Opportunity Information: Apply for 25 509
The National Science Foundation (NSF) Emerging Mathematics in Biology (eMB) program is a discretionary grant opportunity aimed at pushing mathematical biology in new directions by backing research that is both biologically meaningful and mathematically inventive. The core idea is to spark the creation of new mathematical theories, tools, and frameworks, or to apply existing mathematical methods in genuinely nontrivial ways, to tackle difficult biological problems that matter to biologists and to public health decision-makers. Rather than funding projects that simply use standard modeling routines, eMB is focused on integrative work where the mathematics is a true driver of new insight, helping explain, predict, or uncover mechanisms in complex biological systems.
A major emphasis of the program is on biology as a set of complex, dynamic, and heterogeneous systems, and it explicitly encourages research that can operate across many possible scales. That includes molecular and cellular processes, organismal biology, populations, ecosystems, and evolutionary dynamics. The expectation is that proposed work will use mathematical methodologies to improve understanding of these systems in ways that are difficult to achieve with purely descriptive or purely data-driven approaches. In practice, that can include advanced modeling, analysis of nonlinear and stochastic systems, new statistical or computational theory, or other foundational mathematical contributions that meaningfully change what can be asked and answered in biology.
The solicitation also highlights interest in foundational mathematics connected to Artificial Intelligence, Deep Learning, and Machine Learning (AI/DL/ML), particularly where the math leads to explainable AI or yields mechanistic biological insight. In other words, projects that do more than apply black-box models are especially aligned with the program if they can provide interpretable structure, theoretical guarantees, or biologically grounded explanations. The program is not simply about using AI in biology; it is about developing or leveraging mathematical foundations that make AI approaches more transparent, reliable, and informative for biological science.
Eligibility to submit is limited to US-based Institutions of Higher Education. Both two-year and four-year colleges and universities are eligible, including community colleges, as long as they are accredited in the United States and have a US campus. Proposals must be submitted by the institution on behalf of faculty members. If a project plans to route funding to an international branch campus of a US institution (including via subawards or consultant arrangements), the proposal must clearly explain why work at that international location benefits the project and why the activities cannot be done at the US campus.
Key administrative details include the funding opportunity title, Emerging Mathematics in Biology, and the funding opportunity number 25-509. The agency is the National Science Foundation, and the instrument type is a grant under the broad category of science and technology and other research and development. The CFDA numbers listed are 47.049 and 47.074. The original closing date is March 3, 2025. NSF anticipates making about 15 awards under this opportunity, and the posting date for the opportunity is November 8, 2024. The award ceiling is not specified in the provided information, so applicants would need to consult the full solicitation for any budget limits, typical award sizes, and project duration expectations.Apply for 25 509
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Emerging Mathematics in Biology" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.049, 47.074.
- This funding opportunity was created on 2024-11-08.
- Applicants must submit their applications by 2025-03-03. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- The number of recipients for this funding is limited to 15 candidate(s).
- Eligible applicants include: Others.
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