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oapen-20.500.12657-428952020-11-13T01:47:18Z Criminal Futures Egbert, Simon Leese, Matthias Algorithmic Policing Critical Security Studies Organizational change Police Culture Police Organization Police Practice Policing and Security Predictive Policing Surveillance Studies bic Book Industry Communication::J Society & social sciences::JK Social services & welfare, criminology::JKS Social welfare & social services::JKSW Emergency services::JKSW1 Police & security services bic Book Industry Communication::J Society & social sciences::JK Social services & welfare, criminology::JKV Crime & criminology 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. 2020-11-12T10:04:04Z 2020-11-12T10:04:04Z 2021 book ONIX_20201112_9781000281729_4 https://library.oapen.org/handle/20.500.12657/42895 eng Routledge Studies in Policing and Society application/pdf Attribution-NonCommercial-NoDerivatives 4.0 International 9781000281729.pdf Taylor & Francis Routledge 10.4324/9780429328732 10.4324/9780429328732 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb Routledge 242 open access
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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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