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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 the development of new AI Institutes that focus on one of the following themes: astronomical sciences, materials research and new methods for strengthening AI.
Supports partnerships to re-envision computing education to serve a broad group of students, in a scalable manner, with an emphasis on broadening the participation of groups who are underrepresented and underserved by traditional computing courses and careers.
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 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 partnerships and research that helps equip high school teachers to teach computer science, K-8 teachers to incorporate computer science and computational thinking in their classes, and school districts to create computing pathways across all grades.
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...
Program Mission: The IUCRC program catalyzes breakthrough pre-competitive research by enabling close and sustained engagement between industry innovators, world-class academic teams, and government agencies. IUCRCs help industry partners and government agencies connect directly and efficiently with university researchers to achieve...
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 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 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 experiences for undergraduates in computer and information science and engineering, with an emphasis on computing and cyberinfrastructure.
Correctness for Scientific Computing Systems (CS 2) is a joint program of the National Science Foundation (NSF) and the Department of Energy (DOE). The program addresses challenges that are both core to DOE’s mission and essential to NSF’s mission of...
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 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.
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.
Supports foundational research addressing the substantial environmental impacts of computing. Projects should surpass studies of energy efficiency alone, pursuing dramatic improvements to overall sustainability.
The Community Infrastructure for Research in Computer and Information Science and Engineering (CIRC) program drives discovery and learning in the core disciplines of the three participating CISE divisions [Computing and Communication Foundations (CCF), Computer and Network Systems (CNS), and Information...