Predictive policing: How algorithms inscribe the understanding of crime in police work

L. Waardenburg, A. Sergeeva, Marleen Huysman

Research output: Contribution to ConferenceAbstractProfessional


This research focuses on the consequences of the shift to data-driven work for daily police work. Our ongoing ethnographic field study of a team of police officers shows that predictive policing algorithms inscribe a different crime theory-in-use-i.e., the understanding of why crime occurs and how it should be prevented-that influences daily police work. Instead of having a social-environmental crime perspective, police officers are shifting attention towards features of the physical environment as explanations of why crime occurs. Our preliminary findings have implications for debates on the consequences of data analytics by showing how the different theory-in-use inscribed in data-driven work influences traditional work practices.
Original languageEnglish
Publication statusPublished - Apr 2018
EventAcademy of Management Specialized Conference 2018: Big Data and Managing in a Digital Economy - University of Surrey, Surrey, United Kingdom
Duration: 18 Apr 201820 Apr 2018


ConferenceAcademy of Management Specialized Conference 2018
Abbreviated titleAOM big data 2018
Country/TerritoryUnited Kingdom
Internet address


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