Emerging Mathematics in Biology

Active
No
Status
Posted
Published Date
December 13th, 2023
Close Date
March 11th, 2024
Total Funding
$6,000,000.00
Expected No. Awards
15
Opportunity No.
24-513

Agency

National Science Foundation (NSF)

Eligible Applicants

Others

Funding Category

Science and Technology and other Research and Development

Funding Instrument

Grant

Opportunity Category

Discretionary

Cost Sharing or Matching Requirement

Yes

Summary

The National Science Foundation is offering a grant opportunity titled "Emerging Mathematics in Biology". This grant aims to support research projects in mathematical biology that address challenging and significant biological questions through the use of innovative mathematical/statistical/computational theories, tools, and modeling approaches. The program emphasizes the application of mathematical methodologies to advance our understanding of complex, dynamic, and heterogeneous biological systems at various scales. The total program funding is $6,000,000, and it is expected to award 15 grants. The deadline for proposal submission is March 11, 2024. For more information, you can visit the NSF Publication 24-513 at http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf24513.

Description

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). 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, etc.).

Contact Information

Opportunity Lifecycle

Title
Type
Grant

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