Grant opportunity
Emerging Mathematics in Biology (eMB)
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.).
- Funder
- U.S. National Science Foundation
- Forecast notice: deadline to be announced
- Forecast notice: deadline to be announced
- Award
- See official notice
- Applicant
- Others (see text field entitled "Additional Information on Eligibility" for clarification)
- Discipline
- Health and Biomedical Sciences
- Region
- United States
- Posted
- Aug 18, 2026
Call summary
Overview
Emerging Mathematics in Biology (eMB) is official opportunity 25-509, published by U.S. National Science Foundation during the 17-18 August 2026 hunt window.
Who can apply
Eligible applicant types listed by the agency: Others (see text field entitled "Additional Information on Eligibility" for clarification). Applicants must also satisfy every programme-specific condition in the official notice.
What it supports
- 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.).
- Opportunity number: 25-509
Funding and duration
- Award ceiling: See official notice
- Expected number of awards: 15
Forecast notice: deadline to be announced
Forecast notice: deadline to be announced
How to apply
Open the official Grants.gov record, review the full notice and attachments, and use the application package or agency route stated there.
Call details
Source-based overview
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.). The official record contains the controlling eligibility, budget, attachment and submission requirements for opportunity 25-509.
Eligibility
Eligible applicant types listed by the agency: Others (see text field entitled "Additional Information on Eligibility" for clarification). Applicants must also satisfy every programme-specific condition in the official notice.
Funding and benefits
Award ceiling: See official notice
Expected number of awards: 15
Themes and supported activities
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.).
Opportunity number: 25-509
Deadline and timeline
Forecast notice: deadline to be announced: Forecast notice: deadline to be announced.
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
Open the official Grants.gov record, review the full notice and attachments, and use the application package or agency route stated there.
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.