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Supports efforts to improve the adoption of cyberinfrastructure resources by the research community and integrate core literacy, skills in advanced cyberinfrastructure, and computational and data-driven methods into undergraduate and graduate education.

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 experienced engineering researchers by funding fundamental research that helps them pivot to a new field or direction or relaunch into active research after a hiatus.

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 innovative biomedical engineering research using the unique microgravity environment of the International Space Station to advance fundamental understanding and technology development that benefits life on Earth.

Supports research on engineered systems with a seamless integration of cyber and physical components, such as computation, control, networking, learning, autonomy, security, privacy and verification, for a range of application domains.

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

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

Supports investigators based at non-R1 institutions of higher education, including community colleges, who are working in engineering fields and have not yet received sufficient federal research funding.

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