Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences
The summary for the Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences grant is detailed below.
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Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences: The CDS&E-MSS program accepts proposals that confront and embrace the<br />host of mathematical and statistical challenges presented to the<br />scientific and engineering communities by the ever-expanding role of<br />computational modeling and simulation on the one hand, and the explosion<br />in production of digital and observational data on the other. The goal<br />of the program is to promote the creation and development of the next<br />generation of mathematical and statistical theories and tools that will<br />be essential for addressing such issues. To this end, the program will<br />support fundamental research in mathematics and statistics whose primary<br />emphasis will be on meeting the aforementioned computational and<br />data-related challenges. This program is part of the wider Computational<br />and Data-enabled Science and Engineering (CDS&E) enterprise in NSF that<br />seeks to address this emerging discipline; see <a href="http://www.nsf.gov/mps/cds-e/">http://www.nsf.gov/mps/cds-e/</a> The research supported by the CDS&E-MSS program will aim to advance<br />mathematics or statistics in a significant way and will address<br />computational or big-data challenges. Proposals of interest to the<br />program will include a Principal Investigator or co-Principal<br />Investigator who is a researcher in the mathematical or statistical<br />sciences in an area supported by the Division of Mathematical Sciences.<br />The program encourages submission of proposals that include<br />multidisciplinary collaborations or the training of mathematicians and<br />statisticians in CDS&E.<br /><br /><br />
Federal Grant Title: | Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences |
Federal Agency Name: | National Science Foundation (NSF) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | PD-16-8069 |
Type of Funding: | Grant |
CFDA Numbers: | 47.049, 47.070 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | December 9th, 2016 |
Original Application Deadline: | December 9th, 2016 |
Posted Date: | October 5th, 2016 |
Creation Date: | October 5th, 2016 |
Archive Date: | January 8th, 2026 |
Total Program Funding: | $5,000,000 |
Maximum Federal Grant Award: | $1,000,000 |
Minimum Federal Grant Award: | $20,000 |
Expected Number of Awards: | 20 |
Cost Sharing or Matching: | No |
Last Updated: | October 5th, 2016 |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Link to Full Grant Announcement
- NSF Program Desccription PD-16-8069
- Grant Announcement Contact
- NSF grants.gov support
[email protected]
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