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SCH is the flagship interagency vehicle for biomedical AI in the United States and its defining feature is that it is jointly written, jointly reviewed and jointly funded by NSF and NIH - three NSF directorates alongside more than twenty NIH Institutes and Centers. That structure has a direct consequence for applicants: a proposal has to satisfy two review cultures at once.
It must advance the computational or engineering science in a way NSF recognises as fundamental, and it must address a pressing biomedical or public health question in a way NIH programme staff recognise as consequential. Proposals that read as a health application of off-the-shelf machine learning tend to fail the first test; proposals that read as methods work with a health dataset attached tend to fail the second.
The solicitation explicitly seeks transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, and behavioural or cognitive research, and the strongest submissions are genuinely co-designed by computational and clinical investigators from the outset rather than assembled from a methods group and a clinical collaborator late in the process.
Award sizes vary considerably with project type, running from roughly USD 300,000 for more focused efforts up to USD 2,000,000 for larger integrative projects, commonly over four to five years, with NSF investing on the order of USD 15,000,000 to USD 20,000,000 annually and participating NIH Institutes adding further funds.
Because so many NIH Institutes participate, alignment with a specific Institute's mission is a practical determinant of whether a strong proposal finds a funding home, and early contact with both NSF and relevant NIH programme officers is the single highest-value step before submission. The programme operates on an annual target date, with 10 September 2026 as the next opportunity.
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Or search similar grants →According to the current listing, eligibility includes: Proposals are submitted by US institutions of higher education and eligible non-profit organisations in accordance with standard NSF eligibility rules under solicitation NSF 25-542. The programme supports transformative, high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, and behavioural and cognitive research that address pressing questions in the biomedical and public health communities. Proposals are jointly written, jointly reviewed and jointly funded by NSF and NIH, involving three NSF directorates and more than twenty participating NIH Institutes and Centers, and must therefore demonstrate both fundamental computational or engineering novelty and clear biomedical or public health significance; purely applied deployments of existing methods and purely methodological work without a substantive health question are both poorly matched to the programme. Successful projects are typically co-designed from the outset by integrated teams spanning computational, engineering and clinical or public health expertise. Award sizes vary by project type and scope, ranging from approximately USD 300,000 for focused projects to approximately USD 2,000,000 for larger integrative projects, generally over four to five year periods; NSF anticipates investing approximately USD 15,000,000 to USD 20,000,000 annually in this solicitation with additional contributions from participating NIH Institutes and Centers. Because funding decisions depend heavily on alignment with the mission of a specific participating NIH Institute or Center, prospective applicants are strongly advised to contact both NSF programme directors and relevant NIH programme officers before preparing a submission. The programme runs on an annual target date, with the next submission opportunity on 10 September 2026. Confirm the full requirements in the official notice before applying.
The current listing shows awards typically range from approximately USD 300,000 to USD 2,000,000 in total, with larger integrative awards commonly in the USD 1,200,000 to USD 2,000,000 range over four to five years. NSF expects to invest approximately USD 15,000,000 to USD 20,000,000 annually in proposals submitted to this solicitation, with additional funding contributed by participating NIH Institutes and Centers. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF-NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) NSF 25-542 are due September 10, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF-NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) NSF 25-542 is funded by U.S. National Science Foundation in partnership with the National Institutes of Health (more than twenty NIH Institutes and Centers). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
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.
CISE Future Computing Research (Future CoRe, NSF 25-543) is the National Science Foundation's core foundational research program for computer and information science, and it is the single most accessible NSF pathway for investigator-initiated AI and machine learning research. The solicitation spans three participating divisions - Computing and Communication Foundations, Information and Intelligent Systems, and Computer and Network Systems - which together cover machine learning theory, algorithms, foundation model architectures, natural language processing, computer vision, robotics and intelligent systems, and the systems and hardware substrate that large-scale AI training and inference depend on. Awards run up to $1 million over four years, with typical projects landing between $150,000 and $250,000 per year. Unlike NSF's large center-scale AI competitions, Future CoRe funds single investigators and small teams, which makes it the realistic target for a faculty member starting or sustaining a generative AI research agenda. The program has two annual submission windows: the first Thursday in February and the second Thursday in September, with the September 2026 target date falling on 10 September 2026. Proposals may indicate the extent to which generative AI was used in preparing the proposal, per NSF guidance.
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