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Find similar grantsEmerging Mathematics in Biology (eMB) is sponsored by NSF BIO/DEB. Supports research that applies mathematical and computational methods to biological problems, fostering interdisciplinary collaboration.
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Emerging Mathematics in Biology (eMB) | NSF - U.S. National Science Foundation Emerging Mathematics in Biology (eMB) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports integrative research that develops advanced mathematical theories and methods to address complex biological challenges, thereby enhancing our understanding of diverse biological systems and informing public health policy.
Supports integrative research that develops advanced mathematical theories and methods to address complex biological challenges, thereby enhancing our understanding of diverse biological systems and informing public health policy.
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.).
November 25, 2024 - Emerging Mathematics in Biology Webinar Awards made through this program Browse projects funded by this program Directorate for Mathematical and Physical Sciences (MPS) Division of Mathematical Sciences (MPS/DMS) Directorate for Biological Sciences (BIO) Division of Biological Infrastructure (BIO/DBI) Division of Environmental Biology (BIO/DEB) Division of Integrative Organismal Systems (BIO/IOS) Division of Molecular and Cellular Biosciences (BIO/MCB)
According to the current listing, eligibility includes: Not explicitly stated on this page; full eligibility criteria are in the formal solicitation NSF 25-509 and NSF PAPPG. Confirm the full requirements in the official notice before applying.
The current listing shows up to $6,000,000 total for FY25-26 (approximately 10-15 awards expected, 3-year award duration). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Emerging Mathematics in Biology (eMB) is funded by NSF BIO/DEB. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Materials Research Seed Grant Program (Proto-IRG Seed Grant Program) is sponsored by The Ohio State University (OSU) Institute for Materials and Manufacturing Research (IMR). This program aims to seed innovative, collaborative directions and teams in materials research at The Ohio State University, positioning OSU as a world leader in emerging fields. These teams are expected to form the basis of Interdisciplinary Research Groups (IRGs) for future NSF Materials Research Science and Engineering Center (MRSEC) competitions.
Advancing Research at the Intersection of Biology and Artificial Intelligence/Machine Learning (AI/ML) is sponsored by National Science Foundation (NSF) BIO. NSF BIO supports research combining biology and AI/ML to advance biological discovery or develop AI/ML methods inspired by biological systems, encouraging interdisciplinary collaboration. This includes research related to biomedical devices (from imaging through medical devices) and systems.
Science Granting Councils Initiative (SGCI) Multilateral Research Call is sponsored by Science Granting Councils Initiative (SGCI). This call supports multi-country research aligned with the African Union's Science, Technology and Innovation Strategy for Africa 2034 (STISA-2034). One of the five thematic streams targets Artificial Intelligence and Digital Technologies, which can include aspects of ICT infrastructure. Proposals are expected to build on existing continental efforts.
NSF 26-517 replaces the core solicitations of Environmental Biology, Integrative Organismal Systems and Molecular and Cellular Biosciences with a single directorate-wide opportunity. Proposals are accepted anytime, sorted centrally by NSF rather than targeted by the PI, and reorganized under three inquiry areas. Here is what the $280 million actually buys, why the loss of program targeting cuts both ways, and what to do before the September 16 webinar.
Read articleThe FY2027 Defense University Research Instrumentation Program closes November 6, 2026 at 5:00 PM ET with roughly $28 million, awards from $50,000 to $3 million, and no cost-share requirement. It is down about $6 million from FY2026, it funds equipment and nothing else, and it lands ten days before the NSF MRI deadline. Here is how to split an equipment wishlist across two overlapping windows.
Read articleOn October 8, 2026 NSF's Technology, Innovation and Partnerships directorate awarded $30 million over four years to National Math Stars — fully matched by private philanthropy. A K-12 talent-identification nonprofit held the prime slot, not a university. That combination is the template, and NextGen Workforce is next.
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