How Algorithms Inscribe the Understanding of Crime in Police Work

Research output: Contribution to ConferencePaperAcademic

Abstract

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 algorithms influences traditional work practices.

Conference

ConferenceAcademy of Management Specialized Conference: Big Data and Managing in a Digital Economy
CountryUnited Kingdom
CitySurrey
Period18/04/1820/04/18
Internet address

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police
offense
police officer
environmental crime
field of study
research focus

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Waardenburg, L., Sergeeva, A., & Huysman, M. (2018). How Algorithms Inscribe the Understanding of Crime in Police Work. Paper presented at Academy of Management Specialized Conference: Big Data and Managing in a Digital Economy, Surrey, United Kingdom.
Waardenburg, L. ; Sergeeva, A. ; Huysman, Marleen. / How Algorithms Inscribe the Understanding of Crime in Police Work. Paper presented at Academy of Management Specialized Conference: Big Data and Managing in a Digital Economy, Surrey, United Kingdom.
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Waardenburg, L, Sergeeva, A & Huysman, M 2018, 'How Algorithms Inscribe the Understanding of Crime in Police Work' Paper presented at Academy of Management Specialized Conference: Big Data and Managing in a Digital Economy, Surrey, United Kingdom, 18/04/18 - 20/04/18, .

How Algorithms Inscribe the Understanding of Crime in Police Work. / Waardenburg, L.; Sergeeva, A.; Huysman, Marleen.

2018. Paper presented at Academy of Management Specialized Conference: Big Data and Managing in a Digital Economy, Surrey, United Kingdom.

Research output: Contribution to ConferencePaperAcademic

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AB - 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 algorithms influences traditional work practices.

M3 - Paper

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Waardenburg L, Sergeeva A, Huysman M. How Algorithms Inscribe the Understanding of Crime in Police Work. 2018. Paper presented at Academy of Management Specialized Conference: Big Data and Managing in a Digital Economy, Surrey, United Kingdom.