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. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Science Foundation, which is the U.S. government agency offering this grant.

Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences: The CDS&amp;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&amp;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&amp;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&amp;E.<br /><br /><br />