Emerging Mathematics in Biology (eMB)
NSF funds integrative research by U.S. institutions of higher education to develop or apply novel mathematics to challenging biological questions, including mathematical foundations for explainable AI/ML in biology.
⚑ Eligible applicants are U.S. two- and four-year IHEs acting on behalf of faculty members. · International branch campus funding requires justification that activities cannot be done at the U.S. campus.
This is a basic mathematical biology program centered on foundational math, AI/ML, and biological systems, which is far outside IPPRA’s social-behavioral, risk, policy, and survey research lines. Even the public-health wording here is biomedical/modeling oriented rather than the team’s evaluation, opinion, or warning-response work.
JUDGED AGAINST THE ROSTER'S PUBLICATION DOSSIER · GPT-5.4-MINI · 2026-08-18
Unit fits — one characterization, each unit's own rules
| Physical Sciences & Engineering (demo) | 80 strong | technical depth: substantial; funds basic research |
| IPPRA | 58 good | peripheral portfolio topic: public_health; social/behavioral work is minor; funds basic research; biomedical core — IPPRA health lane is communication/crisis/policy (capped) |
| Tom Love Innovation Hub | 15 none | deep-tech content; no commercialization signal |
Description
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.).
Eligibility
*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.
Apply
View on Grants.gov → CONTACT: U.S. National Science Foundation <grantsgovsupport@nsf.gov>
Proposal brief SEE AN EXAMPLE →
A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.
Proposal shell · National Science Foundation conventions SEE AN NSF EXAMPLE →
Funder-faithful document skeletons — National Science Foundation's document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.