Digitizing crime: How the use of predictive policing influences police work practices

Research output: Contribution to ConferencePaperAcademic

Abstract

This paper reports on an ongoing ethnographic study on knowledge production through the use of analytics in police work. Based on an analysis of work practices of so-called “intelligence officers” and police action, we show that there is an important role for intermediaries – those who are in-between designers and users – who make analytics actionable. We find that the work of intermediaries includes three contextualizing practices: (1) validating, (2) filtering, and (3) supplementing. These practices are deemed necessary by both intelligence and police officers, as they give a richer and more concrete explanation to algorithmic outputs and create actionable knowledge. At the same time, these practices shape what knowledge is considered useful and which contextual factors will be taken into account.
Original languageEnglish
Publication statusUnpublished - 20 Jun 2018
Event34th European Group for Organizational Studies (EGOS) Colloquium: Surprise in and around Organizations: Journeys to the Unexpected - Tallinn, Estonia
Duration: 5 Jul 20187 Jul 2018
Conference number: 34

Conference

Conference34th European Group for Organizational Studies (EGOS) Colloquium
Abbreviated titleEGOS
CountryEstonia
CityTallinn
Period5/07/187/07/18

Fingerprint

police
offense
knowledge production
police officer
intelligence

Keywords

  • analytics
  • predictive policing
  • knowledge
  • sociomateriality

Cite this

Waardenburg, L., Sergeeva, A., & Huysman, M. (2018). Digitizing crime: How the use of predictive policing influences police work practices. Paper presented at 34th European Group for Organizational Studies (EGOS) Colloquium, Tallinn, Estonia.
Waardenburg, L. ; Sergeeva, A. ; Huysman, Marleen. / Digitizing crime : How the use of predictive policing influences police work practices. Paper presented at 34th European Group for Organizational Studies (EGOS) Colloquium, Tallinn, Estonia.
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Waardenburg, L, Sergeeva, A & Huysman, M 2018, 'Digitizing crime: How the use of predictive policing influences police work practices' Paper presented at 34th European Group for Organizational Studies (EGOS) Colloquium, Tallinn, Estonia, 5/07/18 - 7/07/18, .

Digitizing crime : How the use of predictive policing influences police work practices. / Waardenburg, L.; Sergeeva, A.; Huysman, Marleen.

2018. Paper presented at 34th European Group for Organizational Studies (EGOS) Colloquium, Tallinn, Estonia.

Research output: Contribution to ConferencePaperAcademic

TY - CONF

T1 - Digitizing crime

T2 - How the use of predictive policing influences police work practices

AU - Waardenburg, L.

AU - Sergeeva, A.

AU - Huysman, Marleen

PY - 2018/6/20

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N2 - This paper reports on an ongoing ethnographic study on knowledge production through the use of analytics in police work. Based on an analysis of work practices of so-called “intelligence officers” and police action, we show that there is an important role for intermediaries – those who are in-between designers and users – who make analytics actionable. We find that the work of intermediaries includes three contextualizing practices: (1) validating, (2) filtering, and (3) supplementing. These practices are deemed necessary by both intelligence and police officers, as they give a richer and more concrete explanation to algorithmic outputs and create actionable knowledge. At the same time, these practices shape what knowledge is considered useful and which contextual factors will be taken into account.

AB - This paper reports on an ongoing ethnographic study on knowledge production through the use of analytics in police work. Based on an analysis of work practices of so-called “intelligence officers” and police action, we show that there is an important role for intermediaries – those who are in-between designers and users – who make analytics actionable. We find that the work of intermediaries includes three contextualizing practices: (1) validating, (2) filtering, and (3) supplementing. These practices are deemed necessary by both intelligence and police officers, as they give a richer and more concrete explanation to algorithmic outputs and create actionable knowledge. At the same time, these practices shape what knowledge is considered useful and which contextual factors will be taken into account.

KW - analytics

KW - predictive policing

KW - knowledge

KW - sociomateriality

M3 - Paper

ER -

Waardenburg L, Sergeeva A, Huysman M. Digitizing crime: How the use of predictive policing influences police work practices. 2018. Paper presented at 34th European Group for Organizational Studies (EGOS) Colloquium, Tallinn, Estonia.