Improving Undergraduate STEM Education: Education & Human Resources (IUSE: EHR) Program is sponsored by National Science Foundation (NSF). This program promotes novel, creative, and transformative approaches to generating and using new knowledge about STEM teaching and learning to improve STEM education for undergraduate students. It supports projects that bring recent advances in STEM knowledge into undergraduate education, adapt, improve, and incorporate evidence-based practices, and lay the groundwork for institutional improvement in STEM education. Professional development for instructors to ensure adoption of new and effective pedagogical techniques is a potential topic of interest.

Experiential Learning for Emerging and Novel Technologies (ExLENT) is sponsored by National Science Foundation (NSF). The ExLENT program supports experiential learning opportunities that provide individuals, including adult learners interested in re-skilling and/or upskilling, with crucial skills for emerging technology fields. It promotes cross-sector partnerships and aims to develop a workforce aligned with regional economies based on emerging technologies.

Fire Science Innovations through Research and Education (FIRE) program is sponsored by National Science Foundation (NSF). This program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It supports research that can inform risk management and response, adaptation, and resilience across infrastructures, communities, cultures, and natural environments. Relevant topics include developing novel materials and methods for retrofitting existing buildings and remediating buildings following wildfire and smoke events.

Structural and Architectural Engineering and Materials (SAEM) program is sponsored by U.S. National Science Foundation (NSF). The SAEM program supports fundamental research for advancing knowledge and innovation in structural and architectural engineering and materials that promotes a holistic approach to analysis and design, construction, operation, maintenance, retrofit, and repair of structures. This could involve research relevant to framing techniques or materials.

America's Seed Fund (SBIR/STTR) - Cybersecurity and Authentication is sponsored by U.S. National Science Foundation (NSF). Supports startups and small businesses to translate research into products and services, including cybersecurity and authentication, to secure national defense and protect the public. Includes research requiring privacy and security-preserving resources for artificial intelligence.

Innovations in Graduate Education (IGE) Program is sponsored by U.S. National Science Foundation (NSF). The IGE Program encourages the development and implementation of bold, new, and potentially transformative approaches to STEM graduate education training. It supports piloting, testing, and validating novel models or activities and examining systemic innovations with high potential to enrich and extend the knowledge base on effective graduate education approaches. The program addresses both workforce development and institutional capacity-building needs in graduate education.

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 solicitation supports innovative, high-risk/high-reward research that uses convergent and interdisciplinary approaches from computer and information science, engineering, mathematical sciences, and biomedical, social, behavioral, and economic sciences to address challenges in biomedical and public health research. AI in interventional radiology fits well within this scope.

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF). This interagency solicitation is a collaboration between NSF and NIH, supporting innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical and public health research. It encourages well-coordinated, convergent, and interdisciplinary approaches drawing from multiple domains of computer and information science, engineering, mathematical sciences, and the biomedical, social, behavioral, and economic sciences.

NSF STEM K-12 (STEM K-12) is sponsored by National Science Foundation (NSF). The NSF STEM K-12 program supports fundamental, applied, and translational research that advances STEM teaching and learning and improves understanding of education across the human lifespan and a range of formal and informal settings. This includes projects leveraging AI and emerging technologies to strengthen the U.S. STEM education and workforce.

Expanding K-12 Resources For AI Education is sponsored by U.S. National Science Foundation (NSF). This Dear Colleague Letter (DCL) invites supplemental funding proposals from existing NSF awardees with K-12 AI or computer science education experience. The aim is to refine, scale, evaluate, and/or implement established K-12 activities related to AI education. Proposed efforts should align with themes such as teacher professional development, curricula and instructional materials, and technology and tools for AI education.

Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). This interagency program supports innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical and public health research. It focuses on interdisciplinary AI and data science for biomedical challenges, telehealth analytics, and remote monitoring. The work must make fundamental contributions to two or more disciplines, such as computer or information sciences, engineering, mathematical sciences, and the biomedical, social, behavioral, and economic sciences, addressing a key health problem.

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 24-582: NSF Small Business Innovation Research / Small Business Technology Transfer Fast-Track Pilot Programs (SBIR-STTR Fast-Track) is sponsored by National Science Foundation (NSF). This Fast-Track Pilot Program falls under the NSF SBIR/STTR umbrella, soliciting proposals from small businesses developing game-changing technologies in broad technology areas based on groundbreaking scientific discoveries or significant engineering breakthroughs with significa…

Cybersecurity Innovation for Cyberinfrastructure (CICI) - Integrity, Provenance, and Authenticity for Artificial Intelligence Ready Data (IPAAI) is sponsored by National Science Foundation (NSF). Projects in this program area should enhance confidence and reproducibility in AI produced scientific results by improving the integrity, provenance, and authenticity of scientific datasets used by Artificial Intelligence systems. The overall objective of the CICI program is to advance scientific discovery and innovation by enhancing the security and privacy of cyberinfrastructure.

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.

Artificial Intelligence Grant – NSF SBIR is sponsored by National Science Foundation (NSF). The NSF SBIR Artificial Intelligence topic focuses on cutting-edge technologies in deep learning-based AI systems and AI-based hardware. It emphasizes next-generation AI technologies that are safe, reliable, fair, robust, privacy-preserving, and efficient. This includes novel AI hardware, sustainable AI for low-resource environments, and technologies for trustworthy AI.

Small Business Innovation Research (SBIR) Program - Medical Devices (MD) is sponsored by National Science Foundation (NSF). The Medical Devices topic within the NSF SBIR program aims to develop novel medical device platforms, introduce innovative medical technologies, or translate emerging scientific principles into health practice. Proposals should focus on leading-edge innovations, typically based on a discovery, new approach, or new scientific principle. Limited human subject clinical studies may be acceptable if they support feasibility or proof-of-concept objectives. The program does not support proposals for clinical trials to statistically demonstrate safety or efficacy or for regulatory purposes. Sub-topics include Diagnostic Imaging or Monitoring, General Medical Devices, Implantable, Manufacturing Processes or Prototyping Methods, Materials (non-biological), Procedural Technologies or Visualization, Rehabilitation, Wearables, and Women's Health.

Digital Health (DH) SBIR/STTR is sponsored by National Science Foundation (NSF). This program supports entrepreneurs and startups in developing innovative digital health technologies to improve physical or mental well-being, increase independence, and enhance healthcare delivery by improving efficiency, reducing costs, or improving outcomes. Technologies applying AI in healthcare, smart medical devices, and solutions for aging/disabled populations are included.

Learning and Cognition Technologies (LC) - NSF SBIR is sponsored by National Science Foundation (NSF). The Learning and Cognition Technologies topic supports entrepreneurs and startups in developing innovative and disruptive innovations in education and workforce development. This includes technologies applying AI in education or workforce development, training tools, and upskilling an aging workforce. The goal is to equip individuals for success in emerging industries and evolving roles.

Biological Technologies (BT) (SBIR/STTR) is sponsored by National Science Foundation (NSF). This Small Business Innovation Research (SBIR) topic covers a wide range of technology areas to advance engineering and science innovation across the biological spectrum. It focuses on using or modifying living organisms, systems, or biological processes to develop new technologies for biochemicals, and medical and agricultural products, contributing to a new bioeconomy and environmental sustainability.

Learning and Cognition Technologies (LC) SBIR/STTR is sponsored by National Science Foundation (NSF). This program supports entrepreneurs and startups developing innovative technologies that disrupt educational norms, challenge conventional methods of content delivery, and foster workforce development with measurable results, firmly anchored in foundational research. Technologies applying AI in education or workforce development, training tools, and upskilling an aging workforce are included.

Augmented Virtual and Mixed Reality (AV/VR/MR) - NSF SBIR is sponsored by National Science Foundation (NSF). This program provides grant funding for startups developing augmented and virtual reality technologies, including those applying AI in education or workforce development, training tools, upskilling, and platforms for shared experiences, virtual collaboration, and experiential le…

Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) is sponsored by National Science Foundation (NSF) / National Institutes of Health (NIH) / Food and Drug Administration (FDA). This program supports interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications, with a particular focus on digital, in silico models…

Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) is sponsored by NSF Directorate for Engineering, Directorate for Mathematical and Physical Sciences, Directorate for Computer and Information Science and Engineering. The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) is a grant from the NSF Directorates for Engineering, Mathematical and Physical Sciences, and Computer and Information Science and Engineering that funds interdisciplinary resear…

Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) is sponsored by National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (MPS). This program supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical technological innovation.

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.