Funding Search

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 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 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.

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

The Collaborations in Artificial Intelligence and Geosciences (CAIG) program seeks to advance the development and adoption of innovative artificial intelligence (AI) methods to increase scientific understanding of the Earth system. The program supports projects that advance AI techniques and/or innovative...

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

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

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

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

Supports interdisciplinary research and education to develop a secure, resilient and trustworthy global cyber ecosystem by addressing vulnerabilities, improving trust in cyber systems and cultivating a well-trained cybersecurity workforce.

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.

Supports research in areas of applied and computational mathematics relevant to the biological and life sciences.

Supports postdoctoral fellows in pursuing research and training in mathematics and statistics, including their applications to other disciplines.

Supports postdoctoral fellows performing impactful research in MPS fields while broadening the participation of groups that are underrepresented in the mathematical and physical sciences.