Closing date: September 15, 2020
Expected number of awards: 20
Award amount: Up to $1,000,000
How to apply: Start here
What is the National Science Foundation?
The National Science Foundation (NSF) is an independent agency of the United States government that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health. With an annual budget of about US$7.8 billion, the NSF funds approximately 24% of all federally supported basic research conducted by the United States’ colleges and universities. In some fields, such as mathematics, computer science, economics, and the social sciences, the NSF is the major source of federal backing.
The National Science Foundation strives to invest in a robust and diverse portfolio of projects that creates new knowledge and enables breakthroughs in understanding across all areas of science and engineering research and education. To identify which projects to support, NSF relies on a merit review process that incorporates consideration of both the technical aspects of a proposed project and its potential to contribute more broadly to advancing NSF’s mission “to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense; and for other purposes.” NSF makes every effort to conduct a fair, competitive, transparent merit review process for the selection of projects.
Why computational and data-enabled science and engineering?
The research supported by this program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges. Proposals will include a Principal or co-Principal Investigator who is a researcher in math or statistical sciences, in an area supported by the Division of Mathematical Sciences. They encourage proposals that include multidisciplinary collaborations, or the training of mathematicians and statisticians in CDS&E.
How does this funding work?
This program accepts proposals that confront and embrace the mathematical and statistical challenges presented to the scientific and engineering communities, by the ever-expanding role of computational modeling and simulation on the one hand, and the explosion in production of digital and observational data on the other.
The goal of the program is to promote the creation and development of the next generation of mathematical and statistical theories and tools that will be essential for addressing these issues. This program is part of the wider Computational and Data-enabled Science and Engineering (CDS&E) enterprise in NSF that seeks to address this emerging discipline.
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