Opportunity Information: Apply for PD 22 8069
The National Science Foundation (NSF) opportunity titled "Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences" (CDSampE-MSS), Funding Opportunity Number PD 22 8069, supports research at the intersection of core mathematical and statistical sciences and the modern realities of computation and data. The program is designed for projects that take on the mathematical and statistical challenges created by two major shifts in science and engineering: first, the growing dependence on computational experimentation, modeling, and simulation as stand-ins for or complements to physical experiments; and second, the rapid expansion in the volume, complexity, and variety of digital data generated from experiments, observations, sensors, and large-scale instruments. Within that landscape, the program prioritizes work that produces both the underlying theory and the practical software foundations needed for the next generation of computational and data-driven discovery.
A central emphasis of CDSampE-MSS is advancing mathematics or statistics in a meaningful, field-shaping way while also directly addressing computational or big-data constraints. Competitive proposals are expected to go beyond simply applying existing methods; they should develop new mathematical or statistical ideas, frameworks, algorithms, or analysis that enable reliable computation and sound inference at scale. In addition, the program explicitly values the creation and development of mathematical and statistical software tools, meaning that proposals can be strengthened by credible plans for implementation, validation, reproducibility, usability, and broader adoption, with theory and software reinforcing each other. The overall goal is to build capabilities that will be essential as scientific questions increasingly depend on high-performance computing, sophisticated simulation pipelines, and data-intensive workflows.
Eligibility is broadly open (unrestricted eligibility, subject to any clarifications in the full solicitation), and the award mechanism is a grant under the NSF research and development mission. The opportunity falls under CFDA numbers 47.049 and 47.070 and is listed in the Science and Technology and other Research and Development activity category. Proposals may be submitted at any time, as there is no single fixed deadline indicated (original closing date: proposals accepted anytime). NSF anticipates making about 20 awards, with an award ceiling of up to $1,000,000 per award, which signals support for substantial projects that may involve multiple researchers, significant computational work, or robust software deliverables.
One key requirement is that proposals must include a Principal Investigator or co-Principal Investigator who is a researcher in an area supported by NSF's Division of Mathematical Sciences (DMS). This condition anchors the program in the mathematical and statistical sciences even when the work is highly interdisciplinary or motivated by applications. At the same time, the program encourages multidisciplinary collaborations, reflecting how progress in computation- and data-enabled research often benefits from partnerships that connect mathematicians and statisticians with domain scientists, engineers, or computer scientists. The program also welcomes proposals that create training opportunities, especially through meaningful research involvement of junior mathematicians or statisticians, aligning with NSF's broader goals around workforce development and cultivating future leaders in computational and data-centric mathematical sciences.
Finally, CDSampE-MSS is part of NSF's wider Computational and Data-enabled Science and Engineering (CDSampE) enterprise. In practical terms, that positioning indicates the program is meant to contribute to a broader NSF-wide strategy of enabling scientific discovery through advances in computation, data methods, and the mathematical and statistical foundations that make those advances trustworthy, scalable, and broadly usable.Apply for PD 22 8069
- The National Science Foundation in the science and technology and other research and development sector is offering a public funding opportunity titled "Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 47.049, 47.070.
- This funding opportunity was created on Jul 11, 2022.
- Applicants must submit their applications by Proposals accepted anytime. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $1,000,000.00 in funding.
- The number of recipients for this funding is limited to 20 candidate(s).
- Eligible applicants include: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled Additional Information on Eligibility.
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