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Targeting Domestic Abuse with Police Data (Hardcover, 1st ed. 2020)
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Targeting Domestic Abuse with Police Data (Hardcover, 1st ed. 2020)
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This book explores the potential of domestic abuse data to assess
the level of harm caused to victims and the amount of resources
required to respond to it. Policing domestic abuse has become a
major activity for the police service in England and Wales. Part of
the police strategy is to gather hundreds of thousands of detailed
records about victims and suspects - the single largest set of
domestic abuse records available, but one that to date has largely
unexplored by researchers. In this volume, Matthew Bland and Barak
Ariel analyse three substantial datasets taken from police forces
across the country and ask: * Can police data be used to derive
meaningful insight? * How should we use these data to measure harm?
* Just how much domestic abuse involves a repeat victim? * Does
abuse get more serious over time? * Can serious domestic abuse be
predicted before it occurs? This volume illustrates the scale of
the challenge the police and other agencies face with reducing
domestic abuse. A small proportion of individuals generate a
majority of harm; this book argues that police records offer
opportunities to identify these individuals before the harm occurs.
Demonstrating that statistical techniques can be used to profile
domestic abuse to target harm reduction strategies more precisely
and even identify a sizable proportion of serious cases before they
occur, this volume will be of interest to law enforcement
officials, policing researchers, and policy makers interested in
reducing the phenomenon of domestic abuse.
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