NSF Grants

Human-Computer Interaction (HC) is sponsored by National Science Foundation (NSF) SBIR. This topic supports entrepreneurs and startups in the early stages of developing innovative and novel Human-Computer Interaction (HCI) solutions. It focuses on designing computing systems that amplify human physical, cognitive, and social capabilities and translating research insights into commercializable applications. Technologies in this portfolio include multimedia and multimodal interfaces, brain-computer interfaces, intelligent and interactive user interfaces, affective computing, human state estimation, and methods for interaction with artificial intelligence.

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports high-risk, high-reward interdisciplinary projects that leverage AI, machine learning, and advanced data science to address pressing questions in biomedical and public health research. It seeks to advance fundamental scientific and engineering contributions across disciplines to solve key health problems.

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by NSF CISE. Supports the development of transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities.

Mathematical Biology Program is a grant from NSF that funds research in applied and computational mathematics with relevance to the biological and life sciences. The program supports projects across all areas of mathematical sciences that demonstrate strong integration between mathematics and biology. Successful proposals must show mathematical innovation, biological relevance and significance, and rigorous interdisciplinary methods. Projects may include development of new mathematical theories, methodologies, and computational tools aimed at advancing the life sciences. Eligible applicants are typically academic researchers and institutions. Award amounts and deadlines vary by submission cycle.

NSF 25-509: Emerging Mathematics in Biology (eMB) is a grant from NSF that funds integrative research projects applying innovative mathematical theories and techniques to significant biological questions. The program supports truly interdisciplinary work at the interface of mathematics, biology, and public health, encouraging novel use of mathematical tools to advance biological understanding and inform public health policy. Eligible applicants include accredited two- and four-year institutions of higher education with campuses in the United States. Full proposals are due March 1 annually, with total funding ranging from $2 million to $6 million across multiple awards.

America's Seed Fund NSF SBIR Phase I is a grant from the National Science Foundation that provides non-dilutive seed capital of up to ,000 to early-stage startups for research and development of deep technologies based on discoveries in fundamental science and engineering. Since 1977, the program has funded approximately 400 companies per year across nearly all technology areas and markets, including artificial intelligence, energy, medical devices, robotics, and semiconductors. NSF takes no equity in funded companies, allowing founders to retain full control over their team, direction, and intellectual property. Applications are evaluated based on technological innovativeness, commercial potential, and possible societal impact. Eligibility is limited to for-profit U.S. small businesses with fewer than 500 employees. The program encourages participation from first-time entrepreneurs across all 50 states and U.S. territories.

Fire Science Innovations through Research and Education (FIRE) Program is sponsored by National Science Foundation (NSF). The FIRE program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It seeks to advance wildland fire research and develop new directions, including the development of novel materials, methods, and technologies for retrofitting buildings and remediating structures after wildfire and smoke events.

Fire Science Innovations through Research and Education (FIRE) is a grant from the NSF Directorate for Engineering that funds convergent research, education, and networking activities to improve understanding, prediction, and community resilience to wildland fire. The program addresses the growing complexity of wildland fire and its interactions with communities, infrastructure, and natural environments. Supported activities include fundamental fire science research, interdisciplinary approaches linking natural and social sciences, and education initiatives to build the fire science workforce. Eligible applicants include academic institutions and non-profit organizations. Applications were due April 7, 2026. Award amounts vary based on project scope.

Fire Science Innovations through Research and Education (FIRE) program is sponsored by U.S. National Science Foundation (NSF). The FIRE program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. All areas of science, engineering, and education supported by the U.S. National Science Foundation are included.

Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) Program - Space (SP) Topic is sponsored by National Science Foundation (NSF). The NSF SBIR/STTR program, also known as America's Seed Fund, offers non-dilutive funding to U. S. -based startups and small businesses developing high-risk, high-impact technologies with strong commercial potential.

Digital Health (DH) Topic is sponsored by National Science Foundation (NSF) SBIR/STTR. Supports entrepreneurs and startups at the earliest stages of developing innovative digital health technologies that improve physical or mental well-being, increase independence and quality of life, or improve healthcare delivery. Technologies applying AI in healthcare, smart/connected medical devices, and assistive technologies are included.

Digital Health (DH) Grant (NSF SBIR) is sponsored by National Science Foundation (NSF). This grant supports entrepreneurs and startups in the earliest stages of developing innovative, differentiated, and novel technologies that aim to improve physical or mental well-being or health, enable or assist individuals to increase or regain independence and quality of life, and improve healthcare delivery, including efficiency, reducing cost, or improving outcomes. Technologies in this portfolio include those applying AI in healthcare, personalized medicine, EHR/EMR, clinical decision support, and smart/connected medical devices. Specific sub-topics include Healthcare Workflow, Economics, and Delivery.

The NSF FDT-BioTech program (NSF 24-561) supports interdisciplinary research at the intersection of AI, computational modeling, and biomedical innovation by funding the mathematical and engineering foundations behind digital twins and synthetic data for healthcare applications. Digital twins — computational replicas of biological systems, patients, or medical devices — require advanced AI and machine learning methods for their development, calibration, and deployment. The program funds research on methods and algorithms relevant to digital twins and synthetic humans, including AI-driven in silico evaluation of medical devices and treatments. Projects must be inherently interdisciplinary, combining expertise in mathematics, engineering, computer science, and biomedical domains. Collaborative projects across multiple organizations are encouraged and can receive up to $1 million in total funding over up to 3 years. The program is administered by multiple NSF directorates including the Division of Mathematical Sciences and the Office of Advanced Cyberinfrastructure, reflecting its cross-cutting nature. The deadline recurs annually on the first Monday in May.

National Quantum and Nanotechnology Infrastructure (NQNI) is a grant from the National Science Foundation (NSF), Division of Undergraduate Education (DUE) that funds the development and expansion of shared research infrastructure supporting quantum information science and nanotechnology education and research. The program aims to build a national network of accessible, state-of-the-art facilities enabling faculty, students, and researchers to conduct cutting-edge work in these emerging fields. Eligible applicants are typically institutions of higher education and related organizations involved in STEM education and research. The application deadline is May 14, 2026.

Law and Science Dissertation Grant (LSDG) Program is sponsored by Arizona State University (funded by NSF SBE #2016661). The Law and Science Dissertation Grant (LSDG) program provides financial support for graduate students in diverse law-and-science disciplines to conduct their doctoral dissertation research. Although administered by ASU, any doctoral student in law and science at a U.S. institution is eligible to apply.

Law and Science Dissertation Grant (LSDG) program is sponsored by National Science Foundation (NSF), administered by Arizona State University. This program provides financial support for graduate students in diverse law-and-science disciplines to conduct their doctoral dissertation research. The program is funded by an award from the NSF's Law & Science program.

AERA-NSF Grants Program (Research Grants) is sponsored by National Science Foundation (NSF) (administered by American Educational Research Association - AERA). This program, funded by NSF, offers small grants to support field-initiated research using large-scale designed and administrative data sets from federal agencies. The goal is to enhance the capability of the education research community and promote rigorous education research.

AERA-NSF Grants Program: Dissertation Grants is a grant from the American Educational Research Association (AERA) and National Science Foundation (NSF) that funds advanced doctoral students to analyze data and complete their dissertations in education research. The program supports field-initiated research using large-scale designed and administrative datasets from NCES, NSF, and other federal agencies, with a focus on producing policy- and practice-relevant studies in STEM education. Over 600 graduate students and early career scholars have received support through this program over three decades. Eligible applicants are advanced doctoral students who have not yet earned their degree. Research Grants for postdoctoral and doctoral-level scholars are also available. The 2026 proposal deadline is May 20, 2026.

Artificial Intelligence (AI) SBIR/STTR Phase I is sponsored by National Science Foundation (NSF). This NSF SBIR/STTR topic focuses on cutting-edge AI technologies that are safe, reliable, fair, robust against adversaries, privacy-preserving, and efficient. It also includes novel hardware technologies for sustainable AI, edge devices (i.e., intelligent systems on a chip for applications such as voice assistants), and AI technologies that lead to better hardware systems. The program funds high-risk, high-impact technologies with strong commercial potential.

Small Business Innovation Research Program (NSF SBIR/STTR) is sponsored by National Science Foundation (NSF). The NSF SBIR/STTR program funds high-risk, high-impact technologies developed by U.S. startups. The Artificial Intelligence (AI) topic specifically emphasizes next-generation AI technologies, including cutting-edge hardware technologies needed for sustainable AI, novel devices and architectures, and smart and secure edge devices, which directly relate to AI microelectronics.

Quantum Information Technologies (QT) is sponsored by NSF Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR). This NSF SBIR/STTR topic focuses on innovations in information and communications technologies that fundamentally rely on quantum mechanical properties and interactions. This includes developing faster, more efficient, or more secure information processing and communications, with an emphasis on robustness, reliability, scalability, and practical operation. Examples include qubit generation and detection, error correction, and quantum cryptography.

Cloud and High-Performance Computing (CH) SBIR/STTR Program is sponsored by National Science Foundation (NSF). This NSF SBIR/STTR program funds small businesses developing innovations that result in substantial improvements to cloud computing or high-performance computing platforms. This includes improvements in computing power, efficiency, energy management, data storage, latency, data integrity and availability, and cost, which can be software or hardware-based.

Cloud and High-Performance Computing (CH) - NSF SBIR is sponsored by National Science Foundation (NSF). This NSF SBIR topic focuses on innovations that significantly improve cloud computing or high-performance computing platforms, including aspects like computing power, efficiency, and energy management, which can result from software- or hardware-based innovations, including thos…

SBIR/STTR Artificial Intelligence Topic is sponsored by National Science Foundation (NSF). Funds small business innovation and research in cutting-edge artificial intelligence technologies, especially emphasizing next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient in terms of computational resources, energy, and training data size. This includes cutting-edge hardware technologies needed for sustainable AI.

Doctoral Dissertation Research Improvement Grants (DDRIGs) to the Arctic Sciences Section, Office of Polar Programs (OPP) is sponsored by National Science Foundation (NSF) Office of Polar Programs (OPP) Arctic Sciences Section. This program invites investigators at U. S. organizations to submit proposals for Doctoral Dissertation Research Improvement Grants to conduct dissertation-level research about and related to the Arctic.

The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.

TechAccess: AI-Ready America is sponsored by National Science Foundation (NSF) Directorate for Computer and Information Science and Engineering (CISE). This program, supported by NSF CISE, focuses on making America AI-Ready. Given CISE's emphasis on broadening participation in computing and developing a diverse workforce, this program is likely to include initiatives that benefit underrepresented populations in tech.

TechAccess: AI-Ready America is sponsored by NSF (National Science Foundation). This program aims to expand access to AI knowledge, tools, training, and capacity building for all Americans, including youth, so they can participate in and benefit from emerging AI opportunities. It focuses on strengthening coordination around AI readiness, leveraging existing networks, and addressing gaps to advance AI readiness. The program aligns with priorities around promoting AI literacy and integrating AI into education.

NHMRC-SNSF Joint Research Projects (JRP) Call for Proposals 2026 is sponsored by National Health and Medical Research Council (NHMRC) & Swiss National Science Foundation (SNSF). This joint call invites research proposals addressing key challenges related to the use of Artificial Intelligence (AI) in healthcare for populations of diverse sex, gender or sexual orientations or other underrepresented population groups.

AI Forge: Accelerating AI breakthroughs for national security is sponsored by DARPA and U.S. National Science Foundation (NSF). AI Forge is a joint research and development program by DARPA and NSF, in collaboration with NIST, to catalyze breakthroughs in AI for national security. It aims to accelerate progress towards AI that is reliable, predictable, understandable, and secure in contested environments.

NSF SBIR NewActive Small Business Innovation Research is a grant from the National Science Foundation (NSF) that funds high-risk, high-impact research and development by U.S. small businesses with strong commercial and societal potential. Awards reach up to 305,000 dollars for Phase I. Eligible companies must have fewer than 500 employees, be located in the United States, and have at least 50% equity owned by U.S. citizens or permanent residents. NSF does not fund companies majority-owned by venture capital, private equity, or hedge funds. All funded work must be performed in the United States. The principal investigator must be employed at least 20 hours per week by the applicant company. Applications begin with a Project Pitch submission, with funding decisions typically issued approximately six months after full proposal submission.

Behavioral Health Integration – Medications for Opioid and Alcohol Use Disorder is sponsored by Oklahoma State Department of Health (OSDH) - Oklahoma Rural Health Transformation Program (RHTP). This funding opportunity expands access to medications for opioid use disorder (MOUD) and medications for alcohol use disorder (MAUD) for rural communities in Oklahoma. It supports evidence-based provider upskilling and/or integrated/alternative care delivery models (e.g., hub-and-spoke, mobile units, telehealth-enabled approaches). Awards must benefit rural populations (55,000 or fewer).

Scientific Instrumentation for Sensing and Imaging is sponsored by National Science Foundation (NSF). Part of the NSF X-Labs initiative, this funding opportunity seeks proposals to build the next generation of scientific instruments, drawing on quantum sensing, artificial intelligence-driven computational imaging, and entirely new chemical modalities. This can include developing platform technologies for advanced imaging, potentially incorporating self-supervised learning for image processing and quantitative analysis.

TechAccess: AI-Ready America is sponsored by U.S. National Science Foundation (NSF), USDA National Institute of Food and Agriculture (NIFA), U.S. Department of Labor Employment and Training Administration (DOL ETA), U.S. Small Business Administration (SBA). This program aims to expand access to AI knowledge, tools, training, and capacity building for all Americans.

Accelerating Research Translation (ART) Program is sponsored by National Science Foundation (NSF). Aims to bolster and increase the scale and pace of the nation's translational research capacity by supporting institutions of higher education to build the capacity and infrastructure needed to strengthen and scale the translation of basic research outcomes into impactful and ta…

NSF 26-503: Artificial Intelligence and Cybersecurity Education Innovation and Scholarship for Service - Scholarship Track (FY 2027 competition) is sponsored by National Science Foundation (NSF). The CyberAICorps Scholarship for Service (CyberAI SFS) program welcomes proposals that address AI and cybersecurity. The Scholarship Track provides funding to establish, or to continue, scholarship for service programs with integrated AI and cybersecurity components.

Artificial Intelligence and Cybersecurity Education Innovation and Scholarship for Service - Scholarship Track (NSF 26-503) is sponsored by U.S. National Science Foundation (NSF). This program addresses the talent shortfall in AI and cybersecurity by welcoming proposals that focus on education and workforce development. It funds academic institutions to establish or continue scholarship-for-service programs with integrated AI and cybersecurity components.

The NSF Faculty Early Career Development Program (CAREER) is a grant from the National Science Foundation that funds early-career faculty who demonstrate potential to serve as academic role models and lead advances in research and education. Awards range from $400,000 to over $500,000 across five years, with a minimum of $400,000 for the Chemistry directorate. The program is also the NSF component of the Presidential Early Career Awards for Scientists and Engineers (PECASE). Eligible applicants are untenured, tenure-track assistant professors at U.S. institutions who are within 10 years of earning their PhD, have not previously received a CAREER award, and have not exceeded three career submissions. The next deadline is July 22, 2026.

NSF 26-502: NSF Trailblazer Engineering Impact Award (TRAILBLAZER) is sponsored by NSF Directorate for Engineering, Emerging Frontiers and Multidisciplinary Activities. NSF 26-502: NSF Trailblazer Engineering Impact Award (TRAILBLAZER) is a grant from the NSF Directorate for Engineering that supports individual investigators proposing novel research with the potential to catalyze new industries or make significant progress toward national engin…

Small Business Innovation Research / Small Business Technology Transfer Phase I, Phase II, Fast-Track Programs (SBIR/STTR): A Pilot Emphasis on Scientific Instrumentation (NSF 26-511) is sponsored by National Science Foundation (NSF). This NSF SBIR/STTR program emphasizes scientific instrumentation, investing in technologies that open entirely new fields of discovery, including novel experimental platforms and advanced scientific equipment.

Small Business Innovation Research (SBIR) / Small Business Technology Transfer (STTR) Phase I, Phase II, Fast-Track Programs: A Pilot Emphasis on Scientific Instrumentation is sponsored by U.S. National Science Foundation (NSF). This NSF SBIR/STTR pilot emphasis area invests in startups and small businesses developing next-generation instrumentation, novel experimental platforms, and other scientific equipment to advance scientific discovery, including those enabling AI-driven discoveries.

Small Business Innovation Research / Small Business Technology Transfer Phase I Programs (NSF 24-579) is sponsored by National Science Foundation (NSF). America's Seed Fund powered by NSF provides non-dilutive grants for use-inspired research and development (R&D) of unproven, leading-edge technology innovations with potential for societal and economic impacts. The NSF SBIR/STTR programs fund broadly across scientific and engineering disciplines, including AI and data science.

Robotics (R) - NSF Small Business Innovation Research Program (SBIR) is sponsored by National Science Foundation (NSF). This specific SBIR topic focuses on robot intelligence and experiential learning, high-performance processors or hardware for situational awareness and improved artificial intelligence. It encourages innovations in voice, obstacle and image recognition, emotional response, and hand-eye coordination. Robotic applications in healthcare, smart drones, and personal caregiving are also relevant.

Small Business Technology Transfer (STTR) Program is sponsored by U.S. Small Business Administration (SBA) and various federal agencies (e.g., NSF, DOD, DOE, NIST). The STTR program is similar to SBIR, expanding funding opportunities in the federal innovation R&D arena. A key difference is its emphasis on public/private sector partnerships, encouraging joint ventures between small businesses and non-profit research institutions.

NSF Small Business Innovation Research / Small Business Technology Transfer Phase I, Phase II, Fast-Track Programs: Developing Deep Technologies that Advance U.S. Competitiveness and Security is sponsored by NSF. Supports startups and small businesses in transforming high-risk technologies into commercially impactful products and services that strengthen U. S. innovation, drive economic growth, create jobs, and expand the nation's scientific and technical workforce.

Artificial Intelligence (AI) - NSF Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) is sponsored by U.S. National Science Foundation (NSF). This program focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware, emphasizing next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient. It explicitly includes Computer Vision Based AI Technologies. Small businesses can receive non-dilutive funding for high-risk, high-impact technologies with strong commercial potential.

Artificial Intelligence Grant (SBIR/STTR) is a grant from the U.S. National Science Foundation that funds early-stage R&D in artificial intelligence and other deep technology areas for small businesses. Through America's Seed Fund, NSF provides up to $275,000 in Phase I funding with no equity taken, allowing founders to retain full control of their intellectual property and company direction. Eligible applicants are U.S.-based small businesses with fewer than 500 employees and at least 50% U.S. citizen or permanent resident ownership. Applications for the new solicitation cycle open June 2, 2026, with proposals due July 27, 2026.

SBIR/STTR Phase I Programs (America's Seed Fund): A Pilot Emphasis on Scientific Instrumentation is sponsored by National Science Foundation (NSF). NSF is launching a pilot emphasis area within its SBIR/STTR programs to fund startups developing enabling technologies such as next-generation scientific instrumentation, experimental platforms, and related equipment—especially to support new and AI-driven discovery areas.

NSF ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) is sponsored by National Science Foundation (NSF). NSF ACCESS provides U. S. -based researchers with free access to dozens of High-Performance Computing (HPC) systems, including GPU clusters. Explore allocations require a one-page abstract and are approved quickly for benchmarking and pilot experiments.

Rural Clinical Fellowship for Advanced Practice Providers and Other Clinicians (Rural Health Transformation Program) is sponsored by Minnesota Department of Health - Office of Rural Health and Primary Care (via federal Rural Health Transformation Program). This RFP supports the development of rural clinical fellowship programs to prepare and train advanced practice providers, behavioral healthcare professionals, and oral healthcare professionals to deliver comprehensive rural clinical care.

Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) - Maximize Allocations is sponsored by National Science Foundation (NSF). The NSF ACCESS program provides U. S. -based researchers with free access to High-Performance Computing (HPC) systems, including GPU clusters. Maximize allocations are for the largest awards and follow a semi-annual review cycle.

NSF ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support) provides access to dozens of high-performance computing systems including GPU clusters at no cost for academic research and education. The program replaced XSEDE in 2022 and offers tiered allocation levels from small-scale pilot experiments to large-scale research campaigns. Recent hardware upgrades through the NAIRR Pilot added NVIDIA H100 GPUs at multiple sites. Particularly valuable for AI/ML researchers needing GPU time for model training, inference, and large-scale experiments without existing funding.

National Science Foundation Engineering & Computer Science Scholarship is sponsored by College of Lake County (funded by NSF). This scholarship, funded by the National Science Foundation, supports students pursuing associate's degrees in Engineering or Computer Science with the goal of transferring to a four-year university. Scholars receive financial support, tutoring, advising, mentoring, and professional society membership. The program encourages applications from underrepresented groups.

Law & Science (LS) Program is sponsored by U.S. National Science Foundation (NSF). The Law & Science program supports 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. Topics include, but are not limited to, legal decision making.

Correctness for Scientific Computing Systems (CS2) is sponsored by National Science Foundation (NSF). Correctness for Scientific Computing Systems (CS 2 ) is a joint program of the National Science Foundation (NSF) and the Department of Energy (DOE). The program addresses challenges that are both core to DOE’s mission and essential to NSF’s mission of ensuring broad scientific progress. The program’s overarching goal is to elevate correctness as a fundamental requirement for scientific computing tools and tool chains, spanning low-level libraries through complex multi-physics simulations and emerging scientific workflows. At an elementary level, correctness of a system means that desired behavioral properties will be satisfied during the system’s execution. In the context of scientific computing, correctness can be understood, at both the level of software and hardware, as absence of faulty behaviors such as excessive numerical rounding, floating-point exceptions, data races deadlocks, memory faults, violations of specifications at interfaces of system modules, and so on. The CS 2 program puts correctness on an equal footing with performance, the focus of current scientific computing research. This program envisions the necessity of proving correctness even in performant scientific computing systems. Such correctness proofs themselves might rely upon multiple factors, including correctness of static and runtime program analyses. Recognizing that many scientific computing applications are inherently statistical, use probabilistic or randomized algorithms, and/or deal with uncertain data, probabilistic notions of correctness may be needed. It is also critical to realize that correctness guarantees are provided with respect to some pre-defined system model. For many reasons, including misspecification, approximation, and defect, the state space allowed by real systems might depart from that model. When this happens, the ability to probe the system to isolate the discrepancy is a key challenge in many domains. CS 2 requires close and continuous collaboration between researchers in two complementary areas of expertise. One area is scientific computing, which, for this solicitation, is broadly construed to include: models and simulations of scientific theories; management and analysis of data from scientific simulations, observations, and experiments; libraries for numerical computation; and allied topics. The second area is formal reasoning and mechanized proving of properties of programs, which, for this solicitation, is broadly construed to include automatic/interactive/auto-active verification, runtime verification, type systems, abstract interpretation, programming languages, program analysis, program logic, compilers, concurrency, stochastic reasoning, static and dynamic testing, property-based testing, and allied topics. Correctness for Scientific Computing Systems (CS2). Program guideline: NSF 24-571. Upcoming due date listed in NSF feed.

EPSCoR Research Infrastructure Improvement Program: EPSCoR Research Incubators for STEM Excellence (E-RISE) is sponsored by U.S. National Science Foundation (NSF). E-RISE invites innovative proposals that will lead to the development and implementation of sustainable broad networks of individuals, institutions, and organizations, transforming the STEM research capacity and competitiveness in an EPSCoR jurisdiction.

EPSCoR Research Infrastructure Improvement Program: EPSCoR Research Incubators for STEM Excellence (E-RISE) is sponsored by National Science Foundation (NSF). 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 invites innovative proposals within the chosen research area that will lead to 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 project  should 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. EPSCoR Research Infrastructure Improvement Program: EPSCoR Research Incubators for STEM Excellence (E-RISE). Program guideline: NSF 25-522. Upcoming due date listed in NSF feed.

ECosystem for Leading Innovation in Plasma Science and Engineering (ECLIPSE) is sponsored by National Science Foundation (NSF). Plasma science is a transdisciplinary field of research where fundamental studies in many disciplines, including plasma physics, plasma chemistry, materials science, and space science, come together to advance knowledge for discovery and technological innovation.  The primary goal of the EC osystem for  L eading  I nnovation in  P lasma  S cience and  E ngineering (ECLIPSE) program is to identify and capitalize on opportunities for bringing fundamental plasma science investigations to bear on problems of societal and technological need within the scope of science and engineering supported by the participating NSF programs. The ECLIPSE meta-program has been created to foster an inclusive community of scientists and engineers, an ecosystem spanning multiple NSF Directorates, in the pursuit of translational research at the interface of fundamental plasma science and technological innovation.  The ECLIPSE program builds on the long history of NSF leadership in supporting multi-disciplinary research in plasma science and engineering, and is intended to enhance organizational unity within NSF, and potentially with other funding agencies, in considering proposals and supporting projects that may otherwise struggle to find a natural home within the existing hierarchy of Directorates, Divisions, and programs within the Foundation. Examples of topical areas within the scope of the ECLIPSE program include but are not limited to: Plasma surface interactions, with applications to , e.g., advanced manufacturing, materials processing, and catalysis. Atmospheric pressure plasmas and microplasmas with applications to , e.g., microelectronics, plasma agriculture, environmental remediation, and other clean and decarbonized energy goals enabled by electrification of the chemical industry. Dusty plasmas with applications to , e.g., development of nanomaterials, aerosols, and functionalized surface coatings. Novel sensor development for highly non-equilibrium plasmas with applications to , e.g., cubesat-based geospace measurements and industrial plasma diagnostics. Novel computational modeling for multi-component and/or multi-phase plasma systems with applications to , e.g., space weather prediction and plasma reactor design. Novel studies of plasmons in nano-photonics and nano-optics with applications to , e.g., sub-THz wireless communication and photocatalytic chemical processes. New chemical measurement science for characterizing processes occurring in plasmas and using plasmas as part of measurement systems with applications to , e.g., analysis of environmental contaminants or identification of forensic evidence. Study of fundamental chemical reactions and mechanisms in plasmas with applications to , e.g., novel chemical synthesis. Proposals submitted for consideration by this program should address societal or technological needs within the scope of science and engineering supported by the National Science Foundation.  Proposals addressing technology development primarily supported by other US government funding agencies are not eligible for consideration and may be returned without review.  Proposers are strongly encouraged to contact the cognizant Program Officers if they are unsure of the suitability of a project to this program. Proposals submitted for consideration by the ECLIPSE program should satisfy the following criteria: (1) clearly articulate the fundamental scientific and/or engineering challenge in plasma science and engineering that may be relevant to more than one NSF program; and (2) provide a substantive discussion of how a resolution of the stated scientific and/or engineering challenge will address specific societal and/or technological needs identified as priorities by the research communities, policymakers and/or other stakeholders. Depending on the nature of the proposal, the latter may be described as the Intellectual Merit or the Broader Impact of the proposed activity.  ECosystem for Leading Innovation in Plasma Science and Engineering (ECLIPSE). Upcoming due date listed in NSF feed.

Project Proposal Competition: Sustainable Development and Climate Change in the Amazon Region is sponsored by German-Brazilian Science and Technology Network (GERBRAS ScienceNet), the Amazon Programme, and the Sustainable Development Research and Practice Division (SDRP) within the Research and Transfer Center Sustainable Development and Climate Change Management (FTZ-NK) of HAW Hamburg. This competition fosters German-Brazilian cooperation in research and innovation related to sustainable development and climate change in the Amazon Region.

Health and Extreme Weather Research Award Program is sponsored by National Institutes of Health (NIH) / National Science Foundation (NSF) through the Natural Hazards Center at the University of Colorado Boulder. This NIH-NSF funded program offers awards to support the collection of perishable, health-relevant data within six months of extreme weather events.

Biological Oceanography (BioOce) is sponsored by National Science Foundation (NSF). The Biological Oceanography Program supports fundamental research in biological oceanography and marine ecology   in environments ranging from estuarine, coastal, and open ocean systems to the deep sea, as well as in the Great Lakes.   Proposals submitted to the Program must have a compelling context in population, community, or ecosystem ecology or oceanography, as well as address topics that will contribute significantly to the understanding of marine or Great Lakes ecosystems. The Program supports interdisciplinary research and often co-reviews and co-funds projects with various programs in the   Division of Ocean Sciences   and the   Directorate of Biological Sciences   (BIO), among others.   Details on research topics funded by the Program, including supplements, RAPIDS, and EAGERS, can be found by selecting the link under Related URLS titled: “Additional Program Information.” To view research projects funded by the Program select the link below titled “What Has Been Funded (Recent Awards Made Through This Program, with Abstracts).” Biological Oceanography (BioOce). Program guideline: PD 23-1650. Upcoming due date listed in NSF feed.

Physical Oceanography is sponsored by National Science Foundation (NSF). The Physical Oceanography Program supports research on a wide range of topics associated with the structure and movement of the ocean, with the way in which it transports various quantities, with the way the ocean's physical structure interacts with the biological and chemical processes within it, and with interactions between the ocean and the atmosphere, solid earth and ice that surround it. Physical Oceanography. Program guideline: PD 98-1610. Upcoming due date listed in NSF feed.

Chemical Oceanography is sponsored by National Science Foundation (NSF). The  Chemical Oceanography  Program 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. Chemical Oceanography. Program guideline: PD 98-1670. Upcoming due date listed in NSF feed.

Physical Oceanography is sponsored by National Science Foundation (NSF) Division of Ocean Sciences (GEO/OCE). This program supports research into the structure and movement of the ocean, how the ocean transports various materials, how the seafloor and other geologic features interact with marine life and chemistry, and how the ocean interacts with the atmosphere, solid Earth, and ice th…

NSF Dynamic Language Infrastructure - NEH Documenting Endangered Languages (DLI-DEL) is sponsored by National Science Foundation (NSF) and National Endowment for the Humanities (NEH). This funding partnership 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.

AI Forge Program: University Research Capabilities for Artificial Intelligence (AI) Strategic Thrusts is sponsored by Defense Advanced Research Projects Agency (DARPA) and National Science Foundation (NSF). A jointly developed program by DARPA and NSF to catalyze breakthroughs in AI for national security, focusing on aligning government, academia, and industry around foundational research to accelerate advances in AI interpretability, AI control, and adversarial robustness.

Research Experiences for Undergraduates (REU) is sponsored by National Science Foundation (NSF). 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 . Research Experiences for Undergraduates (REU). Program guideline: NSF 23-601. Upcoming due date listed in NSF feed.

AI Forge Program: University Research Capabilities for Artificial Intelligence (AI) Strategic Thrusts Request for Information (RFI) is sponsored by Defense Advanced Research Projects Agency (DARPA) and National Science Foundation (NSF). A jointly developed program by DARPA and NSF to catalyze breakthroughs in AI for national security, focusing on aligning government, academia, and industry around foundational research to accelerate advances in AI interpretability, AI control, and adversarial robustness. This RFI is for university research capabilities.

Methodology, Measurement, and Statistics (MMS) Program is sponsored by National Science Foundation (NSF). The MMS Program supports the development of innovative analytical and statistical methods and models for the social, behavioral, and economic sciences. It seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields.

RHTP 5.3 Modification of Existing Clinical Facilities for Mental Health Crisis is sponsored by Nebraska Department of Health and Human Services (DHHS) (Federal - Rural Health Transformation Program). This RFA provides funding for equipment and enhancements to hospitals and behavioral health providers to expand crisis response, stabilization, and substance use withdrawal services in rural areas.

Pathways to Enable Secure Open-Source Ecosystems (PESOSE) is sponsored by National Science Foundation (NSF) Directorate for Geosciences (GEO). While not directly focused on climate risk, this program supports advancing Artificial Intelligence (AI) Agent Ecosystems. Research that leverages AI for climate risk assessment, environmental modeling, or developing open-source tools for environmental consulting could be relevant.

Pathways to Enable Secure Open-Source Ecosystems (PESOSE) is sponsored by National Science Foundation (NSF); Directorate for Technology, Innovation and Partnerships; and other sponsors. The PESOSE program funds the development, expansion, and security of open-source ecosystems to foster innovation and resilience. This can be relevant for organizations working on open-source AI.

Chemical Systems and Solutions (CSS) is sponsored by National Science Foundation (NSF). This program supports experimental and computational research investigating fundamental chemistry questions in complex systems, including indoor air chemistry and the chemical behavior of contaminants. While not solely focused on sensors, projects that involve developing advanced chemical sensors to address these fundamental questions would be relevant.

Pathways to Enable Secure Open-Source Ecosystems (PESOSE) is sponsored by National Science Foundation (NSF). 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 plan  the establishment of an OSE, 2)  establish   and 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. Pathways to Enable Secure Open-Source Ecosystems (PESOSE). Program guideline: NSF 26-506. Upcoming due date listed in NSF feed.

Pathways to Enable Secure Open-Source Ecosystems (PESOSE) (NSF 26-506) is sponsored by National Science Foundation (NSF). This program aims to harness the power of distributed open-source development to address challenges of national, societal, and economic importance. Proposals should clearly describe a build and test infrastructure, and procedures to address quality control and security of new content.

Activate Fellowship is sponsored by Activate (supported by NSF, DOE, and others). This two-year fellowship transforms scientists and engineers into founders, empowering them to reinvent the world by bringing their research to market. It provides funding, technical resources, unparalleled support, and mentorship from a network of scientists, engineers, investors, and commercial partners. The program is designed for early-stage science entrepreneurs with hardware-based technology innovations.

AI Forge Initiative for University Research on AI Interpretability, Control, and Adversarial Robustness is sponsored by Defense Advanced Research Projects Agency (DARPA) and U.S. National Science Foundation (NSF). The AI Forge initiative is a university-only research forum that funds Project Ventures focusing on AI interpretability, AI control, and adversarial robustness. It aims to accelerate trustworthy and secure foundation-model and frontier-AI research at U.S. universities by pairing academic teams with a rapid, milestone-driven venture structure. The program is designed to solve critical AI challenges for national security.

NSF 26-506: Pathways to Enable Secure Open-Source Ecosystems (PESOSE) is a grant from the National Science Foundation that funds the planning, building, and securing of sustainable open-source ecosystems that translate research tools into widely used, resilient technologies. The program supports open-source software, hardware, machine learning models, programming languages, and data platforms designed to address national and societal challenges while strengthening U.S. innovation, economic competitiveness, and national security. PESOSE supports work that moves open-source science and engineering research products toward safe, sustainable, and broadly accessible ecosystems. Proposals must comply with NSF PAPPG requirements, and awards are subject to updated research security policies effective 2025.

Tribal Colleges and Universities Program (TCUP) is sponsored by National Science Foundation (NSF). 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, TCUP aims to increase Native individuals' participation in STEM careers, improve the quality of STEM programs at TCUP-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 dur Tribal Colleges and Universities Program (TCUP). Program guideline: NSF 21-595. Upcoming due date listed in NSF feed.

Pathways to Enable Secure Open-Source Ecosystems is sponsored by National Science Foundation (NSF). Supports establishing, expanding, and securing open-source ecosystems for science and engineering, including infrastructure to make open-source research products safe, sustainable, and widely accessible.[2] This can strongly support open science data sharing infrastructure when framed around open-source platforms and tools for data access, interoperability, and security.[2]

Small Business Innovation Research (SBIR) Program is sponsored by U.S. Small Business Administration (SBA) and participating federal agencies (e.g., NIH, NSF, DOE, DOD). The SBIR program, also known as America's Seed Fund, encourages small businesses to explore their technological potential and provides the incentive to profit from its commercialization. It offers non-dilutive capital for high-impact research and development (R&D) with commercialization potential.

Small Business Technology Transfer (STTR) Program is sponsored by U.S. Small Business Administration (SBA) and participating federal agencies (e.g., NIH, NSF, DOE, DOD). The STTR program mirrors the SBIR program but requires formal collaboration between the small business and a non-profit research institution. It expands funding opportunities in the federal innovation research and development arena, encouraging technology transfer through cooperative research.

Medical Devices (MD) - Small Business Innovation Research (SBIR) is sponsored by National Science Foundation (NSF). This program supports small businesses in developing novel medical device platforms, innovative medical technologies, or translating emerging scientific principles into health practice. It focuses on leading-edge innovations based on new discoveries or scientific principles.

IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments (IUSE/PFE: RED) is sponsored by National Science Foundation (NSF). 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 skil IUSE/Professional Formation of Engineers: Revolutionizing Engineering Departments (IUSE/PFE: RED). Program guideline: NSF 24-564. Upcoming due date listed in NSF feed.

NSF NRT Advancing Ethical AI Through Convergent Research supports interdisciplinary graduate training programs that prepare PhD and master's students to research and develop ethical, trustworthy AI systems. Funded programs span fairness, privacy, safety, inclusivity, AI auditing, AI policy, sociotechnical AI research, and human-centered AI. Each training program engages multiple departments (computer science, engineering, social sciences, humanities, law, public policy) and produces a new generation of AI researchers prepared to address equity and well-being. Funded sites have included UT Austin's NRT-AI and Stony Brook's Bias-NRT. Awards provide approximately $3M over 5 years to support graduate trainees, curriculum development, professional development, and convergent research projects. Strong fit for university consortia building interdisciplinary AI ethics graduate programs.

A Science of Science Approach to Analyzing and Innovating the Biomedical Research Enterprise is sponsored by NSF Social, Behavioral and Economic Sciences (SBE) Directorate. This program, a collaboration between NSF and NIH, seeks proposals that advance the understanding of the biomedical research enterprise using scientific expertise from the science of science policy research community.

Computer and Information Science and Engineering (CISE): Future Computing Research (Future CoRe) Programs is sponsored by U.S. National Science Foundation Directorate for Computer and Information Science and Engineering (NSF CISE). This program supports research and education projects developing new knowledge across all aspects of computing, communications, and information science and engineering.

EDU Core Research (ECR: Core) is sponsored by National Science Foundation (NSF) - Directorate for STEM Education (EDU). The ECR: Core program supports fundamental research that contributes to the general, explanatory knowledge that underlies STEM education in one or more of three broadly conceived Research Areas: Research on STEM Learning and Learning Environments, Research on Broadening Particip…

Future Computing Research (Future CoRe) Programs is sponsored by National Science Foundation (NSF) - Directorate for Computer and Information Science and Engineering (CISE). The CISE Directorate supports research and education projects that develop new knowledge in all aspects of computing, communications, and information science and engineering through the Future CoRe programs.

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) (NSF 25-542) is sponsored by National Science Foundation (NSF) / National Institutes of Health (NIH). This interagency program supports transformative, high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral, and/or cognitive research to address pressing questions in biomedical and public health communities. It focuses on scientific and engineering innovations by interdisciplinary teams developing novel methods to collect, sense, connect, analyze, and interpret data to enable discovery and optimize health.

Computer and Information Science and Engineering (CISE): Future Computing Research is sponsored by U.S. National Science Foundation (NSF). This program supports research and education projects that develop new knowledge across all aspects of computing, communications, and information science and engineering. It includes the Information Integration and Informatics (III) program, which specifically supports innovative research on computational methods for the full data life cycle.

Computer and Information Science and Engineering: Future Computing Research (Future CoRe) is sponsored by National Science Foundation (NSF) - Division of Computer and Network Systems (CNS). This program supports research in computer and information science and engineering related to future computing. The NSF CNS specifically supports research on computer and network systems, cyber-physical systems, and cybersecurity.

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is a joint NSF-NIH program supporting transformative, high-risk/high-reward research that develops novel AI, machine learning, data science, and engineering methods to address pressing biomedical and public health challenges. Projects are carried out by interdisciplinary teams and can receive up to $300,000 per year for up to four years ($1.2 million total). The program is jointly written, reviewed, and funded by three NSF directorates and more than twenty NIH institutes and centers, awarding roughly 10-16 projects per year.

CISE Future Computing Research (Future CoRe) is sponsored by National Science Foundation (NSF) Division of Information and Intelligent Systems. This program is the primary home for computer science and AI proposals within the NSF. It funds both small and medium projects focused on future computing research. Small proposals have no fixed deadline, while medium proposals have target dates.

Computer and Information Science and Engineering : Future Computing Research (Future CoRe) is sponsored by NSF Directorate for Computer and Information Science and Engineering (CISE). This program supports foundational and interdisciplinary research across all aspects of computing, communication, and information science and engineering to advance the future of technology, systems, and human-centered innovation.

Computer and Information Science and Engineering: Future Computing Research (Future CoRe) is sponsored by National Science Foundation (NSF) Directorate for Computer and Information Science and Engineering (CISE). The NSF CISE Directorate supports research and education projects that develop new knowledge in all aspects of computing, communications, and information science and engineering, including Algorithmic Foundations, Computer Systems Research, and Software and Hardware Foundations.

The NSF CISE Future Computing Research (Future CoRe) program supports research in computing and communication foundations, intelligent systems, and network systems. The program funds innovative research that advances the frontiers of computing including artificial intelligence, machine learning, computer vision, natural language processing, and robotics. This is one of NSF's largest computing research programs with $280 million in total budget. Projects can address fundamental computing challenges, novel AI architectures, scalable intelligent systems, and next-generation network infrastructure.

SBIR Phase I — US Small Business Innovation is sponsored by US Federal Government (11 agencies including NIH, DOE, NSF, DoD, DARPA). The Small Business Innovation Research (SBIR) program provides early-stage funding for highly innovative R&D projects. Active funding areas include blockchain for federal applications, decentralized identity, AI safety, and quantum computing. It is non-dilutive and open to US-based small businesses.

Probability Program (PD-18-1263) is sponsored by U.S. National Science Foundation (NSF). The Probability Program supports research on the theory and applications of probability, including discrete probability, stochastic processes, and Markov processes. Research in probability involving applications to other areas of science and engineering is especially encouraged. Bayesian decision support systems are inherently probabilistic, making this a relevant avenue for foundational research.

NSF Translation to Practice (NSF TTP) - NSF TTP-Translate (NSF TTP-T) is sponsored by National Science Foundation (NSF). The NSF TTP program focuses on real-world applications of all areas of Science, Technology, Engineering, and Mathematics (STEM). Proposers can tailor their research and/or innovation activities to solve specific problems faced by consumers, industries, and/or governments.