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Data Science in the Public Interest: Improving Government Performance in the Workforce

Editor

Listed:
  • Joshua D. Hawley
    (Ohio State University)

Abstract
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.

Suggested Citation

  • Joshua D. Hawley (ed.), 2020. "Data Science in the Public Interest: Improving Government Performance in the Workforce," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number dspi, December.
    • Handle: RePEc:upj:ubooks:dspi
    DOI: 10.17848/9780880996754
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    More about this item

    Keywords

    data; big data; workforce development; WIOA; states; performance management; job training; Ohio;
    All these keywords.

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy

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