NSF Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences | Due Sep 17, 2018 - Florida Climate Institute

**Some programs are limited. Please read solicitations carefully and consult your Office of Research for specifics, such as limited applications through your university and internal application deadlines.**

The CDS&E-MSS program accepts proposals that confront and embrace the host of 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 such issues. To this end, the program will support fundamental research in mathematics and statistics whose primary emphasis will be on meeting the aforementioned computational and data-related challenges. 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.

The research supported by the CDS&E-MSS program will aim to advance mathematics or statistics in a significant way and will address computational or big-data challenges.  Proposals of interest to the program will include a Principal Investigator or co-Principal Investigator who is a researcher in the mathematical or statistical sciences in an area supported by the Division of Mathematical Sciences.  The program encourages submission of proposals that include multidisciplinary collaborations or the training of mathematicians and statisticians in CDS&E.

Deadline: September 17, 2018

Announcement: https://www.grants.gov/web/grants/view-opportunity.html?oppId=302274