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Criminal Futures - Predictive Policing and Everyday Police Work (Paperback)
Loot Price: R1,300
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Criminal Futures - Predictive Policing and Everyday Police Work (Paperback)
Series: Routledge Studies in Policing and Society
Expected to ship within 12 - 17 working days
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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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