How the shift to predictive policing influences police work practices

Research output: Contribution to ConferenceAbstractAcademic

Abstract

We present the first results of an inductive study in the beginning stages addressing the consequences of the shift to analytics technologies for daily work practices. The study is grounded in the empirical case of the shift to “predictive policing” within the Dutch Police. We specifically focus on examining the use of the “Criminal Anticipation System” (CAS), a predictive policing technology developed in-house by the Dutch Police and rolled out in four police stations in the Netherlands in 2014. By the end of 2017, 90 out of 168 Dutch police departments were using CAS and the police organization aims to use it across all 168 by the end of 2018. The preliminary themes emerging from the data include: (1) the changing nature of expertise of intelligence officers and operational police officers in relation to algorithmic outputs (e.g., intelligence officers – behind computer screens – decide for operational police officers what themes are important to focus on in the streets for the next week), (2) the role of algorithms to understand crime (e.g., searching for patterns of criminal behavior that were previously indiscernible), and (3) the impact of digital traces on the occupational status of the intelligence officers (e.g., intelligence officers leveling with criminal investigators).

Seminar

SeminarABRI Research Seminar
CountryNetherlands
CityAmsterdam
Period4/04/184/04/18

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police
police officer
police organization
occupational status
levelling
criminality
expertise
Netherlands
offense

Cite this

@conference{ab73c54e1954417c8184ce70666a719b,
title = "How the shift to predictive policing influences police work practices",
abstract = "We present the first results of an inductive study in the beginning stages addressing the consequences of the shift to analytics technologies for daily work practices. The study is grounded in the empirical case of the shift to “predictive policing” within the Dutch Police. We specifically focus on examining the use of the “Criminal Anticipation System” (CAS), a predictive policing technology developed in-house by the Dutch Police and rolled out in four police stations in the Netherlands in 2014. By the end of 2017, 90 out of 168 Dutch police departments were using CAS and the police organization aims to use it across all 168 by the end of 2018. The preliminary themes emerging from the data include: (1) the changing nature of expertise of intelligence officers and operational police officers in relation to algorithmic outputs (e.g., intelligence officers – behind computer screens – decide for operational police officers what themes are important to focus on in the streets for the next week), (2) the role of algorithms to understand crime (e.g., searching for patterns of criminal behavior that were previously indiscernible), and (3) the impact of digital traces on the occupational status of the intelligence officers (e.g., intelligence officers leveling with criminal investigators).",
author = "L. Waardenburg and A. Sergeeva and Marleen Huysman",
year = "2018",
month = "4",
language = "English",
note = "ABRI Research Seminar ; Conference date: 04-04-2018 Through 04-04-2018",

}

Waardenburg, L, Sergeeva, A & Huysman, M 2018, 'How the shift to predictive policing influences police work practices' ABRI Research Seminar, Amsterdam, Netherlands, 4/04/18 - 4/04/18, .

How the shift to predictive policing influences police work practices. / Waardenburg, L.; Sergeeva, A.; Huysman, Marleen.

2018. Abstract from ABRI Research Seminar, Amsterdam, Netherlands.

Research output: Contribution to ConferenceAbstractAcademic

TY - CONF

T1 - How the shift to predictive policing influences police work practices

AU - Waardenburg, L.

AU - Sergeeva, A.

AU - Huysman, Marleen

PY - 2018/4

Y1 - 2018/4

N2 - We present the first results of an inductive study in the beginning stages addressing the consequences of the shift to analytics technologies for daily work practices. The study is grounded in the empirical case of the shift to “predictive policing” within the Dutch Police. We specifically focus on examining the use of the “Criminal Anticipation System” (CAS), a predictive policing technology developed in-house by the Dutch Police and rolled out in four police stations in the Netherlands in 2014. By the end of 2017, 90 out of 168 Dutch police departments were using CAS and the police organization aims to use it across all 168 by the end of 2018. The preliminary themes emerging from the data include: (1) the changing nature of expertise of intelligence officers and operational police officers in relation to algorithmic outputs (e.g., intelligence officers – behind computer screens – decide for operational police officers what themes are important to focus on in the streets for the next week), (2) the role of algorithms to understand crime (e.g., searching for patterns of criminal behavior that were previously indiscernible), and (3) the impact of digital traces on the occupational status of the intelligence officers (e.g., intelligence officers leveling with criminal investigators).

AB - We present the first results of an inductive study in the beginning stages addressing the consequences of the shift to analytics technologies for daily work practices. The study is grounded in the empirical case of the shift to “predictive policing” within the Dutch Police. We specifically focus on examining the use of the “Criminal Anticipation System” (CAS), a predictive policing technology developed in-house by the Dutch Police and rolled out in four police stations in the Netherlands in 2014. By the end of 2017, 90 out of 168 Dutch police departments were using CAS and the police organization aims to use it across all 168 by the end of 2018. The preliminary themes emerging from the data include: (1) the changing nature of expertise of intelligence officers and operational police officers in relation to algorithmic outputs (e.g., intelligence officers – behind computer screens – decide for operational police officers what themes are important to focus on in the streets for the next week), (2) the role of algorithms to understand crime (e.g., searching for patterns of criminal behavior that were previously indiscernible), and (3) the impact of digital traces on the occupational status of the intelligence officers (e.g., intelligence officers leveling with criminal investigators).

M3 - Abstract

ER -

Waardenburg L, Sergeeva A, Huysman M. How the shift to predictive policing influences police work practices. 2018. Abstract from ABRI Research Seminar, Amsterdam, Netherlands.