. NSF TTP-Translate (NSF TTP-T) starts with use-inspired research and initial translational activities and further matures the idea(s), iterates and improves the solution(s), and lowers the barrier(s) to effective translation of research from lab to practice. NSF TTP-Partner (NSF TTP-P) supports translational efforts that demand one or more partnerships for technology development and deployment. Here, strategic partnerships with stakeholders beyond U.S. institutions of higher education are essential ingredients for success and may include industry partners, government entities at all levels, philanthropies, international organizations, or other groups associated with large scale productization and distribution. The NSF TTP-P track requires an NSF-Catalyzed Partnership with an organization that will assist in the translation to practice. In addition to the Principal Investigator (PI), NSF TTP-P proposals must include a co-PI or Senior/Key Personnel who is a member or employee of the NSF-Catalyzed Partner. Partnerships with U.S. institutions of higher education are valued, but NSF TTP strongly prioritizes NSF-Catalyzed Partnerships that are able to help bring the product, process, or service to the market, potentially through licensing agreements, startup or small business formation, incorporation into an existing open-source ecosystem, development into standards setting arrangements, etc.

The NSF CISE Directorate supports research and education projects that develop new knowledge in all aspects of computing, communications, and information science and engineering through the following Future Computing Research (Future CoRe) programs: Algorithmic Foundations (AF) program; Communications and Information Foundations (CIF) program; Computer Systems Research (CSR) program; Computing Education Research (CER) program; Cyber-Physical System Foundations and Connected Communities (CPS) program; Foundations of Emerging Technologies (FET) program; Human-Centered Computing (HCC) program; Information Integration and Informatics (III) program; Networking Technology and Systems (NeTS) program; Robust Intelligence (RI) program;and Software and Hardware Foundations (SHF) program; The CISE Future Computing Research program anticipates a portfolio of awards with a range of budgets and durations, including projects of smaller scope. Project durations and budgets must be commensurate with the scope of the proposed work up to the maximum limit of $1,000,000 with a duration up to 4 years. Typical projects are approximately $150,000 to $250,000 per year and are 3 to 4 years in duration. Projects are discouraged from exceeding $300,000 in any single year. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds.

The NSF STEM K-12 program in the Division of Research on Learning in Formal and Informal Settings (DRL) in the Directorate for STEM Education (EDU) supports fundamental, applied, and translational research that advances STEM teaching and learning and improves understanding of education across the human lifespan and a range of formal and informal settings.

The U.S. National Science Foundation (NSF) continues to develop and nurture a national innovation ecosystem that guides the output of scientific discoveries closer to the development of technologies, products, processes, and services that benefit all Americans . The goals of the NSF I-Corps ™ p rogram are to spur translation of foundational research to the marketplace, to encourage collaboration between academia and industry, and to train NSF-funded faculty, students and other researchers in innovation and entrepreneurship skills. The NSF National I-Corps program utilizes experiential learning of customer and industry discovery, coupled with first-hand investigation of industrial processes, to quickly assess the translational potential of inventions. The NSF National I-Corps program is designed to support the commercialization of "deep technologies,” those revolving around foundational discoveries in science and engineering. The NSF National I-Corps program addresses the skill and knowledge gaps associated with the transformation of basic research into deep technology ventures (DTVs). The purpose of the NSF National I-Corps Teams program is to provide NSF-funded researchers additional support in the form of entrepreneurial education, mentoring, and funding to accelerate the translation of knowledge derived from foundational research into emerging products, processes, and services that may attract subsequent third-party funding. The outcomes of NSF National I-Corps Teams' projects are threefold: 1) a decision on a clear path forward based on an assessment of the business model, 2) substantial first-hand evidence for or against product-market fit, with the identification of customer segments and corresponding value propositions, and 3) a narrative of a technology demonstration for potential partners.

The Collaboratory to Advance Mathematics Education and Learning (CAMEL) for K-12 initiative aims to advance mathematics learning and education through purposeful collaboration that draws on the interdisciplinary Science of Learning (including neuroscience; cognitive, developmental, and social sciences; computer science; machine learning; engineering; and education research), deep experiences in education practice and teaching, and innovations in the use of data science, AI and technology. Through an agreement with philanthropic partners, including the Walton Family Foundation (WFF), CAMEL consists of two phases. Phase I invites proposals for the creation of new research networks to support the generation of high value datasets that aim to advance math learning and education. These research networks must include researchers who study the basic science of learning, education practitioners, and data scientists. The high value dataset may come from either generating a new dataset or by increasing the value of an existing dataset. Phase II, open only to awardees of Phase I, establishes a “collaboratory,” which is a socio-technological platform that prioritizes community-building and capacity-building to sustain collaborative efforts to advance math learning and education in K-12. Expanding Participation in STEM, NSF Priorities and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission . Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence to appropriate tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality.

Government and the nation face a talent shortfall in artificial intelligence (AI) and cybersecurity. The CyberAICorps Scholarship for Service ( CyberAI SFS ) program welcomes proposals that address AI and cybersecurity education and workforce development. CyberAI refers to using AI in cybersecurity as well as providing security and resilience for AI systems. The Scholarship Track provides funding to establish, or to continue, scholarship for service programs with integrated AI and cybersecurity components (CyberAI). Scholarship recipients must be U.S. citizens or lawful permanent residents and work after graduation in the AI or cybersecurity mission of a government organization for a period of at least the length of the scholarship. The Innovation Track supports projects that enhance preparation of AI and/or cybersecurity professionals. Projects may expand existing educational opportunities, curricula, degree programs, educational pathways, methods and interventions, and partnerships among institutions of higher education, government, and employers. Two statutes authorize this program: 15 USC §7442 (cybersecurity) and 42 USC §18993 (AI). CyberAI SFS aligns with the Executive Order 14277 to prioritize AI within scholarship for service programs. CyberAI is managed by NSF’s Directorate for STEM Education in collaboration with the U.S. Office of Personnel Management (OPM) and U.S. Department of Homeland Security (DHS).

The integration of Artificial Intelligence (AI) and Biological Research has the potential to pave the way for breakthroughs in biotechnology and bio-system design that will create innovations, new industries, and jobs. To capitalize on this promise, the Directorate for Biological Sciences (BIO) will make awards for Postdoctoral Research Fellowships in Biology (PRFB) to recent doctoral degree recipients, for proposals with a research and training focus at the Intersection of Artificial Intelligence and Biological Sciences to Strengthen and Safeguard Biotechnology Innovations. Applying AI to highly complex biological systems will reveal unknown mechanisms in the natural world that hold promise for technological developments. Candidates with AI and/or biology experience will develop deep expertise in both by proposing additional training in both areas. These combinations of current expertise and new cross-training will produce scientists who work seamlessly at the intersection of AI and biology. The fellows are expected to become field leaders who use AI capabilities to extrapolate from biological data to technological advances. Proposers are encouraged to consider how to leverage the nation’s diversity of existing biological data, and biological infrastructure, such as Biofoundries, Programmable Cloud Labs, Manufacturing USA Institutes, and NEON, to accelerate discovery, innovation and the biotechnology that improves human lives, promotes the U.S. economy, and benefits the nation.

The Pathways to Enable Secure Open-Source Ecosystems (PESOSE) program supports the translation of open-source science and engineering-focused research products into safe and sustainable ecosystems that address national and societal challenges. Open-source tools such as software, hardware, machine learning models, languages, and data platforms are designed to be shared as they are publicly-accessible and modifiable. These tools spark innovation in critical fields as varied as artificial intelligence (AI) and cloud computing, banking, healthcare, research, education, next-gen manufacturing, mobility, and National security (including cybersecurity). PESOSE supports the creation of managing organizations for these ecosystems, ensuring strong governance, distributed development, and broad user communities across academia, industry, and government. PESOSE also supports enhancements to the safety, security, and privacy of Open-Source Ecosystems (OSE) by addressing significant vulnerabilities, both technical and socio-technical, to improve the resistance of the ecosystem against threats. This solicitation seeks three types of proposals, allowing teams to propose specific activities to:1) scope and planthe establishment of an OSE, 2)establishand expand a sustainable OSE based on a robust, promising open-source product that meets an emergent societal or national need, and 3) improve the safety, security, and privacy of an existing OSE and its products.

The NSF FINDERS FOUNDRY program supports collaboration among K-12 educators, technologists, and researchers to develop innovative solutions to persistent challenges in learning and workforce development. These challenges are identified by K-12 students, families, and educators. The program aims to create and scale evidence-based practices, tools, and technologies that improve learning outcomes and prepare students for a digital, Artificial Intelligence (AI)-driven future. A key focus is early exposure to AI to build curiosity, understanding, and readiness for future careers. The program encourages partnerships across sectors - schools, universities, industry, government, and nonprofits - to co-design responsive, technology-based solutions. NSF FINDERS FOUNDRY program includes two phases: Planning and Development. Planning proposals help teams explore one of several focus areas. Only teams awarded Planning grants may submit Development proposals, which support the growth and implementation of promising ideas. The program aligns with national priorities, including the Executive Order 14277, “Advancing Artificial Intelligence Education for American Youth ” (April 23, 2025), and the CHIPS and Science Act of 2022, Public Law 117-167 , Sections 10381-10383 and 10395.

The National Science Foundation (NSF) invites investigators at U.S. organizations to submit proposals for Doctoral Dissertation Research Improvement Grants (DDRIGs) to the Arctic Sciences Section, Office of Polar Programs (OPP) to conduct dissertation-level research about and related to the Arctic region. The Programs that are currently accepting DDRIG proposals are the Arctic Social Sciences (ASSP), Arctic System Science (ARCSS), and Arctic Observing Network (AON) Programs. The goal of this solicitation is to attract research proposals that advance a fundamental, process, and systems-level understanding of the Arctic's rapidly changing natural environment and social and cultural systems, and, where appropriate, to improve our capacity to project future change. The Arctic Sciences Section supports research focused on the Arctic region and its connectivity with lower latitudes. The scientific scope is aligned with, but not limited to, research challenges outlined in the Interagency Arctic Research Policy Committee’s five-year Arctic research plan ( https://www.nsf.gov/geo/opp/arctic/iarpc/start.jsp ). Given that this solicitation is designed to support early career scientists, this Program will also advance research capacity in Arctic sciences, promote workforce development in Science, Technology, Engineering, and Math (STEM). The Arctic Sciences Section coordinates with programs across NSF and with other federal and international partners to co-review and co-fund Arctic proposals as appropriate. The Arctic Sciences Section also maintains Arctic logistical infrastructure and field support capabilities that are available to enable research.

The Integrated Data Systems and Services (IDSS) program supports operations-level national-scale cyberinfrastructure systems and services that broadly advance and facilitate open, data- intensive and artificial intelligence-driven science and engineering research, innovation, and education. Through this solicitation, the IDSS program is accepting proposals for three categories of projects: Category I . Development, deployment, and operation of n ovel national-scale integrated data systems and services, which may include interfacing with or leveraging other existing capabilities, systems and services, as appropriate to the project ; Category II. Transition of established smaller scale, regional, pilot , or prototype data-focused systems and services to national-scale production/operational quality/level. This may also include enhancement and expansion of existing national-scale data-focused operational systems and services; and Category III. Planning grants for future potential development/deployment or transition/enhancement IDSS projects. NSF and the Office of Advanced Cyberinfrastructure (OAC) have long supported the development of innovative foundational and application-specific cyberinfrastructure resources and systems to address data-intensive research needs at the campus, regional, and community scales, through programs such as Cyberinfrastructure for Sustained Scientific Innovation (CSSI) , Campus Cyberinfrastructure (CC*) , and other investments. The primary goal of the IDSS program is to support national-scale foundational data cyberinfrastructure that broadly enables data- and artificial intelligence-driven research for many communities. The IDSS program supports foundational transdisciplinary and demonstrably multi-disciplinary projects aimed to broadly impact the science and engineering research and education community. Projects that aim to primarily benefit a single science discipline, domain, project, or application are not supported. It is recommended that prospective PIs contact program officer(s) from the list of Cognizant Program Officers to gain insight about alignment of their project ideas with the priorities of the IDSS program and Office of Advanced Cyberinfrastructure. As part of contacting Cognizant Program Officers, prospective PIs are also encouraged to ascertain that the focus and budget of their proposed work are appropriate for this solicitation.

The Professional Formation of Engineers (PFE) initiative integrates engineering research and education to improve and expand the nation’s engineering workforce. PFE is defined as the formal and informal processes and value systems by which people become engineers. The goal of PFE is to create an ethical engineering workforce with a global outlook and the ability to adapt to the rapidly evolving technical environment. This will help build a future engineering workforce with the skills to compete in the global marketplace, support emerging technologies, and grow U.S. industry. PFE supports projects in the ENGINEER program relating to future and current engineers’ training and education in many contexts, including formal classrooms, informal maker spaces, clubs and co-curricular activities, and workplaces. Such training encompasses cooperative education and internships, community-based experiences, and research labs. It also involves many scales of analysis, from mentor/mentee relationships to large-scale online learning and professional development experiences. Engineers must develop and maintain these learning opportunities with clear pathways to and through the profession. Such pathways include formal and informal education, apprenticeships, credentialing, and licensure, and consider relationships with other professionals, technical workers, and community members. Finally, such opportunities include transitions across and within academia and industry. To understand and improve this system requires expertise in both engineering and the social sciences.

The Transport Phenomena (TP) program supports fundamental research to understand, model, and control the transport of mass, momentum, energy, and species across multiple scales. Innovative TP research supports advances in artificial intelligence; manufacturing; biotechnology; microelectronics; energy generation, extraction, and utilization; nuclear energy; quantum science and engineering; and other national priorities. TP projects involve experiments, theory, and/or computational modeling. They aim to improve understanding and to create novel analytical techniques. While projects focus on fundamental principles, they also have a clear vision of how research outcomes will benefit applications in engineering. TP supports research on the dynamics of single- and multiphase systems. Special interests include flow separation, transition to turbulence, drag reduction, cavitation, instabilities, and reactive flows. The program encourages research on the connection between dynamics at the microscale and material and flow properties at the macroscale. Fluids of interest include liquids, gases, suspensions, emulsions, granular materials, active fluids, biological fluids, colloids, aerosols, bubbles and drops, and fluids with surfactants. TP supports research on physicochemical phenomena at the interfaces between fluids and between fluids and solids. These phenomena include adsorption and desorption of nanoparticles and surfactants; bulk and interfacial rheology; wetting and capillarity phenomena; electrokinetics; flow in porous media; and directed and self-assembly of particles. TP supports research on thermodynamics and thermal transport involving conduction, diffusion, convection, phase transition, and radiation. Research may be across scales, in complex structures and at interfaces, in microelectronic devices, and in biological systems. Projects involving phonon transport and quantum thermal phenomena are welcome. TP encourages proposals focused on combustion of gas, liquid and solid fuels. Combustion topics of interest include chemical kinetic modeling, turbulence-chemistry interactions, detonations, plasma assisted reacting flows, sustainable fuels, mechanisms for pollutant control, and in-situ diagnostic methods. The program also supports research on wildland fire behavior that aims to prevent wildfire spread, inhibit its growth, and/or predict and mitigate fires at the wildland-urban interface. Partnerships: To speed discovery and innovation, NSF partners with federal agencies, industry, international groups, and others. Current opportunities are at NSF ENG Partnerships.

NSF invests in scientific discoveries, technological breakthroughs, and transformative innovations that strengthen economic growth, enhance security, and improve the lives of Americans and people around the world. Our ability to support that mission requires a robust scientific and engineering (S&E) enterprise in the United States that allows scientists to innovate at the frontier. In addition to funding scientists, America needs next-generation scientific instrumentation that allows scientists to pursue new innovations. In many fields, it is critical that this new scientific instrumentation is developed in the United States. In support of this mission, NSF is initiating a pilot emphasis area for its SBIR/STTR programs to invest in startups and small businesses that are specifically developing enabling technologies that include next-generation instrumentation, novel experimental platforms, and other scientific equipment to advance the frontiers of scientific discovery and strengthen the American scientific and engineering enterprise. This encompasses novel instrumentation necessary for the coming era of AI-driven discoveries. This pilot will prioritize investing in the necessary infrastructure to support entirely new fields of scientific discovery, making new technological breakthroughs and transformative applications possible. Through this approach, NSF will continue to lead in propelling the scientific enterprise to new frontiers. This pilot emphasis area for the NSF SBIR/STTR programs funds across enabling technology areas and market sectors in alignment with the above goals; the programs do not solicit specific technologies for the purpose of procuring goods and services for the agency from startups and small businesses. NSF will continue to invest in other deep-tech ventures through the historic NSF SBIR/STTR programs available here. Funding opportunities are available through the NSF SBIR/STTR programs: Phase I, Phase II, Fast-Track, and Supplements. Each company can receive up to $2.0 million for R&D. Separately, NSF welcomes Strategic Breakthrough proposals, upon recommendation from the Program Officer, for Phase II awardees. NSF takes no equity and awardees keep full ownership of their company and intellectual property. Expanding Participation in STEM and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF also expects the highest standards of scientific rigor, integrity and adherence to tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality.

The NSF Directorate for Engineering (ENG) seeks to build engineering research capacity across the nation by investing in new academic investigators who have yet to receive sufficient research funding from Federal Agencies. The Engineering Research Initiation (ERI) program will support new investigators as they initiate their research programs and advance in their careers as researchers, educators, and innovators. This funding opportunity aims to broaden the base of investigators involved in engineering research and therefore is limited to investigators that are not affiliated with “very high research activity” R1 institutions (according to the Carnegie Classification https://carnegieclassifications.iu.edu/ ).

This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods. Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research. It also enables investigations outside of the original motivation for data collection and analysis. The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems. 3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed. Proposals are encouraged to leverage existing resources. These may include NSF data platforms , the NSF Integrated Data Systems and Services program , the NSF-led National AI Research Resource , the Genesis Mission platform , or other national infrastructure. NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunities that will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets. Expanding Participation in STEM, NSF Priorities, and Gold Standard Science: NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission . Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality.

The NSF State and Regional AI Infrastructure Hubs program aims to expand access to the compute required for AI-enabled scientific discovery and to transform the research, education, and training opportunities offered by institutions of higher education. AI Infrastructure Hubs will connect researchers to new compute infrastructure that leverages contributions from state governments, research institutions, industry, and philanthropy, accelerating AI-enabled discovery across science and engineering and developing a skilled technical workforce for AI use in the scientific enterprise. The program responds to a core tenet of Science: A New Golden Age to renew America’s research and development (R&D) for changes in today’s scientific enterprise, including the role of AI in laying the foundation for a new era of scientific discovery and the growing role of industry and philanthropy in funding R&D. In response, the Administration’s FY28 R&D Priorities Memorandum called for investing in AI for science as a national mission and expanding the scale of, and flexible access to, advanced compute and data infrastructure that researchers now require for frontier scientific discovery. Each AI Infrastructure Hub will be organized as a flexible state or regional consortium of state and local governments, research institutions, philanthropies, and the private sector. Consortia will be responsible for all funding for new or expanded computing, data, and AI resources, whether on-premises or cloud-based. NSF will fund each Hub’s consortium coordination, AI infrastructure workforce development, and faculty training and coursework development in leveraging AI for science.

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs at the frontiers of discovery in theoretical and applied mathematical sciences. Programs include: Algebra and Number Theory Analysis Applied Mathematics Combinatorics Computational Mathematics Foundations Geometric Analysis Mathematical Biology Probability Statistics Topology Mathematical Sciences Research Infrastructure Mathematical Sciences Focused Research Groups Mathematical Sciences Research Training Groups NSF anticipates a portfolio of awards for these programs with a range of budgets, durations and scopes. Program budgets, number of awards, award sizes and durations are subject to the availability of funds. NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation Directorate for Engineering (NSF ENG) supports foundational research for electrical, communications and computing systems through the following programs: The Electronic, Photonic, Magnetic, and Quantum Devices (EPMQD) program supports foundational engineering research on novel classical and quantum devices, exploring matter’s electronic, photonic, and magnetic properties to enable new applications. The Circuits and Systems for Communications and Sensing (CSCS) program supports foundational engineering research on classical and quantum aspects of advanced components, systems, and signal processing for communications and sensing. The Energy, Power, Control, and Learning (EPCL) program supports foundational research on systems and control, learning, optimization, artificial intelligence, and networked multi-agent systems, and their applications, with emphasis on power and energy systems. NSF ENG anticipates a portfolio of ENG: Electrical, Communications, and Computing Systems (ECCS) awards with a range of budgets and durations. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds. NSF ENG is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation Directorate for Engineering (NSF ENG) supports foundational research projects for civil, mechanical, and manufacturing innovation through the following programs: The Advanced Manufacturing, Design, and Operations (AMDO) program supports foundational research on advanced manufacturing, materials and service processes; their integration into facilities, supply chains, and other systems; and the optimal operation and design of these systems. The Engineering for the Built Environment (EBE) program supports foundational research on civil infrastructure and civil infrastructure systems, from materials to network sciences, for prosperous, resilient, and safe communities. The Intelligent and Interactive Dynamic Systems (IIDS) program supports foundational research to advance the science and engineering of intelligent dynamic systems, including engineered systems that interact with people. The Mechanics of Advanced Materials Systems (MAMS) program supports foundational research on deformation and failure in engineered and biological materials. NSF ENG anticipates a portfolio of ENG: Civil, Mechanical, and Manufacturing Innovation (CMMI) awards with a range of budgets and durations. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds. NSF ENG is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation's Directorate for Biological Sciences (NSF BIO) Core Research in Biological Sciences (BIO Core) funding opportunity supports foundational and interdisciplinary research projects that expand knowledge of biology at any level of organization, from the molecular to the biome scale. We accept proposals that cover scientific topics associated with legacy programs historically supported by NSF BIO and proposals that explore new areas of biological sciences. BIO Core funds single- and multi-investigator awards. The portfolio of awards is anticipated to include a range of budgets and durations, including exploratory projects of smaller scope and long-horizon projects that benefit from longer-term commitment. BIO Core awards are subject to the availability of funds.

The U.S. National Science Foundation Directorate for Engineering (NSF ENG) supports foundational engineering research for chemical, bioengineering, energy, and transport systems through the following programs: The Chemical Process Systems (CPS) program supports foundational engineering research in chemical and biochemical processes for chemicals, fuels, energy, and materials. The Engineering Biological and Biomedical Systems (EBBS) program supports foundational engineering research on platforms, devices, organisms, tissues, and processes that advance knowledge and control of biological functions. The Energy, Water, and Resource Engineering (EWRE) program supports foundational engineering research to manage energy, water, minerals, and material resources. The Transport Phenomena (TP) program supports foundational engineering research to understand, model, and control the transport of mass, momentum, energy, and species across multiple scales. NSF ENG anticipates a portfolio of ENG: Chemical, Bioengineering, Energy, and Transport Systems (CBET) awards with a range of budgets and durations. Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds. NSF ENG is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports foundational research through multiple programs in the chemical sciences. Programs include: Chemical Catalysis Chemical Measurement and Imaging Chemical Mechanism, Function, and Properties Chemical Structure and Dynamics Chemical Synthesis Chemical Systems and Solutions Chemical Theory, Models and Computational Methods Chemistry of Life Processes Macromolecular, Supramolecular, and Nanochemistry NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple materials research programs that advance fundamental understanding of materials, their properties, and their potential applications. The programs covered by this solicitation are: Biomaterials Ceramics Condensed Matter and Materials Theory Condensed Matter Physics Electronic and Photonic Materials Metals and Metallic Nanostructures Polymers Solid State and Materials Chemistry Other materials research funding opportunities are covered by separate NSF solicitations, such as the NSF Materials Research Science and Engineering Centers and Designing Materials to Revolutionize and Engineer our Future. NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs in the astronomical sciences. NSF MPS funds foundational astronomical sciences research and instrumentation focused on exploring space and advancing fundamental understanding of the universe. The programs covered by this funding opportunity are: Astronomical Sciences Core Research Astronomical Sciences Technology & Instrumentation Astronomical Sciences Innovations Research supported by these programs is essential for ongoing discovery in a range of fields. The programs provide a strong scientific foundation for America's capabilities in multiple areas: predicting solar storms, discovering potentially habitable planets in other solar systems, understanding the physical workings of extreme astrophysical objects like black holes, and more. NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs at the frontiers of discovery in physics. Physics research supported by NSF MPS enables understanding of the fundamental aspects of nature at all scales, from the quantum effects inside atoms to the mysterious dark energy spanning the entire universe. The core research programs covered by this funding opportunity are: Atomic, Molecular, and Optical Physics - Experiment (AMO-Experiment) Atomic, Molecular, and Optical Physics - Theory (AMO-Theory) Elementary Particle Physics - Experiment (EPP-Experiment) Elementary Particle Physics, Astrophysics and Cosmology - Theory (EPP/Cosmology-Theory) Gravitational Physics Integrative Activities in Physics (IAP) Nuclear Physics - Experiment (NP-Experiment) Nuclear Physics - Theory (NP-Theory) Particle Astrophysics - Experiment (PA-Experiment) Physics of Living Systems (PoLS) Plasma Physics Quantum Information Science (QIS) The cross-cutting research programs covered by this funding opportunity are: Advanced Physics Instrumentation (API) Focused Research Hubs in Theoretical Physics (FRHTP) Physics at the Information Frontier (PIF) NSF MPS is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The Emerging Frontiers in Research and Innovation (EFRI) program serves a critical role in helping the NSF Directorate for Engineering focus on important emerging areas in a timely way. The EFRI program invests in potentially transformative ideas that offer the opportunity for significant shifts in foundational engineering knowledge. EFRI-funded research must have strong potential for long-term impact on strategic technology priorities and/or national science and technology (S&T) missions identified in the Administration's Fiscal Year (FY) 2028 Research and Development (R&D) Budget Priorities Memorandum. Such impacts need not be fully realized within the duration of the research period; however, proposers are expected to articulate how a proposal is use-inspired and may lay the foundations for stated priorities. This EFRI solicitation leverages a portfolio of both two-year EArly-concept Grants for Exploratory Research (EAGER) awards and larger four-year awards in response to Science: A New Golden Age , which calls for a more flexible set of funding mechanisms that match the scientific challenges they seek to address. The EFRI Wave-Based Computing (WBC) solicitation will support foundational and transformative research to advance the development of computing approaches that harness the principles of wave dynamics. The EFRI WBC solicitation will support two tracks. Track 1: Exploratory approaches may be funded through EArly-concept Grants for Exploratory Research (EAGER) awards. Track 2: Larger, multidisciplinary projects may be funded through four-year awards of up to $2,000,000. The EFRI WBC program encourages collaboration with industry. Proposers may consider using a formal mechanism, such as NSF Grant Opportunities for Academic Liaison with Industry (GOALI).

The far-reaching impact and rate of innovation in the computer and information science and engineering fields has been remarkable, generating economic prosperity, and enhancing the quality of life for people. More than a decade ago, the NSF Directorate for Computer and Information Science and Engineering (NSF CISE) established the NSF Expeditions program to provide the NSF CISE research community with the opportunity to pursue ambitious, foundational research agendas that promise to define the future of computing and information. Investigators are strongly encouraged to come together within or across departments or institutions to identify compelling, transformative research agendas that look ahead by at least a decade and promise disruptive innovations in computer and information science and engineering for the years ahead. Expeditions may advance a range of areas including, but not limited to, fundamentally new architectures for intelligence and the hardware and compute substrates that make them possible; rigorous physical and mathematical theories of how systems learn, generalize, and can be interpreted; neuroscience-inspired approaches to learning, memory, reasoning, and behavioral steering; intelligence embodied in the physical world through general physical intelligence, advanced robotics hardware, and novel architectures and learning paradigms for embodied systems; transformative approaches to next generation communication and networking; and high-risk, high-reward areas that no single discipline could pursue alone. Now funded at levels up to $15,000,000 over seven years, NSF Expeditions projects represent some of the largest single investments made by the CISE Directorate. These awards are designed to promote the formation of large, multidisciplinary research teams to address transformative foundational computing research problems. This reflects CISE’s recognition that achieving deep and lasting breakthroughs often require advances in multiple fields or sub-fields. Awards made through this program will complement research areas supported by other CISE programs. The program responds to core recommendations in the Administration’s Fiscal Year 2028 Research and Development Budget Priorities Memorandum that calls for foundational research in the physical sciences and engineering, including computer science. NSF Expeditions also supports longer grant durations for transformative research, giving scientists the time and autonomy to pursue bold, ambitious projects whose most important results may take years to emerge.

The NSF Geosciences Research solicitation supports foundational research projects that advance the frontiers of knowledge across all areas of the geosciences. This solicitation calls for proposals in three programs: Atmospheric and Geospace Sciences (AGS) Program ; Earth Sciences (EAR) Program ; and Ocean Sciences (OCE) Program . These programs support projects that expand the frontiers of knowledge in science and technology. The programs encourage projects that advance research on Earth’s atmosphere and the near-Earth space environment; solid Earth sciences and Earth surface processes; and all fields of ocean science. Projects may focus on foundational research in a specific domain or cover multiple disciplines. NSF is particularly interested in intellectually ambitious and potentially transformative foundational research. Proposals need not promise a near-term product, deployment, or commercial outcome, nor need they address later-stage development to be competitive.

The National Science Foundation (NSF) plays a prominent role in the improvement of undergraduate STEM education at the Nation’s colleges and universities. Through the IUSE: Innovation in Two-Year College STEM Education (ITYC) program, the agency seeks to extend this effort by making an intentional investment in the country’s two-year institutions of higher education, or two-year colleges. The twin goals of the ITYC program are to (1) center students in the effort to advance innovation and promote success in STEM education at two-year colleges, and (2) enhance the capacity of two-year colleges to harness the talent and potential of their student and faculty populations through innovative disciplinary, multi-department, and college-wide efforts. These goals will be achieved by investing in projects at two-year colleges that contribute to student success in STEM-based foundational courses and academic pathways for both majors and non-majors. Project activities may be in any discipline that is currently supported by NSF funding, which includes the social, behavioral, and economic sciences. Collectively, projects in the ITYC program will make progress towards ensuring that two-year college students and faculty have the resources to participate in and contribute to the broader STEM enterprise. Aligned with the goals above, the ITYC program features two tracks: (1) A Focus on the Academic Experiences of Two-Year College Students and (2) Leveraging Two-Year College Strengths and Innovation. Each Track can support projects requesting up to $500,000 for a duration of up to three years. For institutions that have not received NSF funding in the past five years, an additional $100,000 may be added to the budget which may be used by the institution to support and carry out grant-funded activities over four years. This would result in a total maximum budget of $600,000 for a project over four years. Institutions that have been funded as part of a collaborative award with their own NSF Award Number are not eligible for this incentive, however, institutions that have had a subaward from another institution are eligible. This program is open to two-year colleges, which includes the following institutions, as described by Carnegie Classifications: Associate’s Colleges: Institutions at which the highest-level degree awarded is an associate degree. This may include transfer as well a career and technical oriented colleges. Baccalaureate / Associate’s Colleges: Institutions that award at least one baccalaureate degree but confer at least 50% of their degrees at the associate level. The ITYC program is aligned with NSF's Improving Undergraduate STEM Education (IUSE) framework, which is a comprehensive effort to accelerate improvements in the quality and effectiveness of undergraduate education in STEM fields.

The PFE: Research Initiation in Engineering Formation (PFE: RIEF) program has two goals: 1) Support research in the Professional Formation of Engineers (PFE), and 2) Increase the community of researchers conducting PFE research. PIs are expected to have little or no experience conducting social science or education research. PFE: RIEF is not intended for established researchers in engineering education or other social science fields to initiate new projects. Those researchers should consider the Research in the Formation of Engineers program ( https://www.nsf.gov/funding/opportunities/rfe-research-formation-engineers ). The NSF Engineering (ENG) Directorate has launched a multi-year initiative, the Professional Formation of Engineers, to create and support an innovative and inclusive engineering profession for the 21st Century. Professional Formation of Engineers (PFE) refers to the formal and informal education and value systems by which people become engineers. It also includes the ethical responsibility of practicing engineers to sustain and grow the profession. The engineering profession must be responsive to national priorities, grand challenges, and dynamic workforce needs; it must be equally open and accessible to all Americans. Engineering faculty possess both deep technical expertise in their engineering discipline and the primary responsibility for the process of professional formation of future engineers. As such, engineering faculty are in a unique position to help address critical challenges in engineering formation. The Professional Formation of Engineers: Research Initiation in Engineering Formation (PFE: RIEF) program enables engineering faculty who are renowned for teaching, mentoring, or leading educational reform efforts on their campus to develop expertise in conducting engineering education research.

The Sociology Program supports basic research on all forms of human social organization — societies, institutions, groups and demography — and processes of individual and institutional change. The program encourages theoretically focused empirical investigations aimed at improving the explanation of fundamental social processes. This includes research on organizations and organizational behavior, population dynamics, social movements, social groups, labor force participation, stratification and mobility, family, social networks, socialization, and the sociology of science and technology. The program supports both original data collection and secondary data analysis that use the full range of quantitative and qualitative methodological tools. Theoretically grounded projects that offer methodological innovations and improvements for data collection and analysis are also welcomed. Principal Investigators should selectPD 98-1331in the program announcement/solicitation block on the proposal cover sheet for submission of regular research projects to the sociology program. Projects are evaluated using the two foundation-wide criteria, intellectual merit and broader impacts . In assessing the intellectual merit of proposed research, four components are key to securing support from the Sociology Program: (1) the issues investigated must be theoretically grounded; (2) the research should be based on empirical observation or be subject to empirical validation or illustration; (3) the research design must be appropriate to the questions asked; and (4) the proposed research must advance our understanding of social processes, structures and methods. NSF also offers a number of specialized funding opportunities through its crosscutting and cross-directorate activities; some of the sociology-related opportunities are listed below. Crosscutting Research & Training Opportunities: ADVANCE: Increasing the Participation and Advancement of Women in Academic Science and Engineering Careers Faculty Early Career Development (CAREER) Program Graduate Research Fellowship Program (GRFP) Major Research Instrumentation (MRI) Program Mid-scale Research Infrastructure Programs SBE Postdoctoral Research Fellowships (SPRF) Research Experiences for Undergraduates (REU) Research at Undergraduate Institutions (RUI) Small Business Innovation Research (SBIR) Program To get information about these programs and others, please visit the cross-cutting and NSF-wide active funding opportunities search page. NSF's mission calls for the broadening of opportunities for and expanding participation of groups, institutions and geographic regions that are underrepresented in STEM disciplines, which is essential to the health and vitality of science and engineering. NSF is committed to this principle of diversity and deems it central to the programs, projects and activities it considers and supports. NSF is also committed to public access to publications and data, unless there are countervailing interests that prohibit or limit public access to data, including matters of personally identifiable information of research participants, privacy or other issues of vulnerability such as economic, social or other security interests, etc.). See Public Access to Results of NSF-Funded Research and Data Management for NSF SBE Directorate Proposals and Awards for more information.

The Linguistics Program supports basic science in the domain of human language, encompassing investigations of the grammatical properties of individual human languages, and of natural language in general. Research areas include syntax, semantics, morphology, phonetics and phonology. The program encourages projects that are interdisciplinary in methodological or theoretical perspective, and that address questions that cross disciplinary boundaries, such as (but not limited to): What are the psychological processes involved in the production, perception, and comprehension of language? What are the computational properties of language and/or the language processor that make fluent production, incremental comprehension or rapid learning possible? How do the acoustic and physiological properties of speech inform our theories of natural language and/or language processing? What role does human neurobiology play in shaping the various grammatical properties of language? How does language develop in natural learning contexts across the life-span? What social and cultural factors underlie language variation and change? Because NSF's mandate is to support basic research, the Linguistics Program does not fund research that takes as its primary goal improved clinical practice or applied policy, nor does it support work to develop or assess pedagogical methods or tools for language instruction. The Linguistics Program accepts proposals for a variety of project types: research proposals from scholars with PhDs or equivalent degrees, proposals for Doctoral Dissertation Research Improvement (LING-DDRI) awards, and CAREER proposals. We will also consider proposals for conferences. Funding requests for conference support should be submitted in accordance with the Conference Proposals section of Chapter II of NSF's Proposal & Award Policies & Procedures Guide (PAPPG) . NSF's Division of Behavioral and Cognitive Sciences (BCS), in partnership with the National Endowment for the Humanities and in collaboration with programs in other NSF Directorates, supports efforts to develop and advance knowledge and infrastructure that will enable the analysis of languages that are both understudied and at risk of falling out of use. In recognition of the critical relevance of these languages to understanding the range and limits of human linguistic and cultural variation, BCS accepts research and dissertation proposals in response to solicitations NSF Dynamic Language Infrastructure - NEH Documenting Endangered Languages (DLI-DEL) and Dynamic Language Infrastructure - Doctoral Dissertation Research Improvement Grants (DLI-DDRI) . For more information about Multidisciplinary Research and Training Opportunities, please visit the SBE Office of Multidisciplinary Activities web site.