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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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Or 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.
According to the current listing, 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. Confirm the full requirements in the official notice before applying.
The current listing shows 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. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) are due October 3, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NSF Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is funded by National Science Foundation (NSF) and National Institutes of Health (NIH). 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.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The solicitation lists 11 required documents: Project Summary (1 page), Project Description (15 pages max), Collaboration Plan (2-page max, required — proposals returned without review if missing), Data Management and Sharing Plan, Letters of Collaboration, and List of Project Personnel and Partner Institutions, among others (the full list is in the Required Documents section on this page). Check the official notice for formatting and page-limit rules.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is a joint NSF-NIH program supporting transformative, high-risk/high-reward research that develops novel AI, machine learning, data science, and engineering methods to address pressing biomedical and public health challenges. Projects are carried out by interdisciplinary teams and can receive up to $300,000 per year for up to four years ($1.2 million total). The program is jointly written, reviewed, and funded by three NSF directorates and more than twenty NIH institutes and centers, awarding roughly 10-16 projects per year.
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.
NSF/NIH Smart Health and Biomedical Research in the Era of AI and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) and National Institutes of Health (NIH). 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.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by National Science Foundation (NSF) & National Institutes of Health (NIH). This interagency program supports high-risk, high-reward advances in AI and data science for biomedical and public health research. Projects must cross disciplinary boundaries.
Innovation Grant is a grant from the Delta Dental of Arizona Foundation that funds nonprofit organizations pursuing unique, high-impact projects that improve health and wellness in Arizona communities. This two-year award supports original initiatives with measurable real-world impact, including programs serving underserved and uninsured populations through oral health education, disease prevention, and nutritional access. Projects must demonstrate the potential to make a meaningful difference in the community and stand apart from conventional approaches. Eligible applicants are Arizona-based nonprofit organizations. Awards total $100,000 per recipient over two years. The 2026 application cycle closed October 16, 2025, with recipients notified in late 2025 and funding made available shortly after.
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