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SCH is the flagship joint NSF-NIH programme for biomedical AI, and its defining characteristic is that it is jointly written, jointly reviewed and jointly funded - proposals are assessed once by a panel drawn from both agencies rather than being shopped between them. Three NSF directorates and more than twenty NIH Institutes and Centers participate, which gives the programme unusually wide subject coverage.
The purpose is to support transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics and behavioural or cognitive research that address pressing questions in the biomedical and public health communities.
Core themes include fairness and trustworthiness in AI and machine learning applied to health, advanced analytics for biomedical and behavioural research, multimodal sensing systems for health monitoring, cyber-physical systems for health intervention automation, robotics for healthcare support, and biomedical image interpretation informed by human perception research.
The requirement that most often sinks otherwise strong proposals is structural rather than scientific: a project must make fundamental scientific or engineering contributions to two or more disciplines, and must include a mandatory collaboration plan.
An application that advances clinical practice by applying existing machine learning methods, without a methodological contribution back to computing, fails that test regardless of clinical merit. The programme now operates on twice-yearly target dates rather than hard deadlines, with target dates falling in early September and early February.
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Or search similar grants →According to the current listing, eligibility includes: Open to US institutions of higher education, both two- and four-year accredited, and US-based nonprofit non-academic research organisations. There are no restrictions on Principal Investigator eligibility, but an individual may participate as PI, co-PI or senior personnel on no more than two proposals per deadline. Proposals must make fundamental scientific or engineering contributions to two or more disciplines and must include a mandatory collaboration plan describing how the interdisciplinary team will work together - a project that applies existing AI methods to a clinical problem without contributing back to the computing or engineering literature does not meet the bar. Awards are up to 300,000 dollars per year for up to four years, a maximum of 1,200,000 dollars total, with 10 to 16 awards expected per cycle from an annual programme budget of 15 to 20 million dollars. Solicitation NSF 25-542 operates on twice-yearly target dates rather than hard deadlines; the most recent target date was 10 September 2026 and the next falls in early February 2027. Because target dates are advisory, proposals can technically be submitted at any time but are reviewed in batches, so submitting close to a target date materially shortens time to decision. Confirm the current target date, award ceiling and participating NIH Institute priorities in the live NSF 25-542 solicitation before preparing a submission, as participating institutes change between cycles. Confirm the full requirements in the official notice before applying.
The current listing shows awards are capped at 300,000 dollars per year for up to four years, giving a project ceiling of 1,200,000 dollars - hence amount_min 300,000, representing a single-year-equivalent award, and amount_max 1,200,000 for the full four-year term. NSF and NIH expect to make 10 to 16 awards per cycle against an annual programme budget of roughly 15 to 20 million dollars. The 300,000 dollar annual cap is a hard ceiling rather than a guideline, and it is the number that most often forces a redesign: interdisciplinary teams spanning a computing group and a clinical group frequently draft budgets assuming a standard NIH R01 scale and then have to cut, so build the team size to the cap from the start rather than trimming later. The joint funding structure also means the money can come from either agency depending on which institute or directorate takes the award, and that determines which set of post-award reporting rules applies - a detail worth clarifying with the cognisant programme officer before submission rather than after. 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), Solicitation NSF 25-542 are due February 4, 2027. 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), Solicitation NSF 25-542 is funded by U.S. National Science Foundation (NSF) jointly with the National Institutes of Health (NIH), with more than twenty NIH Institutes and Centers participating. 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 NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
PA-27-037 consolidates the Predoctoral to Postdoctoral Transition Award into a single parent announcement across 20 NIH components, with the next deadline December 8, 2026. The eligibility gate is not the science — it is a mandatory change of institution and mentor between the F99 and K00 phases.
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