Grant opportunity
NSF-NIH Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science
The Smart Health programme supports high-risk, interdisciplinary research using AI, advanced data science and engineering to address biomedical and public health challenges.
- Funder
- U.S. National Science Foundation / National Institutes of Health
- Next target date: 10 September 2026
- Next target date: 10 September 2026: Sep 10, 2026
- Award
- Up to USD 1,200,000 over four years for integrative projects
- Applicant
- U.S. institutions of higher education and eligible U.S. nonprofit, non-academic organisations with interdisciplinary teams connecting computing, engineering, mathematical, behavioural, social, biomedical and public health research.
- Discipline
- Technology, Data and Innovation
- Region
- United States
- Posted
- Jul 17, 2026
Call summary
Overview
This NSF-NIH programme funds convergent research that makes fundamental scientific or engineering contributions while addressing important biomedical or public health questions.
Who can apply
Eligible submitting organisations include accredited U.S. institutions of higher education and eligible U.S. nonprofit, non-academic organisations. Teams should combine expertise from computing, engineering, mathematics, statistics, behavioural or social science and biomedical or public health domains.
What it supports
- Artificial intelligence, machine learning and advanced data science for biomedical or public health research.
- Fundamental computing, engineering, mathematical, statistical, behavioural or cognitive science advances motivated by health challenges.
- Interdisciplinary work that avoids purely clinical, pharmacological or disease-centric studies without fundamental science or engineering contributions.
Funding and duration
- Integrative projects may request up to USD 1,200,000 for up to four years.
- Exploratory projects have smaller limits under the solicitation.
Next target date: 10 September 2026
Next target date: 10 September 2026: Sep 10, 2026
How to apply
Prepare and submit a full proposal through Research.gov or Grants.gov under the NSF Smart Health solicitation by the target date.
Call details
Source-based overview
The Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science solicitation supports transformative, convergent research integrating computing, information science, engineering, mathematics, statistics and health-related research to address pressing biomedical and public health challenges.
Eligibility
Eligible submitting organisations include accredited U.S. institutions of higher education and eligible U.S. nonprofit, non-academic organisations. Teams should combine expertise from computing, engineering, mathematics, statistics, behavioural or social science and biomedical or public health domains.
Funding and benefits
Integrative projects may request up to USD 1,200,000 for up to four years.
Exploratory projects have smaller limits under the solicitation.
Themes and supported activities
Artificial intelligence, machine learning and advanced data science for biomedical or public health research.
Fundamental computing, engineering, mathematical, statistical, behavioural or cognitive science advances motivated by health challenges.
Interdisciplinary work that avoids purely clinical, pharmacological or disease-centric studies without fundamental science or engineering contributions.
Deadline and timeline
Next target date: 10 September 2026: Next target date: 10 September 2026: Sep 10, 2026.
Applicants should confirm the exact deadline time, time zone, required documents, portal steps and any institutional approvals on the official call page before submitting.
How to apply
Prepare and submit a full proposal through Research.gov or Grants.gov under the NSF Smart Health solicitation by the target date.
Before applying, check eligibility rules, budgets, attachments, page limits, partner requirements, cost-share conditions and whether the opportunity uses an expression of interest, full proposal, registration or nomination stage.