Computational and Data-Enabled Science and Engineering

Solicitation # PD-23-8084
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Posted 6/6/25, 12:00 AM
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Similar Opportunities
The National Science Foundation (NSF) is offering the Computational and Data-Enabled Science and Engineering (CDS&E) grant opportunity to support projects that harness computation and data to advance scientific and engineering knowledge. The goal is to identify and capitalize on opportunities for major breakthroughs through new computational and data-analysis approaches. Proposals must have a significant component of computational or data science that goes beyond what would normally be...
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Points of Contact
National Foundation +1 703-292-4203

The National Science Foundation (NSF) is offering the Computational and Data-Enabled Science and Engineering (CDS&E) grant opportunity to support projects that harness computation and data to advance scientific and engineering knowledge. The goal is to identify and capitalize on opportunities for major breakthroughs through new computational and data-analysis approaches. CDS&E proposals should have a significant component of computational or data science that goes beyond what would typically be included in existing programs. Proposals must be submitted to one of the related NSF divisions by the associated deadlines, which range from September to November annually. The program is open to a wide range of applicant types, including academic institutions, research organizations, and other eligible entities.

Awards under this opportunity typically range from $250,000 to $650,000, with project periods spanning 3-5 years. The grants support fundamental and applied research across diverse fields such as materials science, bioengineering, communications systems, manufacturing innovation, quantum technologies, and emerging technology domains. Funded projects are expected to advance scientific understanding, develop new technologies, and address national priorities in areas like artificial intelligence, advanced manufacturing, biotechnology, and quantum information science.

Generated 6/8/25, 6:52 AM