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Data integration and analysis to facilitate evidence-based decision making in the Albemarle-Charlottesville criminal justice system

机译:数据集成和分析,以促进在阿尔伯马尔-夏洛茨维尔刑事司法系统中基于证据的决策

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摘要

The Albemarle-Charlottesville Regional Jail currently houses about 160% of its rated capacity[1]. This overcrowding can contribute to recidivism and jeopardize public safety. The Charlottesville criminal justice system seeks to analyze factors that affect recidivism and jail overcrowding but existing criminal justice agency data systems were not designed to support the studies needed to identify and analyze these factors. This paper describes the development of a prototype data system that will support evidenced-based decision making by integrating existing legacy systems and creating a user interface through which users can perform empirical analyses. Stakeholders throughout the criminal justice system can use the prototype as the foundation for a fully integrated system.
机译:阿尔伯马尔-夏洛特维尔地区监狱目前容纳着其额定容量的160%左右[1]。这种过度拥挤会助长累犯并危害公共安全。夏洛茨维尔的刑事司法系统试图分析影响累犯和监狱过度拥挤的因素,但是现有的刑事司法机构数据系统并非旨在支持识别和分析这些因素所需的研究。本文描述了原型数据系统的开发,该数据系统将通过集成现有的遗留系统并创建用户界面来支持基于证据的决策,用户可以通过该界面执行经验分析。整个刑事司法系统中的利益相关者都可以将原型用作完全集成系统的基础。

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