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NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). This joint NSF-NIH program supports innovative, high-risk/high-reward research at the intersection of artificial intelligence, data science, and biomedical or public health applications.
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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. academic institutions, nonprofits, and research organizations. Principal investigators should have expertise in both computing/AI and health domains or form interdisciplinary teams. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Up to $1,200,000 over 4 years (approximately $300,000 per year), with an estimated total of $15,000,000-20,000,000 of NSF funds invested. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is October 3, 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.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). This interagency program supports innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical and public health research. It focuses on interdisciplinary AI and data science for biomedical challenges, telehealth analytics, and remote monitoring. The work must make fundamental contributions to two or more disciplines, such as computer or information sciences, engineering, mathematical sciences, and the biomedical, social, behavioral, and economic sciences, addressing a key health problem.
Joint NSF/NIH interagency program (NSF 25-542) supporting transformative, high-risk/high-reward advances in AI and advanced data science for biomedical and public health research. Funds interdisciplinary teams developing novel methods to collect, sense, connect, analyze, and interpret health data from individuals, devices, and systems. Six priority themes: fairness and trustworthiness in health AI systems, transformative analytics using AI/ML for biomedical research, multimodal wearable and implantable biomarker sensing systems, cyber-physical systems for closed-loop health interventions, robotics for health outcomes, and biomedical image interpretation combining human perception with computational analysis. All proposals require a mandatory Collaboration Plan demonstrating cross-disciplinary integration.
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) and National Institutes of Health (NIH). This interagency program supports transformative high-risk, high-reward advances in computer and information science, engineering, mathematics, statistics, behavioral and/or cognitive research to address pressing questions in the biomedical and public health communities. It encourages scientific and engineering innovations by interdisciplinary teams that develop novel methods to intuitively and intelligently collect, sense, connect, analyze and interpret data from individuals, devices and systems to enable discovery and optimize health, leveraging advances in AI/ML and high-performance computing.