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Find similar grantsMathematical Sciences Research Institutes is sponsored by NSF Division of Mathematical Sciences (MPS/DMS). Supports institutes advancing research in mathematical sciences, enhancing interdisciplinary impact, and expanding the U.
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MPS Mathematical Sciences - Directorate for Mathematical and Physical Sciences (MPS) | NSF - U.S. National Science Foundation MPS Mathematical Sciences View image credit & caption Directorate for Mathematical and Physical Sciences (MPS) The U.S. National Science Foundation Directorate for Mathematical and Physical Sciences (NSF MPS) supports multiple research programs at the frontiers of discovery in theoretical and applied mathematical sciences.
These programs play an essential role in the U.S. innovation engine that drives the economy, strengthens national security and enhances quality of life. Mathematical sciences are crucial to everyday life, from securing financial transactions and predicting the weather to building effective search engines and designing industrial manufacturing facilities.
These systems and many more rely on algorithms, number theory, algebraic geometry and modeling techniques within computational or applied mathematics and statistics. Mathematical sciences also play an essential role in new and emerging technologies including artificial intelligence, biotechnology, quantum computing and more.
NSF MPS programs in mathematical sciences foster interdisciplinary partnerships across all fields of science, engineering and technology and many industrial sectors. They also support students and early-career researchers who will strengthen America's science, technology, engineering and mathematics workforce as the next generation of mathematical science professionals.
Mathematical sciences programs MPS invests in multiple mathematical sciences programs supporting disciplinary and interdisciplinary research, individual researchers and groups, and education and training opportunities for students. Algebra and Number Theory Supports research in algebra, algebraic and arithmetic geometry, number theory and representation theory.
Supports research in complex, harmonic and real analysis; dynamical systems and ergodic theory; functional analysis; mathematical physics; operator theory and operator algebras; partial differential equations and calculus of variations. Supports mathematics research motivated by or affecting problems arising in science and engineering. Supports research on discrete structures.
Focus areas include algebraic and geometric combinatorics, probabilistic and structural graph theory. Computational Mathematics Supports the development and analysis of innovative approaches to address the broad range of mathematical questions and challenges that arise from the implementation of numerical algorithms.
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 differential geometry, geometric partial differential equations, geometric methods in modern mathematical physics, geometry of convex sets, integral geometry and related geometric topics.
Supports research in all areas of applied and computational mathematical sciences relevant to the biological and life sciences. Mathematical Sciences Focused Research Groups Supports collaborative groups employing innovative methods to solve specific, major research challenges in the mathematical sciences.
Mathematical Sciences Research Infrastructure Supports efforts to strengthen research infrastructure across the mathematical sciences community and training projects that complement existing opportunities. Mathematical Sciences Research Training Groups Supports efforts to improve graduate student research training and professional development in all areas of the mathematical sciences.
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 statistical theory and methods, including research in statistical methods with applications in any domain of science and engineering.
Supports research on algebraic topology, differential topology, geometric group theory and low dimensional topology. Mathematical Sciences Research Institutes MPS supports multiple Mathematical Sciences Research Institutes that conduct ambitious research in the mathematical sciences while amplifying the impact of math in other scientific disciplines, from biology and biomedicine to computer science.
The institutes create innovations that use mathematics to respond to national needs and strive to expand the talent base engaged in mathematical and statistical research in the U.S. Crosscutting and special programs MPS also invests in interdisciplinary programs that align with national priorities such as quantum algorithms and computing, artificial intelligence, digital twins, energy, security, public health and more.
Often, these programs are conducted in partnership with other federal agencies including the U.S. Department of Energy, National Institutes of Health, U.S. Food and Drug Administration, Air Force Office of Scientific Research, National Geospatial-Intelligence Agency and others. Attend virtual office hours and webinars Talk directly with MPS program directors and learn how to submit a proposal.
Find funding and contact a program director A guide with helpful tips on how to write and submit a research proposal to NSF.
According to the current listing, eligibility includes: Universities, Nonprofits, Research Institutions. Confirm the full requirements in the official notice before applying.
Mathematical Sciences Research Institutes is funded by NSF Division of Mathematical Sciences (MPS/DMS). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Past winners and funding trends for this program
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
NSF 26-520 consolidates 14 mathematical sciences programs into $200 million and 400 to 600 awards with no per-PI cap and no deadline. Folded into it are Research Training Groups and Focused Research Groups — department-scale, cohort-building competitions that ran on a fixed annual date. Here is why removing that date is a different kind of change for training grants than for single-investigator grants, and what math departments should do before the fall.
Read articleNSF 26-521 folds eight materials programs into one solicitation carrying $100 million and 200 to 300 awards. Proposals are accepted anytime — but no individual may appear as PI or co-PI on more than one proposal per fiscal year across all eight programs. That single sentence reshapes how materials labs collaborate.
Read articleNSF 26-523 folds 12 core physics programs and three cross-cutting ones into a single solicitation with $180 million and roughly 300 awards. Proposals are accepted anytime, but AMO-Experiment and Gravitational Physics still target November 25 and QIS targets December 8. Cost sharing is prohibited, indirect cost rates are now a tiebreaker, and NSF reserves the right to phase out long-duration efforts after comparative review.
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