U.S. National Science Foundation (NSF)

Society relies on chemical processes to turn raw materials into useful products. The Chemical Process Systems (CPS) program invests in fundamental research on chemical and biochemical processes to make them more efficient, sustainable, and resilient. New CPS technologies for manufacturing, biotechnology, critical minerals, energy, food, and other national priorities will help make the U.S. more competitive and secure. Research supported by the CPS program covers the full breadth of chemical and biochemical process innovation. It spans reaction engineering and molecular thermodynamics; reactor design; catalysis; electrochemical systems; separations; and process design. The program encourages proposals that connect the molecular scale to process and plant scales. The CPS program explores active-site structure and function, reaction mechanisms, in situ and operando characterization, durability, and device-level integration. Microreactors, membrane and catalytic reactors, atmospheric plasmas, and other novel configurations are of interest. The program supports research in catalysis and electrochemical systems to produce, use, and store energy, to reduce waste, to process polymers, and to synthesize fuels and chemicals. This includes process and materials innovation to support the nuclear fuel cycle. The CPS program also targets chemical and biological separations that are efficient and scalable. Research includes the design of membranes, sorbents, and specialized interfaces. Advances can be used in gas separations, the recovery of critical minerals, bioprocessing, and protein and water purification. The program supports research in process design and optimization that uses tools such as artificial intelligence, machine learning, and uncertainty quantification. CPS research also explores quantum information science and engineering; quantum simulation and sensing, for example, may accelerate the discovery of materials and improve process models. Partnerships: To spe

The Engineering Biological and Biomedical Systems (EBBS) program expands our understanding of biological and physiological systems, and it helps improve human health. For U.S. leadership in biotechnology, the engineering of biology is required at every scale. Engineering is needed for sensing biomarkers to making proteins to restoring functions of the body. In EBBS, fundamental mechanistic insights are combined with experimental and computational techniques. This approach helps develop platforms, devices, organisms, tissues, and processes that bring new understanding and control of biological functions. EBBS supports studies of mechanisms that drive the behavior of microbial populations and cells, and of therapeutic cells and tissues. This includes discovering the underlying engineering principles that are needed to capture the responses of biological systems and bioreactors. It also includes the creation of novel biosensing platforms and new optical imaging and modulation strategies. Research that enables the design of biological systems to sense and respond to novel stimuli is welcome. Similarly, projects leading to insight into tissue changes or injury, and to systems that imitate or restore the functions of tissues or organs are encouraged. Projects that advance rehabilitation engineering through new theories and approaches are supported by the EBBS program. Fundamental engineering research driven by the needs of persons with disabilities is encouraged. The EBBS program expands what is possible in biomanufacturing; research may advance biotechnology and/or health. EBBS research must enable improved biological processes, create novel biomedical technologies, or achieve new understanding of physiological or pathological processes. EBBS does not support proposals with a main goal of drug design, drug delivery, or the development of animal models of disease. Using existing models for experimental testing and validation is acceptable. Projects that focus on testi

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. *Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Other Federa

The EDU Core Research (ECR) program offers this ECR:Core solicitation and invites proposals for fundamental research (curiosity-driven basic research and use-inspired basic research) that contributes to the general, explanatory knowledge that underlies STEM education in one or more of the three broadly conceived Research Areas: Research onSTEM Learning and Learning Environments, Research on Broadening Participation in STEM fields, andResearch on STEM Workforce Development. Within this framework, the ECR program supports a wide range of fundamental STEM education research activities, aimed at learners of all groups and ages in formal and informal settings. Fundamental researchgenerates knowledge and understanding with the potential for broad relevance. The potential implications of ECR fundamental research for improving STEM education practice may be indirect and long-term rather than direct and immediate. Moreover, whether they include basic or use-inspired basic research, all successful ECR:Core proposals focus on the advancement or refinement of foundational knowledge for STEM education. The amount of funding and duration requested in proposals submitted to the ECR:Core solicitation should align with the maturity of the proposed work and the size and scope of the empirical effort. The solicitation has three levels of funding with a range of budget sizes, and proposals may request a duration of 3 to 5 years for any level: (1)Level I proposals may request up to $500,000; (2)Level II proposals may request up to $1,500,000; (3)Level III proposalsmay request up to $2,500,000. All proposals should justify the level of funding and duration in the project description.

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/). *Who May Submit Proposals: Proposals may only be submitted by the following: -In line with the program goals, ERI welcomes the submission of proposals to this funding opportunity from Institutions of Higher Education (IHEs) not currently classified as a Doctoral University with “Very High Research Activity” (R1 institutions) according to the 2021 Carnegie Classification:https://carnegieclassifications.acenet.edu/. These include two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Eligibility is based on Classification on the date of proposal submission deadline. NSF encourages submissions from Primarily Undergraduate Institutions (PUIs) and two-year colleges, and institutions in EPSCoR jurisdictions. *Who May Serve as PI: The PI of an ERI proposal must hold a doctoral degree in a field supported by NSF and must hold an appointment at an ERI-eligible institution. Postdoctoral fellow researchers are not eligible to serve as PI on an ERI proposal. At the time of the proposal submission deadline, the PI may not have been a PI or Co-PI on any current or prior awarded NSF research grant (including subaward) or have had research support from

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

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 encou

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. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with education

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 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). *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies

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 su

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 novel 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

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 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. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tri

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 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. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. §

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, l

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. *Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List A

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. *Who May Serve as PI: See "Limit on Number of Proposals per PI or Co-PI" below.

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.