The Emerging Mathematics in Biology (eMB) program offers this grant to stimulate the development of innovative mathematical theories and techniques. This grant is for investigating challenging questions in biology and informing public health policy. It supports truly integrative research projects that apply novel, non-trivial traditional mathematical tools or develop new mathematical theories. This includes foundational mathematics for Artificial Intelligence/Deep Learning/Machine Learning (AI/DL/ML) to enable explainable AI or provide mechanistic insight. The program emphasizes using these mathematical methodologies to advance our understanding of complex, dynamic, and heterogeneous biological systems across all scales, from molecular and cellular to ecological and evolutionary levels.
Opportunity ID: 357047
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 25-509 |
| Funding Opportunity Title: | Emerging Mathematics in Biology |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 15 |
| Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 3 |
| Posted Date: | Nov 08, 2024 |
| Last Updated Date: | May 14, 2025 |
| Original Closing Date for Applications: | Mar 03, 2025 |
| Current Closing Date for Applications: | Mar 02, 2026 |
| Archive Date: | Apr 01, 2026 |
| Estimated Total Program Funding: | $6,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on 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. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| 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 supportstruly 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.).
|
| Link to Additional Information: | NSF Publication 25-509 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| . | May 14, 2025 | |
| . | Nov 08, 2024 | |
| Nov 08, 2024 |
DISPLAYING: Synopsis 3
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 25-509 |
| Funding Opportunity Title: | Emerging Mathematics in Biology |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 15 |
| Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 3 |
| Posted Date: | Nov 08, 2024 |
| Last Updated Date: | May 14, 2025 |
| Original Closing Date for Applications: | Mar 03, 2025 |
| Current Closing Date for Applications: | Mar 02, 2026 |
| Archive Date: | Apr 01, 2026 |
| Estimated Total Program Funding: | $6,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on 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. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| 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 supportstruly 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.).
|
| Link to Additional Information: | NSF Publication 25-509 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 25-509 |
| Funding Opportunity Title: | Emerging Mathematics in Biology |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 15 |
| Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Nov 08, 2024 |
| Last Updated Date: | Mar 11, 2025 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Mar 02, 2026 |
| Archive Date: | Apr 01, 2026 |
| Estimated Total Program Funding: | $6,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on 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. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| 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 supportstruly 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.).
|
| Link to Additional Information: | NSF Publication 25-509 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | 25-509 |
| Funding Opportunity Title: | Emerging Mathematics in Biology |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 15 |
| Assistance Listings: | 47.049 — Mathematical and Physical Sciences |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Nov 08, 2024 |
| Last Updated Date: | Nov 08, 2024 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Mar 03, 2025 |
| Archive Date: | Apr 01, 2026 |
| Estimated Total Program Funding: | $6,000,000 |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Others (see text field entitled “Additional Information on Eligibility” for clarification) |
| Additional Information on 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 subawards 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. |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| 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 supportstruly 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.).
|
| Link to Additional Information: | NSF Publication 25-509 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NSF grants.gov support grantsgovsupport@nsf.gov Email: grantsgovsupport@nsf.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| PKG00288664 | Nov 08, 2024 | Mar 02, 2026 | View |
Package 1
Mandatory forms
357047 RR_SF424_5_0-5.0.pdf
357047 NSF_CoverPage_2_3-2.3.pdf
357047 NSF_KeyPersonExpanded_3_3-3.3.pdf
357047 RR_Budget_3_0-3.0.pdf
357047 PerformanceSite_4_0-4.0.pdf
357047 RR_OtherProjectInfo_1_4-1.4.pdf
Optional forms
357047 NSF_DeviationAuthorization-1.1.pdf
357047 NSF_SuggestedReviewers-1.1.pdf
357047 RR_SubawardBudget_3_0-3.0.pdf
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