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Emerging Mathematics in Biology (eMB)

U.S. National Science Foundation

Program funding

$6,000,000

Opportunity #: 25-509
Agency: U.S. National Science Foundation
ALN (CFDA): 47.049, 47.074
Status: posted
Posted: Aug 17, 2026
Funding instrument: Grant
Category: Science and Technology and other Research and Development
Cost sharing required: No

Who can apply

•Others (see text field entitled "Additional Information on Eligibility" for clarification)

*Who May Submit Proposals: Proposals may only be submitted by the following: -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

Synopsis

The Emerging Mathematics in Biology (eMB) program seeks to stimulate the development of innovative mathematical theories, techniques, and approaches to investigate challenging questions of great interest to biologists and public health policymakers. It supports truly integrative research projects in mathematical biology that address challenging and significant biological questions through novel applications of traditional, but nontrivial, mathematical tools and methods or the development of new mathematical theories particularly from foundational mathematics, including the mathematical foundation of Artificial Intelligence/Deep Learning/Machine Learning (AI/DL/ML) enabling explainable AI or mechanistic insight. The program emphasizes the uses of mathematical methodologies to advance our understanding of complex, dynamic, and heterogenous biological systems at all scales (molecular, cellular, organismal, population, ecosystems, evolutionary, etc.).

Contact

U.S. National Science Foundation · grantsgovsupport@nsf.gov

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