Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions PDF
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THE NATIONAL ACADEMIES PRESS This PDF is available at http://www.nap.edu/23670 SHARE Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions DETAILS 164 pages | 6 x 9 | PAPERBACK ISBN 978-0-309-45078-2 | DOI: 10.17226/23670 CONTRIBUTORS Committee on Strengthening Data Science Methods for Department GET THIS BOOK of Defense Personnel and Readiness Missions; Committee on Applied and Theoretical Statistics; Board on Mathematical Sciences and Their Applications; Division on Engineering and Physical FIND RELATED TITLES Sciences; National Academies of Sciences, Engineering, and Medicine Visit the National Academies Press at NAP.edu and login or register to get: – Access to free PDF downloads of thousands of scientific reports – 10% off the price of print titles – Email or social media notifications of new titles related to your interests – Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. (Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. 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 THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 This project was supported by Contract No. HQ0034-10-D-0003 TO#12 with the U.S. Department of Defense and Grant No. H98230-14-1-0116 from the National Security Agency. Any opinions, findings, conclusions, or recommendations ex- 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 Additional copies of this report are available for sale from the National Academies Press, 500 Fifth Street, NW, Keck 360, Washington, DC 20001; (800) 624-6242 or (202) 334-3313; http://www.nap.edu. Copyright 2017 by the National Academy of Sciences. All rights reserved. Printed in the United States of America 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 The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, nongovernmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president. The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contri- butions to engineering. Dr. C. D. Mote, Jr., is president. The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president. The three Academies work together as the National Academies of Sciences, Engi- neering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine. Learn more about the National Academies of Sciences, Engineering, and Medicine at www.national-academies.org. Copyright © National Academy of Sciences. All rights reserved. Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions Reports document the evidence-based consensus of an authoring committee of experts. Reports typically include findings, conclusions, and recommendations based on information gathered by the committee and committee deliberations. Reports are peer reviewed and are approved by the National Academies of Sciences, Engineering, and Medicine. Proceedings chronicle the presentations and discussions at a workshop, sym- posium, or other convening event. The statements and opinions contained in proceedings are those of the participants and have not been endorsed by other participants, the planning committee, or the National Academies of Sciences, Engineering, and Medicine. For information about other products and activities of the National Academies, please visit nationalacademies.org/whatwedo. Copyright © National Academy of Sciences. All rights reserved. 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.
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