TY - BOOK ID - 65605470 TI - Targeting domestic abuse with police data AU - Bland, Matthew P. AU - Ariel, Barak PY - 2020 SN - 3030548430 3030548422 PB - Cham, Switzerland : Springer, DB - UniCat KW - Violence. KW - Crime. KW - Victimology. KW - Crime prevention. KW - Criminology. KW - Research. KW - Violence and Crime. KW - Crime Prevention. KW - Research Methods in Criminology. KW - Crime KW - Crime prevention KW - Prevention of crime KW - Public safety KW - Crime victims KW - Victimology KW - Victims KW - City crime KW - Crime and criminals KW - Crimes KW - Delinquency KW - Felonies KW - Misdemeanors KW - Urban crime KW - Social problems KW - Criminal justice, Administration of KW - Criminal law KW - Criminals KW - Criminology KW - Transgression (Ethics) KW - Violent behavior KW - Social psychology KW - Science KW - Science research KW - Scientific research KW - Information services KW - Learning and scholarship KW - Methodology KW - Research teams KW - Social sciences KW - Prevention KW - Government policy KW - Social aspects KW - Research KW - Study and teaching KW - Family violence. KW - Domestic violence KW - Household violence KW - Interparental violence KW - Intrafamily violence KW - Violence UR - https://www.unicat.be/uniCat?func=search&query=sysid:65605470 AB - 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. ER -