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NSF FDT-BioTech Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation is sponsored by National Science Foundation with NIH and FDA. 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 de…
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Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) | NSF - U.S. National Science Foundation Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports interdisciplinary research projects that explore the mathematical and engineering foundations behind the development and use of digital twins in biomedical and healthcare applications.
Supports interdisciplinary research projects that explore the mathematical and engineering foundations behind the development and use of digital twins in biomedical and healthcare applications.
The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) program 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, with a particular focus on digital, in silico models used in the evaluation of medical devices and the relevance of the developed models in addressing current and emerging challenges affecting the development and assessment of biomedical technologies.
The goal of the FDT-BioTech initiative is to catalyze biomedical technological innovation through new foundational development of methods and algorithms relevant to digital twins and synthetic humans.
May 15, 2024 - DMS Virtual Office Hour April 22, 2024 - FDT-BioTech webinar Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Mathematical and Physical Sciences (MPS) Division of Mathematical Sciences (MPS/DMS) Directorate for Computer and Information Science and Engineering (CISE) Office of Advanced Cyberinfrastructure (CISE/OAC)
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. 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. 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.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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.
The FDT-BioTech program is a joint NSF NIH and FDA initiative that catalyzes biomedical technological innovation through foundational development of methods and algorithms relevant to digital twins and synthetic humans. The program 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 with a particular focus on digital in silico models used in the evaluation of medical devices and to advance regulatory sciences. Priority research areas include computational representations of physiological systems verification validation and uncertainty quantification transferability and generalizability across populations ethics security and privacy considerations and validation mechanisms for digital twin models. The program incorporates AI and machine learning as key enabling technologies for creating responsive digital twin models. All proposals must address regulatory science benefits and ethical implications. This program is distinct from the NSF SCH Smart Health program which focuses broadly on AI for health research and from ARPA-H programs which target specific clinical applications.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
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