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Supports research, implementation and education projects involving multi-sector teams that focus on the responsible design, development or deployment of technologies.
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 research and education to overcome barriers and enable new manufacturing capabilities. Focuses on cybermanufacturing, eco-manufacturing and biomanufacturing.
Supports transitioning teams from research that is multidisciplinary to research that transcends disciplinary boundaries with novel conceptual frameworks, theories and methods.
IT-Preliminary proposal Target Date - preliminary proposals are only required for institutions of higher education that want to submit a full Institutional Transformation proposal. IT-preliminary proposals are accepted before and after the target date.
Supports planning and implementation of community-university partnerships for significant near-term impacts in one of two focus areas: building climate-resilient communities and bridging the gap between essential resources and services and community needs.
Supports research capacity, project planning and partnership building at minority-serving institutions to broaden participation in computer and information science and engineering.
An Ideas Lab is an intensive meeting that brings together multiple diverse perspectives to focus on finding innovative cross-disciplinary solutions to a grand challenge problem (see below and PAPPG Chapter II.F.6. for more information about this type of proposal). The...
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.
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...
The Foundations for Digital Twins as Catalyzers of Biomedical Technological Innovation (FDT-BioTech) program supports inherently interdisciplinary research projects that underpin the mathematical and engineering foundations behind the development and use of digital twins and synthetic data in biomedical and healthcare...
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.