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TARGETING DOMESTIC ABUSE WITH POLICE DATA IBD

SPRINGER
10 / 2021
9783030548452
Inglés

Sinopsis

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,áMatthew Bland and Barak Ariel analyse three substantial datasets taken from police forces across the country and ask:·áááááááá Can police data be used to derive meaningful insight?·áááááááá How should we use these data to measure harm?·áááááááá Just how much domestic abuse involves a repeat victim?·áááááááá Does abuse get more serious over time?·áááááááá 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.

PVP
158,92