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The NSF FDT-BioTech program (NSF 24-561) supports interdisciplinary research at the intersection of AI, computational modeling, and biomedical innovation by funding the mathematical and engineering foundations behind digital twins and synthetic data for healthcare applications.
Digital twins — computational replicas of biological systems, patients, or medical devices — require advanced AI and machine learning methods for their development, calibration, and deployment. The program funds research on methods and algorithms relevant to digital twins and synthetic humans, including AI-driven in silico evaluation of medical devices and treatments.
Projects must be inherently interdisciplinary, combining expertise in mathematics, engineering, computer science, and biomedical domains. Collaborative projects across multiple organizations are encouraged and can receive up to $1 million in total funding over up to 3 years.
The program is administered by multiple NSF directorates including the Division of Mathematical Sciences and the Office of Advanced Cyberinfrastructure, reflecting its cross-cutting nature. The deadline recurs annually on the first Monday in May.
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Search similar grants →Based on current listing details, eligibility includes: Principal investigators at U.S. institutions of higher education and nonprofit research organizations. Each PI or Co-PI is limited to one proposal per competition cycle. Collaborative projects involving multiple organizations are accepted. Teams should demonstrate interdisciplinary expertise spanning mathematics, engineering, computer science, and biomedical sciences. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $1,000,000 per collaborative project. Total program budget: $4,000,000-$5,000,000 per cycle. Estimated 6-10 awards per cycle. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 4, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs (SBIR/STTR Phase I) is sponsored by U.S. National Science Foundation (NSF). The NSF SBIR/STTR programs provide non-dilutive funds for use-inspired research and development (R&D) of unproven, leading-edge, technology innovations that address societal challenges. These programs fund broadly across scientific and engineering disciplines.
Small Business Innovation Research / Small Business Technology Transfer Phase I Programs (SBIR/STTR Phase I) is sponsored by National Science Foundation (NSF). America's Seed Fund, powered by NSF, supports startups with research and development funding for unproven, leading-edge technology innovations that address societal challenges. This program broadly funds scientific and engineering disciplines. Specific sub-topics under 'Agricultural Technologies' include Food Waste Mitigation, Resilient Supply & Distribution, and 'Chemical Technologies' includes Food Processing, Chemicals and Agriculture, making it highly relevant for food and beverage technology, especially consumer app development related to these areas.