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Smart Policing: A Critical Review of the Literature

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Electronic Government (EGOV 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12219))

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Abstract

Smart policing refers to the application of data-driven approaches by police authorities. Although the concept is not new, the vast availability of potentially relevant data sources in policing calls for a critical and consolidated review of the literature. To synthesise the evidence on smart policing, we present a systematic review of 112 articles across all relevant disciplines. Earlier work has concentrated on social media communications or predictive policing while this review identifies several new applications associated with new forms of data and their corresponding roles to policing. We develop a framework to show the connections between smart use of data and police approaches and strategies. We discuss how smart policing can be an area of increased interest in digital government and public management research.

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Author information

Authors and Affiliations

  1. Queen Mary University of London, London, UK

    Muhammad Afzal & Panos Panagiotopoulos

Authors
  1. Muhammad Afzal
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  2. Panos Panagiotopoulos
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Corresponding author

Correspondence to Muhammad Afzal .

Editor information

Editors and Affiliations

  1. Danube University Krems, Krems, Austria

    Gabriela Viale Pereira

  2. Delft University of Technology, Delft, The Netherlands

    Marijn Janssen

  3. Brunel University London, Uxbridge, UK

    Habin Lee

  4. Linköping University, Linköping, Sweden

    Ida Lindgren

  5. University of Granada, Granada, Spain

    Manuel Pedro Rodríguez Bolívar

  6. University of Washington, Seattle, WA, USA

    Hans Jochen Scholl

  7. Delft University of Technology, Delft, The Netherlands

    Anneke Zuiderwijk

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Afzal, M., Panagiotopoulos, P. (2020). Smart Policing: A Critical Review of the Literature. In: Viale Pereira, G., et al. Electronic Government. EGOV 2020. Lecture Notes in Computer Science(), vol 12219. Springer, Cham. https://doi.org/10.1007/978-3-030-57599-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-57599-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57598-4

  • Online ISBN: 978-3-030-57599-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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