STEM Grants in Michigan

The opportunity for the Federal Aviation Administration (FAA) Center of Excellence for Alternative Jet Fuel and Environment (AJFE) was awarded in 2013 to the ASCENT cooperative aviation research organization. ASCENT is a coalition of 16 leading US research universities committed to improving the understanding of aviation noise and emissions and the modeling of aviation systems. ASCENT is co-led by Washington State University and the Massachusetts Institute of Technology (https://ascent.aero/). Any new grant opportunities under AJFE are open and available only to the university members of ASCENT.”

TheChemical OceanographyProgram supports research into the chemistry of the oceans and the role of the oceans in global geochemical cycles. Areas of interest include chemical composition, speciation, and transformation; chemical exchanges between the oceans and other components of the Earth system; internal cycling in oceans, seas, and estuaries; and the use of measured chemical distributions as indicators of physical, biological, and geological processes.

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.

COE for Technical Training and Human Performance

The program in Foundations supports research in mathematical logic and the foundations of mathematics, including proof theory, recursion theory, model theory, set theory, and infinitary combinatorics. Conferences Principal Investigators should carefully read the program solicitation "Conferences and Workshops in the Mathematical Sciences" (link below) to obtain important information regarding the substance of proposals for conferences, workshops, summer/winter schools, and similar activities. Conference and workshop proposals should be submitted eight months before the requested start date.

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.

The Combinatorics program supports research on discrete structures and includes algebraic, enumerative, existential, extremal, geometric, and probabilistic combinatorics, including graph theory. Conferences Principal Investigators should carefully read the program solicitation "Conferences and Workshops in the Mathematical Sciences" (link below) to obtain important information regarding the substance of proposals for conferences, workshops, summer/winter schools, and similar activities. Conference proposals must be submitted at least six months in advance of the conference, and in the same fiscal year (which begins October 1) if possible.

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.

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 supportsresearch 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 Analysis Program supports research in analysis. Areas of current activity include complex, harmonic, and real analysis; dynamical systems and ergodic theory; functional analysis; mathematical physics; operator theory and operator algebras; partial differential equations and calculus of variations. Conferences Proposals to the Analysis 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. To facilitate timely notification of the availability of support, proposals for conferences, workshops, and similar activities should be submitted 8 months in advance of the start date of the proposed event.

The U.S. Military Academy at West Point's mission is "to educate, train, and inspire the Corps of Cadets so that each graduate is a commissioned leader of character committed to the values of Duty, Honor, Country and prepared for a career of professional excellence and service to the Nation as an officer in the United States Army." The United States Military Academy is located at West Point, New York. USMA executes research to enhance the education of cadets, develop the faculty professionally, and address important issues facing the Army and the Nation. In addition, the Academy conducts research and analysis in emerging fields that may realize novel or vastly improved Army capabilities. At West Point, research is organized and administered through centers and institutes, most of which reside within academic departments. These centers and institutes, affiliated with each other through the Academy Research Council (ARC), coordinated and supported by the Academic Research Division (ARD), provide the infrastructure necessary to tackle the nation’s and the world’s most challenging problems. Our research centers and institutes bring context to the classroom, are central to our vibrant and pioneering faculty, and are one way West Point connects to the Army and to the Nation. Our students are driven, our faculty is world-class, and through our centers, scholars and scientists thrive and produce their best work. Cadets regularly win Best Paper Awards at national and international graduate-level conferences, our faculty hold fellowships and chairmanships in their discipline's national organizations and our products are deployed to the soldier. In addition to applied research, there are centers and institutes at West Point that focus on other aspects of the USMA mission. The USMA BAA identifies topics of interest to the USMA departments, directorates, and research centers and institutes. These groups focus on executing in-house research programs, with a significant emphasis on collaborative research with other organizations. The groups fund a modest amount of extramural research in certain specific areas, and those areas are described in this BAA. The USMA BAA seeks proposals from institutions of higher education, nonprofit organizations, state and local governments, foreign organizations, foreign public entities, and for-profit organizations (i.e., large and small businesses) for research based on the following campaigns: Socio-Cultural; Information Technology; Ballistics, Weapons, and Protections; Energy and Sustainability; Materials, Measurements, and Facilities; Unmanned Systems and Space; Human Support Systems; and Artificial Intelligence, Machine Learning, and Quantum Technologies. Proposals are sought for cutting-edge innovative research that could produce discoveries with a significant impact to enable new and improved Army technologies and related operational capabilities and related technologies. The specific research areas and topics of interest described in this document should be viewed as suggestive, rather than limiting.

The TIP Office intends to announce its 2020 Funding Opportunity for the annual awards competition process in the upcoming weeks. The TIP Office is finalizing language for the annual awards competition process that includes a number of regional and thematic priorities for funding globally. Recognizing the hard work and effort that is involved in developing applications for funding, the TIP Office is notifying organizations that may be interested in submitting applications that a funding opportunity will be posted in the upcoming weeks. Organizations eligible to apply for this funding opportunity include U.S.-based and foreign non-profits, public international organizations, institutions of higher learning, and for-profit organizations. The 2020 TIP Office Funding Opportunity will be posted on SAMS Domestic, grants.gov, and the TIP Office website. Organizations interested in applying for funding may consider reviewing the information on the TIP Office’s Annual Awards Competition Process in preparation for the funding opportunity. Please note, this is a notice of intent only; an announcement will be made in the upcoming weeks when the 2020 Funding Opportunity is posted. We are not accepting applications at this time.

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 ProposalTarget 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 ProposalTarget 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 FAA hereby announces its continuing interest in receiving applications for aviation research grants and cooperative agreements to pursue the long-term growth and short-term technical needs of civil aviation, under this funding opportunity. Eligibility of applicants for the award of an aviation research grant varies depending on the nature of the proposer's organization, as well as the character of the research being proposed. In general, colleges, universities, and other non- profit research institutions under Section 501(c)(3) of Title 26 of United States Code, are eligible to apply for an aviation research grant. The FAA Aviation Research Grants Program encourages and supports innovative, advanced research of potential benefit to the long-term growth of civil aviation and commercial space transportation. The pursuit of basic and applied research in scientific and engineering disciplines that have the potential to further knowledge and understanding on a broad front of emerging technologies is crucial to the realization of this goal. The intent is to encourage applied research and development to enhance technology assimilation, transfer, and development in the FAA. The FAA Aviation Research Grants Program does not require the immediate application to Research and Development (R&D) programs, although this may occur in some cases. The FAA encourages the submission of proposals that embrace the entire spectrum of physical, chemical, biological, medical, psychological, mathematical, and engineering sciences. The following list illustrates topics of interest to those who may consider applying for a grant under this funding opportunity: 1. Capacity and Air Traffic Control Technology 2. Communications, Navigation, and Surveillance 3. Aviation Weather 4. Airports 5. Aircraft Safety Technology 6. Human Factors and Aviation Medicine 7. Systems Science/Operations Research For more information, please carefully review FAA Notice of Funding Opportunity 20-01, and any supporting attachments.

The Algebra and Number Theory program supports research in algebra, algebraic and arithmetic geometry, number theory, and representation theory. Conference proposals The Algebra and Number Theory program also provides support for conferences, workshops, summer/winter schools, and similar activities. Proposals should be submitted to PD 20-1264 using the "Conference" proposal type in research.gov. Proposals with budgets not exceeding $50,000, which in accordance with NSF policy can be reviewed internally, should be submitted: in May for events that will take place in January through April of the following year in October for events that will take place in May through December of the following year. In order to allow time for external review, proposals with budget requests exceeding $50,000 should be submitted nine to twelve months before the event is scheduled to take place.

A. STATEMENT OF OBJECTIVES This Funding Opportunity Announcement (FOA) is to award multiple cooperative agreements to accredited United States (U.S.) two- and four-year colleges and universities (Institutions of Higher Education (IHEs)) to receive and administer scholarship and fellowship funding—provided through the University Nuclear Leadership Program (UNLP) and as administered by the Department of Energy, Office of Nuclear Energy (DOE-NE)—on behalf of selected students attending these U.S. IHEs. The selection of students to receive scholarships and fellowships through the program will occur via a separate DOE-NE process. A.1 BACKGROUND AND OBJECTIVES UNLP works to attract qualified nuclear science and engineering students (NS&E) to nuclear energy professions by providing undergraduate level scholarships and graduate level fellowships. The scholarships and fellowships are focused on two-, four-year, and graduate programs in science and engineering disciplines related to nuclear energy such as nuclear engineering, mechanical engineering, electrical engineering, chemistry, health physics, nuclear materials science, radiochemistry, applied nuclear physics, nuclear policy, radiation protection technology, nuclear power technology, nuclear maintenance technology, nuclear engineering technology, computer science, cybersecurity, nuclear safety, nuclear operations, mechanical and electrical maintenance, and radiation protection. NE’s mission is to advance nuclear energy science and technology to meet U.S. energy, environmental, and economic needs. NE has identified the following goals to address challenges in the nuclear energy sector, help realize the potential of advanced technology, and leverage the unique role of the government in spurring innovation: • Keep existing U.S. nuclear reactors operating • Deploy new nuclear reactors • Secure and sustain our nuclear fuel cycle • Expand international nuclear energy cooperation Collectively, all NE-sponsored activities support the Department’s priorities to combat the climate crisis, create clean energy jobs with the free and fair chance to join a union and bargain collectively, and promote equity and environmental justice by delivering innovative clean energy technologies for nuclear energy systems. UNLP supports NE’s Nuclear Energy University Program (NEUP), which enables outstanding, cutting-edge, and innovative research at U.S. IHEs through the following: • Integrating research and development (R&D) at U.S. IHEs, national laboratories, and industry to revitalize nuclear education and support NE’s Programs • Attracting the brightest students to the nuclear professions and supporting the nation’s intellectual capital in science and engineering disciplines • Improving U.S. IHE’s infrastructure for conducting R&D and educating students • Facilitating knowledge transfer to the next generation of workers Educating undergraduate and graduate students in NS&E will: • Support the ongoing need for personnel who can develop and maintain the nation’s nuclear power technology • Enhance the R&D capabilities of U.S. IHEs • Fulfill national demand for highly trained scientists and engineers to work in NS&E areas

The U.S. Army Research Office (ARO) in partnership with NSA’s Laboratory for Physical Science (LPS) is soliciting Incubator, Collaboration, and Fellowship research proposals for participation in the LPS Qubit Collaboratory (LQC). The mission of the LQC can be captured in three broad goals: 1) pursue disruptive fundamental research and enabling technologies with a focus on qubit development for quantum computing and other applications (such as sensing); 2) grow deep, collaborative partnerships to tackle the most difficult and relevant long-term problems in quantum information science and technology; and 3) build a quantum workforce of tomorrow through research experiences in government at LPS and at LQC partners. The LQC will offer a mechanism for collaborative research between LPS and academia, industry, FFRDCs, and Government Laboratories to advance foundational and transformative research on challenging problems that have hindered progress in quantum information processing and associated technologies. The goal of this BAA is to seek proposals that bring together expertise from the public and private sectors and their respective research infrastructures to advance solutions that may be best approached as a collaborative team. A Collaboratory is “a center without walls, in which the nation’s researchers can perform their research without regard to physical location, interacting with colleagues, accessing instrumentation, sharing data and computational resources, [and] accessing information in digital libraries. This BAA introduces LQC Research Thrusts ( A.1.1 ) which are the technical areas of interest—which will be updated periodically—where partners of the LQC will pursue joint research with LPS through Incubator ( A.1.2 ) and Collaboration ( A.1.3 ) collaborative agreements. The LQC BAA also fulfills the Government’s overarching interest--through the proposed research and on-site research experiences--in creating and training a workforce in quantum science and technology, generating pathways of solutions that feed technology development, establishing partnerships, and creating transition opportunities. In further support of training through research, Section A.1.4 calls for Quantum Computing Research (QuaCR) Graduate and Postdoctoral Fellowships for US citizens working in areas of interest. Substantial progress on solving the most difficult and long-term Quantum Information Science & Technology (QIST) research problems that unleash further rapid progress in the field will constitute LQC success. Examples of such research problems include (but are not limited to): limits of performance due to device design, material selection, and/or control, the exploration of alternative qubit physics (e.g., different approaches to qubit encoding or types of gates) and lowering of barriers to such approaches, advances in materials that improve qubit gate fidelity, reducing the overhead of classical components in quantum information technology and optimizing classical performance, and the exploration of applications of quantum technologies to new domains. Three categories of proposals are sought for this BAA: 1.Incubator opportunities seek partnership proposals from single investigators and small research groups, including teaching colleges, who may have unique skillsets to contribute toward the pursuit of the research thrusts presented in A.1.1. Incubator proposals may also be the development of concepts into a detailed technical research approach to advance solution of problems of high interest to quantum information science research. Incubator proposals would avail themselves of the collaboration opportunities with LPS research staff and infrastructure made available at the Laboratory for Physical Sciences (LPS) to lay the groundwork for concepts that may be suitable for a Collaboratory proposal or responses to other DoD quantum information science research opportunities. 2.Collaboratory proposals seek research proposals that bring together a strong significant collaboration--researchers from academia, industry, FFRDCs, and/or Government Laboratories--to pursue long-term projects focused on fundamental problems of interest to qubit development and/or associated science and technology. These collaborative groups will propose to work together in a focused manner for a period of time expected to be one to three years in order to demonstrate a proof-of-concept experiment and/or theory exploration to determine the feasibility of their creative idea. 3.QuaCR Research Fellowship proposals seek to support talented U.S. citizen graduate students and postdoctoral researchers in the field of quantum information processing (primary interest) and quantum sensing (secondary interest). Applicants with a background from either within or outside QIS are encouraged. The proposed research areas are described in this BAA and must enhance active Quantum Information Science research efforts being supported by the Army Research Office and/or LPS. Research fellows are encouraged to complete an LPS Internship during their graduate career or visit during their postdoctoral fellowship. Funding Opportunity Title: LPS Qubit Collaboratory Special Research Topics Announcement: W911NF21S0009-SPECIALNOTICE-1 The U.S. Army Combat Capabilities Development Command (DEVCOM), Army Research Laboratory (ARL)-Army Research Office (ARO) is looking for proposed research and development solutions under the Broad Agency Announcement (BAA) W911NF21S0009-2 for Basic and Applied Scientific Research in Quantum Computing. The title for this Special Notice is “LPS Qubit Collaboratory Special Topics.” Upon receipt, compliant proposals will be reviewed through a technical and programmatic process in accordance with the evaluation criteria referenced in the W911NF21S0009-2 LQC BAA to determine which proposal may be awarded Grant, Cooperative Agreement, or Procurement Contract under this topic.

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.

The Fishing Safety Research Grant Program established by The Coast Guard Authorization Act of 2010 (P.L. 111-281), as amended by the Howard Coble Coast Guard and Maritime Transportation Act of 2014 (P.L. 113-281), is intended to provide funding to individuals in academia, members of non-profit organizations and businesses involved in fishing and maritime matters, and other persons with expertise in commercial fishing safety. The funding will be used to support research on improving the occupational safety of workers in the commercial fishing industry. This includes: improving vessel design; developing and improving emergency and survival equipment; enhancing vessel monitoring systems; improving communication devices, de-icing technology, and severe weather detection. In order to support and administer the grant program, the Coast Guard and NIOSH signed a Memorandum of Understanding on May 17, 2018. While the Coast Guard, along with the Occupational Safety and Health Administration (OSHA), provides regulatory oversight for safety and health matters within the commercial fishing industry, NIOSH is an agency operating under the Centers for Disease Control and Prevention (CDC) with the mission of generating new knowledge in occupational safety and health and transferring that knowledge into practice to prevent worker injury, illness and death. NIOSH conducts and funds scientific research, develops methods to prevent occupational hazards, develops guidance and authoritative recommendations, translates scientific knowledge into products and services, disseminates information, identifies factors underlying work-related disease and injury and responds to requests for workplace health hazard evaluations. NIOSH has an extensive history of conducting research to understand and to reduce hazards in the commercial fishing industry. This research has largely been conducted in close collaboration with crews, industry and the US Coast Guard. To learn more about NIOSH’s work in commercial fishing safety and health, visit https://www.cdc.gov/niosh/topics/fishing/default.html. Research objectives supported by NIOSH include, but are not limited to, the following: identification and investigation of the relationships between hazardous working conditions and associated occupational injuries and fatalities; development of more sensitive means of evaluating hazards at work sites; development of methods for measuring early markers of injuries and fatalities; development of new protective equipment and engineering control technology to reduce work-related injuries and fatalities; development of work practices that reduce the risks of occupational hazards; and evaluation of the technical feasibility or application of a new or improved occupational safety procedure, method, technique, or system, including assessment of economic and other factors that influence their diffusion and successful adoption in workplaces.