rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Policy Analytics, Modelling, and Informatics
    sub title: Innovative Tools for Solving Complex Social Problems
  name:
    name part: Gil-Garcia, J Ramon.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Pardo, Theresa A.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Luna-Reyes, Luis F.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 433 p. 86 illus., 81 illus. in color. online resource.
  abstract: This book provides a comprehensive approach to the study of policy analytics, modelling and informatics. It includes theories and concepts for understanding tools and techniques used by governments seeking to improve decision making through the use of technology, data, modelling, and other analytics, and provides relevant case studies and practical recommendations. Governments around the world face policy issues that require strategies and solutions using new technologies, new access to data and new analytical tools and techniques such as computer simulation, geographic information systems, and social network analysis for the successful implementation of public policy and government programs. Chapters include cases, concepts, methodologies, theories, experiences, and practical recommendations on data analytics and modelling for public policy and practice, and addresses a diversity of data tools, applied to different policy stages in several contexts, and levels and branches of government. This book will be of interest of researchers, students, and practitioners in e-government, public policy, public administration, policy analytics and policy informatics.
  table of contents: Foreword -- Preface -- Section one: Definitions, Concepts, and Theoretical Approaches -- Section two: Methodologies, Tools, and Strategies for Evaluation and Assessment -- Section three: Empirical Studies and Cases, lessons to be learn -- Section four: Practical Recommendations -- Conclusions -- References.
  note: edited by J Ramon Gil-Garcia, Theresa A. Pardo, Luis F. Luna-Reyes.
  subject:
    topic: Public policy
  subject:
    topic: Public administration
  subject:
    topic: Big data
  subject:
    topic: Public Policy
  subject:
    topic: Public Administration
  subject:
    topic: Big Data/Analytics
  classification: JF1525.P6
  classification: 320.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Public Administration and Information Technology, 25
  identifier: 9783319617626
  identifier: https://doi.org/10.1007/978-3-319-61762-6
  record info:
    record creation date: 171003
    record change date: 20190703221347.0
    record identifier: 978-3-319-61762-6