Public Safety Informatics

该项目将以新颖和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察部(“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。具体地说，该项目的目标是：(A)通过提高记录囚犯来电的速度和降低成本，改进对囚犯电话系统(“Telmate”)使用情况的监测；(B)通过发现异常使用模式，改善对同一系统的监测；(C)提高匿名部数据的速度和降低成本，以便能够在不危及数据描述者隐私的情况下进行分析；(D)找到对囚犯进行风险评估的一致、透明的方式；以及(E)评估计算机化特工的可信度。除了研究结果本身，潜在的结果是该部的新政策和程序。例如：(A)更方便的电话记录可使安全情报官员通过将更多时间分配给分析而不是监听来改变其分析安全威胁的程序，(B)对电话通话记录数据的详细分析可导致影响囚犯通话允许频率、持续时间和次数的政策，(C)改进的匿名化技术可促进更多数据分析项目的程序，(D)自动化风险评估工具可导致囚犯分类的新政策和程序，以及(E)对自动化系统信任的更好理解可有助于未来制定自动化车辆的新政策。主要的好处将是在萨斯喀彻温省与公共安全有关的几项倡议中协助惩戒和警察部。该项目旨在加强公众和囚犯的安全，通过检测非法行为、便利分析机密数据、预测管教设施中的好的和坏的行为以及减少自动化系统的错误而获得安全。

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.