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Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) (NSF 25-542) is sponsored by National Science Foundation (NSF) / National Institutes of Health (NIH). A joint NSF-NIH program supporting high-risk, high-reward advances in AI and data science for biomedical and public health research.
Projects must cross disciplinary boundaries, targeting teams pairing computer scientists with clinicians or public health researchers.
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Search similar grants →Key questions and narrative sections extracted from the solicitation.
Project Summary (1 page): Overview, Intellectual Merit, and Broader Impacts
Project Description (15-page limit): Must demonstrate fundamental contributions to two or more disciplines and address key biomedical or public health problems; must include an Evaluation Plan describing how success will be assessed
Collaboration Plan (2-page max): Describe interdisciplinary team collaboration and domain expertise
Scoring criteria used to review proposals for this grant.
Based on current listing details, eligibility includes: U.S.-based Institutions of Higher Education (IHEs) (two- and four-year accredited, including community colleges) and non-profit, non-academic organizations (independent museums, observatories, research laboratories, professional societies, and similar organizations). Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $1.2 million over four years ($300,000 per year) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. 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.
Past winners and funding trends for this program
Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) is sponsored by National Science Foundation (NSF) / National Institutes of Health (NIH) / Food and Drug Administration (FDA). This program supports 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…
Smart Health and Biomedical Research in the Era of AI and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) / National Institutes of Health (NIH). This joint NSF/NIH program offers significant opportunities for interdisciplinary teams to make transformative advancements in biomedical research and public health by supporting high-risk, high-reward projects that utilize artificial intelligence (AI), advanced data science, an…
Fire Science Innovations through Research and Education (FIRE) program is sponsored by National Science Foundation (NSF). This program invites innovative multidisciplinary and multisector investigations focused on convergent research and education activities in wildland fire. It supports research that can inform risk management and response, adaptation, and resilience across infrastructures, communities, cultures, and natural environments. Relevant topics include developing novel materials and methods for retrofitting existing buildings and remediating buildings following wildfire and smoke events.
The UKRI Policy Fellowships 2025, funded by the Economic and Social Research Council, offer 18-month placements for academics to co-design research with UK government and What Works Network host organizations. Awards range from £180,000 to £280,000 and support three fellowship tracks: core policy fellows, Natural Hazards and Resilience policy fellows, and What Works Innovation fellows. Applicants must hold a PhD or equivalent research experience, be based at a UKRI-eligible UK organization, and possess relevant subject matter or methodological expertise. Government-hosted positions target early to mid-career academics, while What Works fellowships welcome all career stages. Fellows work directly with policymakers to bridge academic research and policy development on pressing national and global challenges. The application deadline is July 15, 2025.