Emerging Mathematics in Biology

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.). Key aspects of this opportunity include: • The development of innovative mathematical theories and techniques to investigate biological questions • The support of integrative research projects in mathematical biology • The emphasis on using mathematical methodologies to advance understanding of complex biological systems • The inclusion of Artificial Intelligence/Deep Learning/Machine Learning (AI/DL/ML) in the development of new mathematical theories • The requirement for proposals to be submitted by Institutions of Higher Education (IHEs) accredited in the US