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Find similar grantsEmerging Mathematics in Biology (eMB) is sponsored by NSF Division of Biological Infrastructure (BIO/DBI). Encourages the integration of mathematical sciences into biological research.
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Emerging Mathematics in Biology (eMB) | NSF - U.S. National Science Foundation Emerging Mathematics in Biology (eMB) Archived funding opportunity This document has been archived. Archived funding opportunity The Emerging Mathematics in Biology (eMB) solicitation has been archived.
Projects that involve developments of innovative mathematical approaches by interdisciplinary teams to investigate challenging questions of great interest to biologists and public health policymakers are encouraged to be submitted to the Mathematical Biology program . The target date for proposal submission to the Mathematical Biology program is the second Tuesday in October.
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.
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: Academic institutions and research organizations. Confirm the full requirements in the official notice before applying.
Emerging Mathematics in Biology (eMB) is funded by NSF Division of Biological Infrastructure (BIO/DBI). Verify program details on the funder's official page before applying.
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MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
NSF 26-513 makes roughly $100 million available for up to 10 State and Regional AI Infrastructure Hubs at $4M to $12M each over five years. One award per state or multi-state region. One proposal per organization. And NSF is not buying you GPUs — it funds the coordination, the workforce and the faculty training, while the compute has to come from partners you have to already have.
Read articleNSF 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 articleAnnounced August 4, 2026, NSF 26-513 will fund up to 10 State and Regional AI Infrastructure Hubs at $4-12M each over five years. It is a cooperative-agreement, public-private consortium model designed to put frontier compute in the hands of researchers outside the elite institutions. Here is how the program is structured, who can lead, and how to build a competitive consortium before the November 4 deadline.
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