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Supports conferences focused on important current research topics in the mathematical sciences.

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

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

The purpose of the Focused Research Group activity is to support collaborative groups employing innovative methods to solve specific, major research challenges in the mathematical sciences. A major challenge is an outstanding problem of significant importance that requires the focused...

Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific 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 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 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 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.

Supports research in differential geometry; aspects of global analysis; geometric methods in modern mathematical physics; and geometry of convex sets, integral geometry and related geometric topics.

Supports research on algebraic topology, differential topology, geometric group theory, and general topology and continua theory.

Supports mathematics research motivated by or having an effect on problems arising in science and engineering.

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

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

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.