Funding Search

Supports the research in mathematical and physical sciences of pre-tenure faculty at institutions with historically lower levels of NSF funding and their efforts to prepare students for 21st century STEM workforce.

Supports interdisciplinary projects that leverage AI to address geoscience challenges, fostering collaboration between experts to advance Earth system understanding and workforce development.

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

Supports convergent research and workforce development at Engineering Research Centers through inclusive, multidisciplinary, cross-sector partnerships to develop and advance engineered systems with high societal impact.

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

Supports cross-disciplinary, collaborative research focused on the discovery and ultimate manufacturing of new sustainable polymers or sustainable pathways to existing polymers using state-of-the-art data science.

Supports fundamental changes to the training of undergraduate engineering students that equip them with the technical and professional skills needed to solve complex societal problems.

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 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 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.