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The NSF FDT-BioTech program, a joint initiative of the National Science Foundation, National Institutes of Health, and the Food and Drug Administration, 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 and healthcare applications.
The program has a particular focus on digital, in silico models used in the evaluation of medical devices. Projects combine AI and machine learning with mathematical sciences and domain knowledge to develop computational models that can simulate biological systems, predict treatment outcomes, and accelerate medical device evaluation.
Each project requires at least two collaborating Senior/Key Personnel with participation from both mathematical sciences and at least one domain knowledge discipline. The program runs annually with a deadline on the first Monday in May.
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Or search similar grants →According to the current listing, eligibility includes: Proposals accepted only from accredited Institutions of Higher Education (IHEs) located in the United States. Each PI or co-PI is limited to one proposal maximum per cycle. Minimum requirement of at least two collaborating Senior/Key Personnel with participation from both mathematical sciences and at least one domain knowledge discipline. Collaborative projects from multiple organizations must not exceed $1,000,000 total budget. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,000,000 per collaborative project from multiple organizations over up to 3 years. Total program funding approximately $4,000,000 to $5,000,000 annually across 6-10 awards. First cohort awarded over $6 million across seven projects. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF FDT-BioTech Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation are due May 3, 2027. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF FDT-BioTech Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation is funded by National Science Foundation, National Institutes of Health, and Food and Drug Administration. 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.
The NSF CyberAICorps Scholarship for Service (CyberAI SFS) program is a new solicitation (NSF 26-503) that combines AI and cybersecurity education and workforce development into a unified program. It replaces the prior CyberCorps SFS program with expanded AI focus, reflecting the critical intersection of artificial intelligence and cybersecurity. The program has two tracks: the Scholarship Track supports institutions in providing scholarships to students pursuing AI and cybersecurity careers in government service, with student stipends of $27,000/year (undergraduate) or $37,000/year (graduate), plus tuition and professional development allowances. Recipients commit to government service equal to the length of their scholarship. The Innovation Track funds transformative educational projects developing new curricula, instructional materials, professional development programs, experiential learning, and communities of practice in AI and cybersecurity. The program reflects the growing national need for professionals who understand both AI systems and cybersecurity, including using AI for cybersecurity defense and securing AI systems themselves. Two scholarship track competitions run in 2026: FY2026 (April 3 target) and FY2027 (July 21 hard deadline).
The HEAL Initiative's Studies to Enable Analgesic Discovery award (RFA-NS-25-023) puts federal money exactly where private capital won't go — the assay-building, screening, and hit-characterization stage of non-opioid pain therapeutics. It's a phased R61/R33, up to $350,000 in direct costs per year, with the next application deadline September 17, 2026. Here is how the two-phase structure works, who's eligible, and how to build a proposal that survives the R61-to-R33 milestone gate.
Read articleNew 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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