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NSF 24-561 recurs annually with full proposal deadline first Monday in May; next cycle May 3, 2027
The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) program is a tri-agency initiative by NSF, NIH, and FDA supporting inherently interdisciplinary research that underpins the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare applications.
The program funds advances in mathematics, statistics, computational sciences, and engineering required to develop responsive digital twin models incorporating artificial intelligence capabilities. Research areas include in silico models for medical device evaluation, synthetic human generation, and emerging challenges in biomedical technology development and assessment.
Awards are up to $1,000,000 for collaborative projects from multiple organizations over 3 years, with the program issuing 6 to 10 awards per cycle. The next deadline is May 4, 2026, with annual cycles on the first Monday of May thereafter. This program specifically targets the foundational computational methods that make biomedical digital twins possible rather than application-specific implementations.
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Or search similar grants →According to the current listing, eligibility includes: Interdisciplinary research teams at institutions eligible to receive NSF funding. Each individual may serve as PI or co-PI on no more than one proposal. Collaborative projects from multiple organizations encouraged. Standard NSF eligibility requirements apply including U.S. academic institutions and nonprofits. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,000,000 per collaborative project over 3 years. Total program funding estimated at $4,000,000 to $5,000,000 per fiscal year. Approximately 6 to 10 awards expected. 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. This is an annual program. 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 with NIH and FDA. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
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).
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