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Computational and Data-Enabled Science and Engineering in Mathematical and Statistical Sciences (CDS&E-MSS)

 

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Wednesday, December 09, 2015
 

Summary:

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; see http://www.nsf.gov/mps/cds-e/

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.

For more information, please visit:

http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504687&WT.mc_id=USNSF_39&WT.mc_ev=click

 
 

 

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