Emerging Mathematics in Biology (eMB)
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The Emerging Mathematics in Biology (eMB) program, administered by the National Science Foundation under solicitation 25-509, aims to foster the creation of innovative mathematical theories and techniques to solve complex biological and public health challenges. The initiative supports integrative research that utilizes nontrivial mathematical tools or develops new theories, specifically including the mathematical foundations of Artificial Intelligence, Deep Learning, and Machine Learning to provide mechanistic insights and explainable AI. The program focuses on advancing the understanding of dynamic and heterogeneous biological systems across all scales, ranging from molecular and cellular levels to entire ecosystems and evolutionary processes. Interested parties can find further details through the National Science Foundation via the provided grants.gov link.
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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.).
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