保持分数:警务中的预测分析

IF 6.3 1区 社会学 Q1 CRIMINOLOGY & PENOLOGY
Dylan J. Fitzpatrick, W. Gorr, Daniel B. Neill
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引用次数: 19

摘要

警务预测分析是一种数据驱动的方法,可以(a)描述跨时间和空间的犯罪模式,(b)利用这些知识预防犯罪和混乱。本文概述了该领域的现状,提供了预测工具的审查,这些工具已成功地应用于警察的犯罪预测任务。然后,我们讨论了预测警务计划的结构化设计和评估选项,以便在给定固定资源约束的情况下,将主动干预努力的好处最大化。我们重点介绍了在现场由警察机构实施和评估的预测性警务计划的例子。最后,我们讨论了与警务预测分析相关的道德问题,并提出了减少对弱势社区潜在危害的方法,同时在警察管辖范围内公平分配预防犯罪的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keeping Score: Predictive Analytics in Policing
Predictive analytics in policing is a data-driven approach to ( a) characterizing crime patterns across time and space and ( b) leveraging this knowledge for the prevention of crime and disorder. This article outlines the current state of the field, providing a review of forecasting tools that have been successfully applied by police to the task of crime prediction. We then discuss options for structured design and evaluation of a predictive policing program so that the benefits of proactive intervention efforts are maximized given fixed resource constraints. We highlight examples of predictive policing programs that have been implemented and evaluated by police agencies in the field. Finally, we discuss ethical issues related to predictive analytics in policing and suggest approaches for minimizing potential harm to vulnerable communities while providing an equitable distribution of the benefits of crime prevention across populations within police jurisdiction.
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来源期刊
Annual Review of Criminology
Annual Review of Criminology CRIMINOLOGY & PENOLOGY-
CiteScore
11.30
自引率
2.90%
发文量
35
期刊介绍: The Annual Review of Criminology provides comprehensive reviews of significant developments in the multidisciplinary field of criminology, defined as the study of both the nature of criminal behavior and societal reactions to crime.
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