Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science (SCH)

Research
Funding Agency:
Funding Agency
National Science Foundation
RFP# and Website:
RFP# and Website
NSF 25-542
Awards:
Awards

Standard Grant or Continuing Grant or Cooperative Agreement. 

10 to 16 per year, subject to the availability of funds. Projects will be funded for up to four years for a total of $1,200,000 ($300,000 per year).
Anticipated Funding Amount:
Anticipated Funding Amount

$15,000,000 to $20,000,000 will be invested in proposals submitted to this solicitation in each year of the solicitation, subject to the availability of funds and the quality of the proposals received.
Letter of Intent:
Letter of Intent
Please contact the program director
Limit on Number of Proposals per Organization:
Preliminary Proposal Deadline:
Full Proposal Submission Deadline:
Full Proposal Submission Deadline

October 3 2025
Contacts:
Contacts
  • Goli Yamini, Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems, telephone: 703-292-5367, email: sch-correspondence@nsf.gov
  • Thomas Martin, Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems, telephone: 703-292-2170, email: sch-correspondence@nsf.gov
  • Georgia-Ann Klutke, Directorate for Engineering, Division of Civil, Mechanical and Manufacturing Innovation, telephone: 703-292-2443, email: sch-correspondence@nsf.gov
  • Shivani Sharma, Directorate for Engineering, Division of Civil, Mechanical and Manufacturing Innovation, telephone: 703-292-4204, email: sch-correspondence@nsf.gov
Description

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.