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Supports mid-career researchers, at the associate professor rank (or equivalent), to substantively enhance and advance their research program through synergistic partnerships.

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 interdisciplinary collaborative research to explore new computational technologies and accelerate scientific discovery.

Supports research that designs and builds synthetic or artificial cells or cell-like systems to explore questions about biological function or evolution of life processes, as well as for biotechnology applications.

Supports computational and experimental research on the structure, dynamics and function of biomolecules, supermolecular assemblies and their interactions.

Supports research on the fundamental mechanisms involved in the organization, dynamics, processing, expression, regulation and evolution of genetic and epigenetic information.

Supports research that employs systems biology or synthetic biology approaches to address compelling questions in molecular and cellular biology. Tool development to advance systems and synthetic biology is also supported.

Supports the establishment of collaborative research centers focused on mathematical sciences at the interface of molecular, cellular and organismal biology. Each center will support education and training, visitor programs, workshops and outreach.

Supports collaborative high-risk, high-reward projects to develop cutting-edge tools and methods that advance RNA biological research and biotechnology for applications across various sectors, including agriculture, energy and global health.

Supports interdisciplinary research aimed at mechanistic understanding of the structure, function and evolution of cellular and subcellular systems across the tree of life.

Supports the establishment of an institute to facilitate research, education and training between mathematicians and biologists, with a goal of developing new mathematical methodologies inspired by biological problems.

Supports research into synthetic microbial communities, including how they form and evolve, how to use them to address biological questions and/or how to build them for biotechnology or bioengineering applications.

Introduction The National Science Foundation (NSF) and National Institute of Standards and Technology (NIST) have shared interests in a variety of basic and applied scientific and engineering fields. This program is designed to facilitate collaborative research and educational activities among...