Funding Search

Supports research to advance the interoperability of studies using electromagnetic waves, high-energy particles including neutrinos and cosmic rays, and gravitational waves to realize integrated, multi-messenger astrophysical explorations of the universe.

In 2016, the National Science Foundation (NSF) unveiled a set of “Big Ideas,” 10 bold, long-term research and process ideas that identify areas for future investment at the frontiers of science and engineering (see https://www.nsf.gov/news/special_reports/big_ideas/index.jsp). The Big Ideas represent unique...

Supports multi-organizational teams to collaboratively produce convergent research, education and outreach that addresses grand challenges in sustainable regional systems.

Supports fundamental research to investigate new spectrum access, management approaches and underlying technology enablers for the next spectrum era.

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 innovative collaborative international centers for interdisciplinary use-inspired research to address global bioeconomy challenges, in partnership with funding agencies in Canada, Japan, Republic of Korea, Finland and the United Kingdom.

The National Quantum Initiative (NQI) Act 1 aims to ensure the continuing leadership of the United States (U.S.) in quantum information science and technology. In conformance with the NQI goals, an argument 2-5 was set forth for a renewed emphasis...

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

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 data science education and training by engaging students in real-world implementation projects in partnership with organizations and communities — helping to build a strong national data science infrastructure and workforce.

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 capacity-development projects and partnerships within the National AI Research Institutes ecosystem that help broaden participation in artificial intelligence research, education and workforce development.

Supports early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.

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 translational research and workforce development at the interface of fundamental plasma science and technological innovation.

The long-range goal of the Research Training Groups in the Mathematical Sciences (RTG) program is to strengthen the nation's scientific competitiveness by increasing the number of well-prepared U.S. citizens, nationals, and permanent residents who pursue careers in the mathematical sciences...

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

Supports intensive research by undergraduate students in any NSF-funded area of research. REU Sites engage a cohort of students in research projects related to a theme. REU Supplements engage students in research related to a new or ongoing NSF research award.

Supports the facilitation, creation and growth of open-source ecosystems for the creation of new technology solutions.

Supports interdisciplinary, evidence-based traineeships that advance ways for graduate students in research-based master's and doctoral degree programs to pursue a range of STEM careers.

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...

Supports foundational and transformative research to advance the design, engineering and fabrication of organoid systems that are capable of processing information dynamically while interfacing with non-living systems.

The contemporary research landscape is a collaborative and international enterprise requiring high level coordination among multi-disciplinary, cross-cultural teams. As such, the Accelerating Research through International Network-to-Network Collaborations program (AccelNet) values cooperation over competition. Program goals are to 1) leverage prior...

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...