Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
This grant supports researchers in mathematical and statistical sciences to develop innovative tools and theories that address challenges in computation and big data, while fostering collaboration and training for early-career scientists.
Description
The **Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)** program, offered through the National Science Foundation (NSF), supports research focused on the development of next-generation mathematical and statistical tools, along with the theoretical foundations underpinning those tools, to address computational and big-data challenges. This program is part of NSF's broader **Computational and Data-Enabled Science and Engineering (CDS&E)** initiative.
The primary goal of CDS&E-MSS is to advance mathematics or statistics significantly while tackling challenges presented by the increasing role of computational experimentation, modeling, and simulation, as well as the explosion of digital data production and analysis. Research projects must involve investigators engaged in areas supported by the Division of Mathematical Sciences (DMS). Projects of interest should focus on developing mathematical or statistical software tools and advancing theoretical approaches to meet the demands of modern computational science and big-data applications.
The program encourages proposals that involve **multidisciplinary collaborations** and opportunities for **training junior researchers**, including early-career mathematicians or statisticians, through research. Collaboration across disciplines can help maximize the scientific impact of the tools and theories developed. Proposals must include at least one Principal Investigator (PI) or co-Principal Investigator (co-PI) with a background in mathematical sciences.
While the program emphasizes a clear connection to mathematical or statistical research, it is aligned with NSF's broader Harnessing the Data Revolution (HDR) initiative, highlighting its role in supporting advancements in data science, modeling, and analytics across scientific domains. Submissions must demonstrate a novel approach to addressing challenges in computation or data analysis that require mathematical or statistical innovation.
Proposals must be submitted through **Research.gov** or **Grants.gov** and must adhere to the **NSF Proposal & Award Policies & Procedures Guide (PAPPG)** guidelines. These requirements include specific formatting, eligibility, and budgetary instructions. Researchers are responsible for ensuring their proposals comply with all applicable guidelines before submission.
At present, the CDS&E-MSS program (PD 22-8069) is **not accepting proposals**. Researchers are encouraged to monitor NSF announcements for future funding opportunities and updated deadlines. For more information, applicants can contact program officers, including Jodi Mead, Lisa G. Davis, Tapabrata Maiti, Christopher W. Stark, and Yong Zeng, whose contact details are provided on the program page.
Additional resources, such as funded project awards, related programs, and NSF initiatives, are available to help researchers align their proposals with NSF priorities. Researchers can also explore opportunities for collaboration and training to enhance the impact of their projects.