The Politics and Biases of the “Crime Anticipation System” of the Dutch Police

Serena Oosterloo, Gerwin van Schie

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In line with developments in many areas of business and governance, where bureaucracies of all sorts are increasingly datafied for budgetary reasons and the additional possibilities for automated analysis, the Dutch Police started with so-called Intelligence-Led Policing. This development led to the creation of the Crime Anticipation System (CAS). This data-driven system tries to predict crimes with statistics based on three data sources: BVI (Central Crime Database), GBA (Municipal Administration) and CBS (Demographics from Statistics Netherlands). By analyzing the used data categories with a critical data studies approach, we will show that the epistemological question concerning predictive policing systems turns into an ontological one: how are living environments and police work mutually shaped and determined by data? We will argue that intelligence-driven policing is not only a qualitative shift, but also has its continuities, since already existing ideas and biases concerning suspects and crimes are reproduced in the information and system of CAS.
Original languageEnglish
Title of host publicationProceedings of the International Workshop on Bias in Information, Algorithms, and Systems
Subtitle of host publicationSheffield, United Kingdom, March 25, 2018
EditorsJo Bates, Paul. D. Clough, Robert Jäschke, Jahna Otterbacher
Place of PublicationSheffield
PublisherCEUR WS
Pages30-41
Number of pages12
Publication statusPublished - 2018

Publication series

NameCEUR Workshop Proceedings
Volume2103
ISSN (Print)1613-0073

Keywords

  • Predictive policing
  • intelligence-driven policing
  • critical data studies
  • data visualization
  • information bias

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