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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.
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Or search similar grants →According to the current listing, eligibility includes: U.S. institutions of higher education and eligible non-profit research organizations; interdisciplinary teams spanning computer/information science, engineering, mathematics, statistics, and biomedical/health domains. Confirm the full requirements in the official notice before applying.
The current listing shows up to $300,000 per year for up to four years (project ceiling $1.2 million); approximately 10-16 awards per year totaling roughly $15-20 million annually. 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 (NSF) and National Institutes of Health (NIH). 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 Department of Defense FY2026 Defense University Research Instrumentation Program (DURIP) provides funding for U.S. universities to acquire research equipment and instrumentation in areas important to national defense, including AI and machine learning hardware. The program is administered jointly by the Army Research Office (ARO), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR), with approximately $34 million available and 95 awards anticipated. DURIP funds the acquisition of specialized computing hardware for AI/ML research (GPU clusters, TPUs, neuromorphic processors), robotics and autonomous systems testbeds, sensor arrays and data collection systems for machine learning training, high-performance computing infrastructure for defense-relevant AI research, and laboratory equipment for human-AI interaction studies. The program specifically supports equipment that enhances research-related education in DoD-priority disciplines. While general-purpose computing is not eligible, computing equipment directly supporting DoD-relevant AI research programs qualifies. No cost sharing is required.
Vinnova, Sweden's national innovation agency, funds projects developing applied AI solutions for Swedish industry through its Advanced Digitalization Programme. Each project can apply for between 2 and 10 million SEK (approximately $190,000 to $950,000 USD) covering up to 50% of eligible project costs. The total call budget is 60 million SEK. Projects run for 12-24 months and focus on two key areas: Intelligent Edge (AI for real-time application in the sensor chain) and AI-based decision support. All projects must address industrial needs and integrate gender equality and climate change perspectives. Scientific publications must be open access. A parallel call also funds AI and cybersecurity projects at 1-10 million SEK per project with a 50 million SEK total budget.
New NIH awards have fallen 34% in 2026, NSF is running months behind, and a proposed OMB rule would let political appointees terminate grants mid-stream. The funding environment for academic research has structurally changed. Here is a clear-eyed diversification strategy for PIs, research offices, and institutions that cannot wait for the political fight to resolve.
Read articleOMB's proposed rewrite of 2 CFR Part 200 would bar political appointees from deferring to peer reviewers and require senior-appointee sign-off on every discretionary grant. NIH new awards are already down about 34% in 2026. Here is what the merit-review changes actually say, how 'Gold Standard Science' becomes a scoring lever, why R1 universities are being written out of some solicitations, and what principal investigators and research offices should do before October 1.
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