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Albemarle-Charlottesville Regional Jail overcrowding systems analysis

机译:阿尔伯马尔-夏洛特斯维尔地区监狱人满为患系统分析

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The Albemarle-Charlottesville Regional Jail, having been built to house less than the forecasted inmate population, is currently operating at 150% of its rated capacity. The ever growing inmate population has put a strain on the already limited jail resources. As the jail becomes more crowded, it is even more difficult to rehabilitate inmates. Consequently, recidivism is a continuous problem, putting added pressure on the criminal justice system and community. The project team developed a logic model to explain possible contributors to jail overcrowding. After performing analysis on the existing law enforcement and jail databases, the team focused on the opportunity for a coherent criminal justice data system that would support analysis and provide an accessible user interface. Such a database will enable jail management to make evidence-based decisions and will provide stakeholders with the necessary statistics to hold each member in the system accountable. These statistics will also serve as indices of performance and will assess the success of programs. In the long-term, such decisions will help alleviate overcrowding at ACRJ by reducing recidivism and delays in the system.
机译:Albemarle-Charlottesville地区监狱的建造容纳的人数少于预计的囚犯人数,目前正在以其额定容量的150%运行。囚犯人数的不断增长给本已有限的监狱资源带来了压力。随着监狱变得更加拥挤,要恢复囚犯的生活就更加困难。因此,累犯是一个持续存在的问题,给刑事司法系统和社区带来了更大的压力。项目团队开发了一个逻辑模型来解释监狱过度拥挤的可能原因。在对现有的执法和监狱数据库进行分析之后,该团队将重点放在建立连贯的刑事司法数据系统的机会上,该系统将支持分析并提供可访问的用户界面。这样的数据库将使监狱管理人员能够做出基于证据的决策,并将为利益相关者提供必要的统计数据,以使系统中的每个成员都承担责任。这些统计数据还将用作绩效指标,并评估计划的成功与否。从长远来看,此类决策将通过减少累犯和系统延迟来帮助缓解ACRJ的拥挤状况。

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