Computational and Data-Enabled Science and Engineering
Needs review: award amount not stated in source data
Computational and Data-Enabled Science and Engineering is a funding call from U.S. National Science Foundation that has no fixed deadline (rolling). Funding: not stated in source data — see the official call. Eligibility: Open to essentially any type of organisation (US agency listing says 'unrestricted'); check the program's extra eligibility text. No fixed deadline: proposals accepted any time / per program target dates.
- Funder
- U.S. National Science Foundation
- Deadline
- Rolling / no fixed deadline
- Amount
- Not stated in source data — see call
- Region / eligibility
- United States
- Career stage
- established / PI
- Fields
- chemistry
- Reference
- PD-24-8084
- Official call
- Grants.gov listing · Program page
Eligibility in plain language
Open to essentially any type of organisation (US agency listing says 'unrestricted'); check the program's extra eligibility text. No fixed deadline: proposals accepted any time / per program target dates.
Who should apply
Synthetic, physical and analytical chemists — best fit for PIs and research groups.
Summary from source
Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encour…