Opportunity Information: Apply for PD 16 8069
Apply for PD 16 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 Oct 05, 2016.
- Applicants must submit their applications by Dec 09, 2016. (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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Opportunity Summary:
The National Science Foundation (NSF) funding opportunity titled "Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences" (CDSampE-MSS, Funding Opportunity Number PD 16 8069) supports fundamental research in mathematics and statistics that directly targets the growing challenges created by modern computing and modern data. The core idea is that science and engineering are increasingly driven by large-scale computational modeling and simulation, alongside an explosion of digital, experimental, and observational data. This program is designed to push the mathematical and statistical foundations needed to make those computational and data-intensive approaches more reliable, scalable, interpretable, and ultimately more useful to researchers and practitioners.
The program focuses on developing the next generation of mathematical and statistical theories, methods, and tools that can keep pace with these shifts. In practical terms, NSF is looking for proposals where the main intellectual contribution is a significant advance in mathematics or statistics, but one that is motivated by and responsive to computational or big-data realities. That includes work that addresses issues such as the limits of computation, uncertainty and error in simulations, algorithmic efficiency, high-dimensional inference, data integration, validation of complex models, reproducibility, and other foundational questions that arise when computations and datasets become too large, too noisy, too complex, or too interconnected for traditional approaches.
CDSampE-MSS sits within NSF's broader Computational and Data-enabled Science and Engineering (CDSampE) enterprise, which treats computation and data as a cross-cutting discipline that reshapes how research is done across many fields. Within that larger effort, this specific program is anchored in the mathematical and statistical sciences and expects proposals to be led (or co-led) by a Principal Investigator or co-Principal Investigator who is an active researcher in an area supported by NSF's Division of Mathematical Sciences. At the same time, the program explicitly encourages multidisciplinary collaboration, meaning proposals can and often should connect mathematicians and statisticians with domain scientists, engineers, or computational researchers when that partnership strengthens the research agenda and helps ensure the mathematical or statistical advances are grounded in real computational or data-driven needs.
A notable emphasis is also placed on workforce development and community building: the program encourages projects that help train mathematicians and statisticians in CDSampE-related research directions. This can include research experiences that bridge theory with computation and data, collaborative structures that expose students and postdocs to interdisciplinary problems, and project designs that cultivate researchers who are fluent in both rigorous mathematical or statistical thinking and the practical demands of computational modeling or large-scale data analysis.
From an administrative standpoint, the opportunity is offered as a discretionary NSF grant under the Science and Technology and other Research and Development activity category. It is associated with CFDA numbers 47.049 and 47.070. Eligibility is listed as unrestricted, meaning the competition is generally open to a wide range of applicant organizations, subject to any additional eligibility clarifications in the full solicitation. The opportunity posting indicates an award ceiling of $1,000,000, with an expectation of around 20 awards. The listed timeline for the original posting shows a creation date of October 5, 2016, and an original closing date of December 9, 2016.
Overall, CDSampE-MSS is best understood as an NSF mechanism for strengthening the mathematical and statistical backbone of computational and data-enabled research. Competitive proposals are those that make a clear case for why new or deeper mathematics or statistics is needed because of computational modeling, simulation, or large-scale data challenges, and then deliver a research plan that produces fundamental advances with lasting value beyond any single application area.
Frequently Asked Questions (FAQs)
What is the CDSampE-MSS funding opportunity?
CDSampE-MSS stands for "Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences." It is a National Science Foundation (NSF) funding opportunity (Funding Opportunity Number PD 16 8069) that supports fundamental research in mathematics and statistics aimed at addressing challenges created by modern computing and modern data.
What is the main goal of this NSF program?
The program aims to strengthen and advance the mathematical and statistical foundations needed for computational modeling, simulation, and data-intensive research. The intent is to make computational and data-driven approaches more reliable, scalable, interpretable, and useful across research and practice.
What kinds of research does CDSampE-MSS support?
The program supports research where the primary intellectual contribution is a significant advance in mathematics or statistics, and where that advance is motivated by computational realities or large-scale data needs. The research should directly target challenges that emerge when computations and datasets are large, complex, noisy, or interconnected.
What research challenges are specifically highlighted by the program?
Examples of challenges described in the opportunity include the limits of computation, uncertainty and error in simulations, algorithmic efficiency, high-dimensional inference, data integration, validation of complex models, and reproducibility. The program also points to broader foundational questions that arise in computational and data-enabled settings.
Is this program focused on applications or on fundamentals?
It is fundamentally focused. While proposals may be inspired by real computational modeling or data-driven needs (and may involve domain connections), the core expectation is that the project delivers fundamental advances in mathematics or statistics with lasting value beyond a single application area.
How does CDSampE-MSS relate to NSF's broader CDSampE enterprise?
CDSampE-MSS is part of NSF's broader Computational and Data-enabled Science and Engineering (CDSampE) enterprise, which treats computation and data as cross-cutting drivers of change across many research fields. This specific opportunity is the part of that broader effort that is anchored in the mathematical and statistical sciences.
Who is expected to lead the project?
The program expects proposals to be led (or co-led) by a Principal Investigator (PI) or co-Principal Investigator (co-PI) who is an active researcher in an area supported by NSF's Division of Mathematical Sciences.
Are multidisciplinary or collaborative proposals encouraged?
Yes. The opportunity explicitly encourages multidisciplinary collaboration, including projects that connect mathematicians and statisticians with domain scientists, engineers, or computational researchers when that partnership strengthens the research agenda and grounds the work in real computational or data-driven challenges.
What does the program mean by "computational and data-enabled" research?
In this context, it refers to research driven by large-scale computational modeling and simulation as well as the growth of digital, experimental, and observational datasets. The program is focused on the mathematical and statistical work needed to support these approaches at modern scales.
Does the program include an emphasis on training or workforce development?
Yes. Workforce development and community building are notable emphases. The program encourages projects that train mathematicians and statisticians in CDSampE-related directions, including experiences that bridge theory with computation and data, and collaborative structures that expose students and postdocs to interdisciplinary problems.
What kinds of educational or community-building activities are suggested?
The opportunity mentions training approaches such as research experiences that connect theory to computation and data, collaborative structures that broaden interdisciplinary exposure, and project designs that cultivate researchers who can operate fluently in both rigorous mathematical/statistical thinking and practical computational/data settings.
What type of award is this, administratively?
It is offered as a discretionary NSF grant under the category "Science and Technology and other Research and Development."
What CFDA numbers are associated with this opportunity?
The opportunity is associated with CFDA numbers 47.049 and 47.070.
Who is eligible to apply?
Eligibility is listed as unrestricted, meaning the competition is generally open to a wide range of applicant organizations, subject to any additional eligibility clarifications that may appear in the full solicitation.
What is the award ceiling for this opportunity?
The posting indicates an award ceiling of $1,000,000.
About how many awards does NSF expect to make under this opportunity?
The opportunity indicates an expectation of around 20 awards.
What are the key dates listed in the opportunity posting?
The listed timeline shows a creation date of October 5, 2016, and an original closing date of December 9, 2016.
What makes a proposal competitive for CDSampE-MSS based on the description provided?
Competitive proposals make a clear case that new or deeper mathematics or statistics is needed because of computational modeling, simulation, or large-scale data challenges, and then present a research plan that produces fundamental advances with value that extends beyond any single application area.
Does the program require proposals to be connected to real computational or big-data problems?
The program is designed for work that is motivated by and responsive to computational or big-data realities. It encourages grounding mathematical and statistical advances in real computational modeling or data-driven needs, especially through collaboration when appropriate.
Is the focus limited to a specific scientific or engineering domain?
The description frames CDSampE as cross-cutting across many fields, while this program is anchored in mathematics and statistics. It does not specify a single domain focus; instead, it emphasizes foundational mathematical and statistical advances that support computational and data-enabled research broadly.
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