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Emerging Mathematics in Biology (eMB)

Status: Archived

Archived funding opportunity

This document has been archived. See NSF 24-513 for the latest version.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Supports research in mathematical biology that addresses significant biological questions by applying nontrivial mathematics or developing new theories — particularly from foundational mathematics, including artificial intelligence or machine learning.


The Emerging Mathematics in Biology (eMB) program seeks to stimulate fundamental interdisciplinary and potentially transformative research pertaining to the development of innovative mathematical/statistical/computational theories, tools, and modeling approaches to investigate challenging questions of great interest to biologists and public health policymakers. It supports 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 theories particularly from foundational mathematics and/or computational/statistical tools, including Artificial Intelligence/Deep Learning/Machine Learning (AI/DL/ML).



Program contacts

Zhilan J. Feng
Program Director
zfeng@nsf.gov (703) 292-7523 MPS/DMS
Amina Eladdadi
Program Director
aeladdad@nsf.gov (703) 292-8128

Awards made through this program

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Map of recent awards made through this program