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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.
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Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) | NSF - U.S. National Science Foundation Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) Status: Waiting for new publication 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 high-risk, high-reward interdisciplinary research that combines computing, engineering, data science and behavioral and cognitive sciences to tackle biomedical and public health challenges and drive transformative health innovations.
Supports high-risk, high-reward interdisciplinary research that combines computing, engineering, data science and behavioral and cognitive sciences to tackle biomedical and public health challenges and drive transformative health innovations.
The purpose of this interagency program solicitation is to support the development of 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.
Transformations hinge on 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.
Solutions to these complex biomedical or public health problems demand the formation of interdisciplinary teams that are ready to address these issues, while advancing fundamental science and engineering. Updates and announcements General Correspondence email sch-correspondence@nsf. gov sch-correspondence@nsf.
gov sch-correspondence@nsf. gov sch-correspondence@nsf. gov sch-correspondence@nsf.
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gov February 27, 2025 - Bringing Mathematical and Statistical Foundations to… October 29, 2024 - Smart Health Frontiers: Combating Cancer with Advanced… July 16, 2024 - Smart Health Frontiers: Precision Medicine Through Engineering May 16, 2024 - Information and Intelligent Systems (IIS) Office Hours March 5, 2024 - Smart Health Symposium- Technology to Improve the Lives of… October 5, 2023 - NSF-NIH Smart Health Solicitation Webinar September 25, 2023 - NSF-NIH Smart Health Solicitation Webinar January 21, 2021 - DMS Virtual Office Hours Additional program resources NSF-NIH Smart Health Solicitation Webinar - Sept.
25th, 2023 at 3:00pm (EST) - Webinar Recording NSF-NIH Smart Health Solicitation Webinar - Oct.
5th, 2023 at 3:00pm (EST) - Webinar Recording Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Computer and Information Science and Engineering (CISE) Division of Information and Intelligent Systems (CISE/IIS) Division of Computer and Network Systems (CISE/CNS) Division of Computing and Communication Foundations (CISE/CCF) Directorate for Engineering (ENG) Division of Civil, Mechanical and Manufacturing Innovation (ENG/CMMI) Directorate for Mathematical and Physical Sciences (MPS) Division of Mathematical Sciences (MPS/DMS) Directorate for Social, Behavioral and Economic Sciences (SBE) Division of Behavioral and Cognitive Sciences (SBE/BCS)
According to the current listing, eligibility includes: US institutions of higher education (2-year and 4-year colleges) and non-profit non-academic organizations directly associated with educational or research activities. Confirm the full requirements in the official notice before applying.
The current listing shows up to $1,200,000 per project over 4 years ($300,000 annually). 10-16 awards per cycle. $15-20 million total annual program funding. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NSF/NIH Smart Health and Biomedical Research in the Era of AI 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/NIH Smart Health and Biomedical Research in the Era of AI 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.
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.
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.
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) 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.
New NIH awards have fallen 34% in 2026, NSF is running months behind, and a proposed OMB rule would let political appointees terminate grants mid-stream. The funding environment for academic research has structurally changed. Here is a clear-eyed diversification strategy for PIs, research offices, and institutions that cannot wait for the political fight to resolve.
Read articleOMB's proposed rewrite of 2 CFR Part 200 would bar political appointees from deferring to peer reviewers and require senior-appointee sign-off on every discretionary grant. NIH new awards are already down about 34% in 2026. Here is what the merit-review changes actually say, how 'Gold Standard Science' becomes a scoring lever, why R1 universities are being written out of some solicitations, and what principal investigators and research offices should do before October 1.
Read articleOPM's March 2026 rule strips civil service protections from positions deemed policy-influencing — including potentially thousands of grant reviewers and program officers across NSF, NIH, and the Department of Defense. Here's how grant seekers should adapt.
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