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Criminal Futures : Predictive Policing and Everyday Police Work

By: (Author) Matthias Leese , (Author) Simon Egbert

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Ksh 26,100.00

Format: Hardback or Cased Book

ISBN-10: 0367349264

ISBN-13: 9780367349264

Series: Routledge Studies in Policing and Society

Publisher: Taylor & Francis Ltd

Imprint: Routledge

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Dec 15th, 2020

Print length: 232 Pages

Weight: 510 grams

Dimensions (height x width x thickness): 15.80 x 24.20 x 2.00 cms

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This book explores how algorithmic prediction tools transform police work. Building on the growing literature at the intersection of policing and technology studies, this book examines the impact of predictive policing on organizational structures and the ways in which criminal futures are constructed by the police.

This book explores how predictive policing transforms police work. Police departments around the world have started to use data-driven applications to produce crime forecasts and intervene into the future through targeted prevention measures. Based on three years of field research in Germany and Switzerland, this book provides a theoretically sophisticated and empirically detailed account of how the police produce and act upon criminal futures as part of their everyday work practices.

The authors argue that predictive policing must not be analyzed as an isolated technological artifact, but as part of a larger sociotechnical system that is embedded in organizational structures and occupational cultures. The book highlights how, for crime prediction software to come to matter and play a role in more efficient and targeted police work, several translation processes are needed to align human and nonhuman actors across different divisions of police work.

Police work is a key function for the production and maintenance of public order, but it can also discriminate, exclude, and violate civil liberties and human rights. When criminal futures come into being in the form of algorithmically produced risk estimates, this can have wide-ranging consequences. Building on empirical findings, the book presents a number of practical recommendations for the prudent use of algorithmic analysis tools in police work that will speak to the protection of civil liberties and human rights as much as they will speak to the professional needs of police organizations.

An accessible and compelling read, this book will appeal to students and scholars of criminology, sociology, and cultural studies as well as to police practitioners and civil liberties advocates, in addition to all those who are interested in how to implement reasonable forms of data-driven policing.


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