Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions

165 Pages·2017·1.53 MB·English

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Strengthening Data Science Methods for Department of
Defense Personnel and Readiness Missions
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ISBN 978-0-309-45078-2 | DOI: 10.17226/23670
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Committee on Strengthening Data Science Methods for Department
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of Defense Personnel and Readiness Missions; Committee on
Applied and Theoretical Statistics; Board on Mathematical Sciences
and Their Applications; Division on Engineering and Physical
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Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
Committee on Strengthening Data Science Methods for
Department of Defense Personnel and Readiness Missions
Committee on Applied and Theoretical Statistics
Board on Mathematical Sciences and Their Applications
Division on Engineering and Physical Sciences
A Report of
Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
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This project was supported by Contract No. HQ0034-10-D-0003 TO#12 with the
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pressed in this publication do not necessarily reflect the view of any organization
or agency that provided support for the project.
International Standard Book Number 13: 978-0-309-45078-2
International Standard Book Number 10: 0-309-45078-0
Digital Object Identifier: 10.17226/23670
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Suggested citation: National Academies of Sciences, Engineering, and Medicine.
2017. Strengthening Data Science Methods for Department of Defense P ersonnel
and Readiness Missions. Washington, DC: The National Academies Press.
doi:10.17226/23670.
Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
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Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
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Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
COMMITTEE ON STRENGTHENING DATA SCIENCE
METHODS FOR DEPARTMENT OF DEFENSE
PERSONNEL AND READINESS MISSIONS
STEPHEN M. ROBINSON, NAE,1 University of Wisconsin, Madison,
Chair
PASCALE CARAYON, University of Wisconsin, Madison
DAVID CHU, Institute for Defense Analyses, Alexandria, Virginia
CYNTHIA DWORK, NAS2/NAE, Microsoft Research, Mountain View,
California
TERRY P. HARRISON, Pennsylvania State University, University Park
ALAN F. KARR, RTI International, Research Triangle Park, North Carolina
SALLIE KELLER, Social Decision Analytics Laboratory, Biocomplexity
Institute of Virginia Tech, Arlington
ALAIR MACLEAN, Washington State University, Vancouver
DAVID MAIER, Portland State University, Oregon
STEPHEN M. POLLOCK, NAE, University of Michigan, Ann Arbor
(until June 2015)
PAUL R. SACKETT, University of Minnesota, Minneapolis
MARK S. SQUILLANTE, IBM Research, Yorktown Heights, New York
WILLIAM J. STRICKLAND, HumRRO, Alexandria, Virginia
STEVEN TADELIS, University of California, Berkeley
Staff
MICHELLE K. SCHWALBE, Senior Program Officer, Study Director
SCOTT WEIDMAN, Board Director
CHERIE CHAUVIN, Senior Program Officer
LINDA CASOLA, Senior Program Assistant
RODNEY N. HOWARD, Administrative Assistant
BETH DOLAN, Financial Manager
JONATHAN YANGER, Research Associate
CLAIRE JI, Christine Mirzayan Science and Technology Policy Graduate
Fellow
1 NAE, National Academy of Engineering.
2 NAS, National Academy of Sciences.
v
Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
COMMITTEE ON APPLIED AND THEORETICAL STATISTICS
CONSTANTINE GATSONIS, Brown University, Providence, Rhode
Island, Chair
DEEPAK AGARWAL, LinkedIn, Mountain View, California
KATHERINE BENNETT ENSOR, Rice University, Houston, Texas
MONTSERRAT (MONTSE) FUENTES, North Carolina State University,
Raleigh
ALFRED O. HERO III, University of Michigan, Ann Arbor
DAVID M. HIGDON, Social Decision Analytics Laboratory, Biocomplexity
Institute of Virginia Tech, Arlington
ROBERT E. KASS, Carnegie Mellon University, Pittsburgh, Pennsylvania
JOHN LAFFERTY, University of Chicago, Illinois
XIHONG LIN, Harvard University, Cambridge, Massachusetts
JOSÉ M.F. MOURA, NAE, Carnegie Mellon University, Pittsburgh,
Pennsylvania
SHARON-LISE T. NORMAND, Harvard University, Cambridge,
Massachusetts
GIOVANNI PARMIGIANI, Harvard University, Cambridge,
Massachusetts
ADRIAN RAFTERY, NAS, University of Washington, Seattle
LANCE WALLER, Emory University, Atlanta, Georgia
EUGENE WONG, NAE, University of California, Berkeley
Staff
MICHELLE K. SCHWALBE, Senior Program Officer
RODNEY N. HOWARD, Administrative Assistant
LINDA CASOLA, Senior Program Assistant
BETH DOLAN, Financial Manager
vi
Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
BOARD ON MATHEMATICAL SCIENCES
AND THEIR APPLICATIONS
DONALD G. SAARI, NAS, University of California, Irvine, Chair
DOUGLAS N. ARNOLD, University of Minnesota, Minneapolis
JOHN B. BELL, NAS, Lawrence Berkeley National Laboratory, Berkeley,
California
VICKI M. BIER, University of Wisconsin, Madison
JOHN R. BIRGE, NAE, University of Chicago, Illinois
RONALD R. COIFMAN, NAS, Yale University, New Haven,
Connecticut
L. ANTHONY COX, JR., NAE, Cox Associates, Denver, Colorado
MARK L. GREEN, University of California, Los Angeles
PATRICIA A. JACOBS, Naval Post Graduate School, Monterey,
California
BRYNA KRA, Northwestern University, Evanston, Illinois
JOSEPH A. LANGSAM, Morgan Stanley (retired), Palm Beach Gardens,
Florida
SIMON A. LEVIN, NAS, Princeton University, New Jersey
ANDREW W. LO, Massachusetts Institute of Technology, Cambridge
DAVID MAIER, Portland State University, Oregon
WILLIAM A. MASSEY, Princeton University, New Jersey
JUAN C. MEZA, University of California, Merced
FRED S. ROBERTS, Rutgers University, Piscataway, New Jersey
GUILLERMO SAPIRO, Duke University, Durham, North Carolina
CARL P. SIMON, University of Michigan, Ann Arbor
KATEPALLI SREENIVASAN, NAS/NAE, New York University
ELIZABETH A. THOMPSON, NAS, University of Washington, Seattle
Staff
SCOTT WEIDMAN, Board Director
NEAL GLASSMAN, Senior Program Officer
MICHELLE K. SCHWALBE, Senior Program Officer
RODNEY N. HOWARD, Administrative Assistant
BETH DOLAN, Financial Manager
vii
Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
Copyright © National Academy of Sciences. All rights reserved.
Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions
Acknowledgments
This report has been reviewed in draft form by individuals chosen
for their diverse perspectives and technical expertise. The purpose of this
independent review is to provide candid and critical comments that will
assist the institution in making its published report as sound as possible
and to ensure that the report meets institutional standards for objectivity,
evidence, and responsiveness to the study charge. The review comments
and draft manuscript remain confidential to protect the integrity of the
deliberative process. We wish to thank the following individuals for their
review of this report:
Brenda Dietrich, NAE,1 IBM,
Alexis Fink, Intel,
Christine Fox, Johns Hopkins University Applied Physics Laboratory,
Ronald D. Fricker, Jr., Virginia Polytechnic and State University,
Henry J. Hatch, NAE, U.S. Army (retired),
Carl Hoffmann, Human Capital Management and Performance LLC,
Ronald C. Kessler, NAS2/NAM,3 Harvard Medical School,
Philip Neches, NAE, Teradata,
Stephen M. Pollock, NAE, University of Michigan, and
Michael G. Rumsey, U.S. Army Research Institute (retired).
1 National Academy of Engineering.
2 National Academy of Sciences.
3 National Academy of Medicine.
ix
Copyright © National Academy of Sciences. All rights reserved.