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|a 1178893211
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|a 0880996757
|q electronic book
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|a 9780880996754
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|a 331.12/042028557
|2 23
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|a UAMI
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|a Hawley, Joshua D.,
|e author.
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|a Data science in the public interest :
|b improving government performance in the workforce /
|c Joshua D. Hawley.
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|a Kalamazoo, Michigan :
|b W.E. Upjohn Institute for Employment Research,
|c 2020.
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|c ©2020
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300 |
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|a 1 online resource (xiii, 137 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references and index.
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|a "This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed to serve federal agency requirements and discusses how government can improve data gathering and analysis to provide better, up-to-date information for government decision making"--
|c Provided by publisher.
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|a Description based on online resource; title from digital title page (viewed on July 30, 2020).
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0 |
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|a Intro -- Title page -- Copyright page -- Contents -- List of Abbreviations -- Preface -- Acknowledgments -- 1 -- Workforce Data and Government -- 2 -- What Is the Role of Government in the Workforce? -- 3 -- Evidence-Based Decision Making -- 4 -- What Works in Performance Measurement: Improving the Use of Data in State and Local Workforce Systems -- Appendix 4A: Legal Regulations That Inform Data Sharing -- Appendix 4B: Governance Suggestions -- 5 -- Performance Management for Workforce Development -- 6 -- Improving Engagement and Methods to Strengthen Data Use -- References -- Author -- Index
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|a JSTOR
|b Books at JSTOR Open Access
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590 |
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|a JSTOR
|b Books at JSTOR All Purchased
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650 |
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|a Manpower policy
|z United States.
|
650 |
|
0 |
|a Labor policy
|z United States.
|
650 |
|
0 |
|a Labor supply
|z United States
|x Statistical methods.
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650 |
|
0 |
|a Labor market
|z United States
|x Statistical methods.
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650 |
|
0 |
|a Big data.
|
650 |
|
6 |
|a Travail
|x Politique gouvernementale
|z États-Unis.
|
650 |
|
6 |
|a Marché du travail
|z États-Unis
|x Méthodes statistiques.
|
650 |
|
6 |
|a Données volumineuses.
|
650 |
|
7 |
|a POLITICAL SCIENCE / Public Policy / Economic Policy
|2 bisacsh
|
650 |
|
7 |
|a Big data
|2 fast
|
650 |
|
7 |
|a Labor market
|x Statistical methods
|2 fast
|
650 |
|
7 |
|a Labor policy
|2 fast
|
650 |
|
7 |
|a Labor supply
|x Statistical methods
|2 fast
|
650 |
|
7 |
|a Manpower policy
|2 fast
|
651 |
|
7 |
|a United States
|2 fast
|
776 |
0 |
8 |
|i Print version:
|a Hawley, Joshua D..
|t Data science in the public interest
|d Kalamazoo, Michigan : W.E. Upjohn Institute for Employment Research, 2020.
|z 9780880996747
|w (DLC) 2020007603
|
856 |
4 |
0 |
|u https://jstor.uam.elogim.com/stable/10.2307/j.ctv14npjgw
|z Texto completo
|
938 |
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|a ProQuest Ebook Central
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