Submission Deadline 09/18/2026
Fiscal Capacity $5,000,000
NSF Grant — Key Facts
Opportunity Number 22-600
Agency NSF
Application Deadline 09/18/2026
Award Amount $5,000,000
Status Posted
Sector Technology
Award Floor $1
Cost Sharing Not Required

Fiscal Parameters & Taxonomy

Authority NSF
Status Posted

Who Can Apply

Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

Eligibility Intelligence

See the official NOFO for full eligibility requirements.

Program Description

The Division of Mathematical Sciences (DMS)in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF)and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH)plan to support fundamental research in mathematics and statistics necessary to answer questions in the biological and biomedical sciences. Both agencies recognize the need to promote research at the interface between mathematical and life sciences. This program is designed to encourage new collaborations, as well as to support innovative activities by existing teams. The joint DMS/NIGMS initiative offers two submission tracks: Track 1 - for projects with a total budget of up to $600,000 for an award duration of 3 years, and Track 2 - for projects with a total budget of up to $1,200,000 for an award duration of 3-4 years.

CFDA Programs

47.049 Mathematical and Physical Sciences
93.859 Biomedical Research and Research Training

Agency Contact

NSF grants.gov support grantsgovsupport@nsf.gov

✉ grantsgovsupport@nsf.gov

📞 703-292-4203

Related Intelligence Guides

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GrantMetric Intelligence Systems — Independent federal grant intelligence platform. Not affiliated with Grants.gov, the U.S. Department of Health & Human Services, or any government agency. Grant data is sourced from the Grants.gov API for informational purposes only; always verify opportunity details directly with the funding agency before applying. Some links on this site are affiliate links — we may earn a commission at no additional cost to you. Full Disclaimer  ·  Last Reviewed: May 2026  ·  Data Methodology