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Titlebook: Targeting Domestic Abuse with Police Data; Matthew P. Bland,Barak Ariel Book 2020 The Editor(s) (if applicable) and The Author(s), under e

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書目名稱Targeting Domestic Abuse with Police Data
編輯Matthew P. Bland,Barak Ariel
視頻videohttp://file.papertrans.cn/901/900634/900634.mp4
概述Analyzes three domestic abuse datasets from police forces across England and Wales.Demonstrates how modern statistical techniques can help target and profile domestic abuse.Illustrates the scale of th
圖書封面Titlebook: Targeting Domestic Abuse with Police Data;  Matthew P. Bland,Barak Ariel Book 2020 The Editor(s) (if applicable) and The Author(s), under e
描述.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
出版日期Book 2020
關(guān)鍵詞domestic violence; evidence-based policing; big data policing; forecasting crime; domestic violence harm
版次1
doihttps://doi.org/10.1007/978-3-030-54843-8
isbn_softcover978-3-030-54845-2
isbn_ebook978-3-030-54843-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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