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Title: DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter

Abstract

Simulation and computing are essential to much of the research conducted at the DOE national laboratories. Experts in the ASCR ¬relevant Computing Sciences, which encompass a range of disciplines including Computer Science, Applied Mathematics, Statistics and domain Computational Sciences, are an essential element of the workforce in nearly all of the DOE national laboratories. This report seeks to identify the gaps and challenges facing DOE with respect to this workforce. This letter is ASCAC’s response to the charge of February 19, 2014 to identify disciplines in which significantly greater emphasis in workforce training at the graduate or postdoctoral levels is necessary to address workforce gaps in current and future Office of Science mission needs.

Authors:
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [9];  [5]
  1. University of Houston
  2. Total SA
  3. Lawrence Berkeley National Laboratory, University of California, Davis
  4. University of Tennessee
  5. Lawrence Livermore National Laboratory
  6. NCSA, University of Illinois Urbana-Champaign
  7. Rice University
  8. Advanced Biomedical Computing Center
  9. Oak Ridge National Laboratory
Publication Date:
Research Org.:
USDOE Office of Science (SC) (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
OSTI Identifier:
1222711
Resource Type:
Program Document
Country of Publication:
United States
Language:
English
Subject:
96 KNOWLEDGE MANAGEMENT AND PRESERVATION; 97 MATHEMATICS AND COMPUTING; Workforce; Computing Sciences; Computer Science, Applied Mathematics, High Performance Computing, Computational Sciences, Advanced Networking, Advanced Scientific Computing Advisory Committee (ASCAC); Planning; Education; Training

Citation Formats

Chapman, Barbara, Calandra, Henri, Crivelli, Silvia, Dongarra, Jack, Hittinger, Jeffrey, Lathrop, Scott A., Sarkar, Vivek, Stahlberg, Eric, Vetter, Jeffrey S., and Williams, Dean. DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter. United States: N. p., 2014. Web. doi:10.2172/1222711.
Chapman, Barbara, Calandra, Henri, Crivelli, Silvia, Dongarra, Jack, Hittinger, Jeffrey, Lathrop, Scott A., Sarkar, Vivek, Stahlberg, Eric, Vetter, Jeffrey S., & Williams, Dean. DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter. United States. https://doi.org/10.2172/1222711
Chapman, Barbara, Calandra, Henri, Crivelli, Silvia, Dongarra, Jack, Hittinger, Jeffrey, Lathrop, Scott A., Sarkar, Vivek, Stahlberg, Eric, Vetter, Jeffrey S., and Williams, Dean. 2014. "DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter". United States. https://doi.org/10.2172/1222711. https://www.osti.gov/servlets/purl/1222711.
@article{osti_1222711,
title = {DOE Advanced Scientific Advisory Committee (ASCAC): Workforce Subcommittee Letter},
author = {Chapman, Barbara and Calandra, Henri and Crivelli, Silvia and Dongarra, Jack and Hittinger, Jeffrey and Lathrop, Scott A. and Sarkar, Vivek and Stahlberg, Eric and Vetter, Jeffrey S. and Williams, Dean},
abstractNote = {Simulation and computing are essential to much of the research conducted at the DOE national laboratories. Experts in the ASCR ¬relevant Computing Sciences, which encompass a range of disciplines including Computer Science, Applied Mathematics, Statistics and domain Computational Sciences, are an essential element of the workforce in nearly all of the DOE national laboratories. This report seeks to identify the gaps and challenges facing DOE with respect to this workforce. This letter is ASCAC’s response to the charge of February 19, 2014 to identify disciplines in which significantly greater emphasis in workforce training at the graduate or postdoctoral levels is necessary to address workforce gaps in current and future Office of Science mission needs.},
doi = {10.2172/1222711},
url = {https://www.osti.gov/biblio/1222711}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 23 00:00:00 EDT 2014},
month = {Wed Jul 23 00:00:00 EDT 2014}
}

Program Document:
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