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

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"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 standa...

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Detalles Bibliográficos
Autor principal: Hawley, Joshua D. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Kalamazoo, Michigan : W.E. Upjohn Institute for Employment Research, 2020.
Colección:Book collections on Project MUSE.
Temas:
Manpower policy.
Labor supply > Statistical methods.
Labor policy.
Labor market > Statistical methods.
Big data.
POLITICAL SCIENCE / Public Policy / Economic Policy
Donnees volumineuses.
Marche du travail > États-Unis > Methodes statistiques.
Travail > Politique gouvernementale > États-Unis.
Labor market > United States > Statistical methods.
Labor supply > United States > Statistical methods.
Labor policy > United States.
Manpower policy > United States.
United States.
Electronic books.
Acceso en línea:Texto completo
Descripción
Sumario:"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"--
Descripción Física:1 online resource.
ISBN:9780880996754

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