Emerging Mathematics in Biology
Status: Forecasted
Posted date: November 8, 2024
Archive date: April 1, 2026
Close date: March 2, 2026
Opportunity ID: 357047
Opportunity number: 25-509
Opportunity category: Discretionary
Agency name: U.S. National Science Foundation
Agency code: NSF
Award floor: $0
Award ceiling: $0
Cost sharing required: No
Funding Instrument Types
- Grant
Category of Funding Activity
- Science and Technology and other Research and Development
Eligible Applicants
- Others
Categories (use these for quoted searches)
- agency_code:nsf
- category_of_funding_activity:science_and_technology_and_other_research_and_development
- cost_sharing_or_matching_requirement:false
- eligible_applicants:others
- funding_instrument_type:grant
- opportunity_category:discretionary
- status:forecasted
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.).