Funding Search

Supports computational mathematical research focused on developing and implementing theoretically justified and computationally efficient algorithms.

The Cyberinfrastructure for Sustained Scientific Innovation (CSSI) program seeks to enable funding opportunities that are flexible and responsive to the evolving and emerging needs in cyberinfrastructure (CI). The program continues to emphasize integrated CI services, quantitative metrics with targets for...

Supports research in statistical theory and methods, including research in statistical methods with applications in any domain of science and engineering.

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

Supports the research of pre-tenure faculty in mathematical and physical sciences, with an emphasis on those at institutions that traditionally do not receive significant NSF funding, such as minority-serving, predominantly undergraduate or R2 institutions.

Supports research that strengthens research infrastructure across the mathematical sciences community; training projects that complement the Division of Mathematical Sciences' Workforce Program; and conference and travel requests.

Supports materials design and development through the integration of experiments, computation and data-driven methods, while fostering interdisciplinary collaboration and training the next generation of the materials R&D workforce.

Supports research at the interface of innovative computational and AI technologies and new strategies/technologies in mathematical reasoning to guide and enhance research in the mathematical sciences, formal methods and AI.

Supports research to develop mathematical and statistical algorithms that improve the security, reliability and efficiency of the modern power grid.

Supports partnerships between minority-serving institutions and NSF Division of Mathematical Sciences supported research institutes.

Supports interdisciplinary collaborations integrating research on behavioral and/or social processes in mathematical epidemiological models. The goal of this program is to minimize unintended outcomes of public health interventions in response to pandemics.

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...

Supports foundational mathematical and statistical research on digital twins in applied science to harness science, technology and innovation to address society’s most pressing challenges.

Supports interdisciplinary research projects that explore the mathematical and engineering foundations behind the development and use of digital twins in biomedical and healthcare applications.

Supports efforts to improve graduate student research training and professional development in mathematical sciences through structured groups pursuing collaborative research at institutions of higher education.

Supports research that uses new computational and data science approaches to advance knowledge and accelerate discovery in science and engineering.

Supports research on the theory and applications of probability including discrete probability, stochastic processes, limit theory, interacting particle systems, stochastic differential and partial differential equations and Markov processes.

Supports research in mathematics and statistics necessary to answer important questions in the biological and biomedical sciences.

Supports research in mathematical logic and the foundations of mathematics, including proof theory, recursion theory, model theory, set theory and infinitary combinatorics.

Supports research on discrete structures. Focus areas include algebraic, enumerative, existential, extremal, geometric and probabilistic combinatorics, including graph theory.

Supports research in analysis, including complex, harmonic and real analysis; dynamical systems and ergodic theory; functional analysis; mathematical physics; operator theory/algebras; partial differential equations and calculus of variations.

Supports the development of transformative advances in computer and information science, engineering, mathematics, statistics, behavioral and cognitive research to address pressing questions in the biomedical and public health communities.

Supports research in algebra, algebraic and arithmetic geometry, number theory and representation theory.

Supports research collaborations between mathematicians, statisticians, computer scientists, engineers and social behavior scientists to establish innovative and principled design and analysis approaches for AI technology.