Public Safety Informatics

该项目将以新颖有效的方式将计算机科学和数据科学应用于萨斯喀彻温省惩教和警务部（"该部"）管理的公共安全问题。该部的核心活动是监督萨斯喀彻温省的惩教系统和设施，并向萨斯喀彻温省的市政警察部门提供指导和支持。具体而言，该项目的目标是（A）改进对囚犯电话系统使用情况的监测（"Telmate"）通过提高速度和降低转录囚犯呼叫的成本，（B）通过检测异常使用模式来改进对同一系统的监视，（C）提高匿名化部委数据的速度并降低其成本，以便在不危及数据中描述的人的隐私的情况下进行分析，（D）找到一种一致的、透明的方式来对囚犯进行风险评估，（E）评估计算机化代理的可信度。 除了研究成果本身之外，潜在的成果是该部的新政策和程序。例如：（A）更方便地转录电话呼叫可以允许安全情报官员通过分配更多的时间用于分析而更少的时间用于监听来改变他们用于分析安全威胁的程序，（B）对电话呼叫日志数据的详细分析可以导致影响囚犯呼叫的允许频率、持续时间和次数的策略，（C）改进的匿名化技术可以促进用于更多数据分析项目的程序，（D）自动化风险评估工具可能会导致新的囚犯分类政策和程序，以及（E）提高对自动化系统信任的理解可能有助于未来制定自动化车辆的新政策。 主要的好处将是协助惩教和警务部采取与萨斯喀彻温省公共安全有关的若干举措。该项目旨在通过侦查非法行为、促进机密数据分析、预测惩教设施中的好行为和坏行为以及减少自动化系统的错误，提高公众和囚犯的安全。

This project will apply computer science and data science in novel and effective fashions to public safety problems managed by the Saskatchewan Ministry of Corrections and Policing ("the Ministry"). The core activity of the Ministry is to oversee Saskatchewan's correctional system and facilities, and to provide guidance and support to Saskatchewan's municipal police services. Specifically, the goals of this project are to (A) improve monitoring of the use of the inmate telephone system ("Telmate") by increasing the speed and decreasing the cost of transcribing inmate calls, (B) improve the monitoring of the same system by detecting anomalous patterns of usage, (C) increase the speed and decrease the cost of anonymizing Ministry data to allow analysis without endangering the privacy of those depicted in the data, (D) find a consistent, transparent way of performing risk assessment on inmates, and (E) estimating the trustworthiness of computerized agents. The potential outcomes, besides the research results themselves, are new policies and procedures for the Ministry. As examples: (A) more convenient transcription of telephone calls may allow security intelligence officers to change their procedures for analyzing security threats by allocating more time to analysis and less to listening, (B) detailed analysis of telephone call log data may lead to policies affecting the permissible frequency, duration, and times of inmate calls, (C) improved anonymization techniques may facilitate procedures for more data analysis projects, (D) an automated risk assessment tool may lead to new policies and procedures for inmate classification, and (E) improved understanding of trust in automated systems may contribute to the future formulation of new policies for automated vehicles. The primary benefit will be to aid the Ministry of Corrections and Policing in several initiatives related to public safety in Saskatchewan. The project is intended to increase public and inmate safety, obtained from detecting illegal behaviours, facilitating the analysis of confidential data, predicting good and bad behaviours in correctional facilities, and reducing the errors made by automated systems.