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"Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)" is currently closed and not accepting applications.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is sponsored by NSF Directorate for Computer and Information Science and Engineering (CISE). Supports the development of transformative advances in computer and information science, engineering, and data science to address pressing questions in biomedical and public health communities.
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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.
gov sch-correspondence@nsf. gov sch-correspondence@nsf.
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)
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: Universities, research institutions, and other organizations engaged in biomedical and public health research. Confirm the full requirements in the official notice before applying.
The published deadline was October 3, 2025, which has passed. Check the official notice for any future application windows before investing time in a proposal.
Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH) is funded by NSF Directorate for Computer and Information Science and Engineering (CISE). 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.
Start with the full solicitation document linked on this page — it contains the submission instructions and required forms.
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.
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