Conference: Ingram Olkin Forum at Carleton College

关于“警察使用武力分析中的统计挑战”的论坛将于2023年11月9日至10日在明尼苏达州诺斯菲尔德的卡尔顿学院举办。 对警察使用武力数据的分析提出了一些统计挑战，如果不认真处理，可能导致对这些问题的理解不完整或不准确。这反过来又会阻碍或不适当地改变改革努力的方向，损害宣传运动的可信度，并疏远受警察使用武力最直接影响的社区。该论坛是国家统计科学研究所在题为“统计为社会服务”的论坛系列中主办的更大系列讲习班的一部分。该系列力求解决社会中具有统计重要性的紧迫问题。过去的论坛主题包括算法公平性，COVID-19期间临床试验的计划外中断以及隐私保护方法。2023年秋季论坛将进行合作研究，旨在改善城市和农村地区警务的循证政策。从业人员和社区合作伙伴将进一步推动正在开展的工作和论坛的成果。论坛将邀请本科生和研究生参加，重点介绍该领域学者的独特方法和观点，以加深对问题的理解，并提高改革所用证据的质量。警察使用武力数据存在的一系列障碍和数据限制使其成为一个特别具有挑战性的研究领域，问题包括数据质量和完整性，非结构化数据的处理，隐私问题以及分析公平性的统计挑战。这些问题在其他重要社会现象的研究中也存在，通过这种交流获得的知识可以改善对相关紧迫社会问题的研究。该论坛还将促进统计学家、社区成员、活动家、社会科学家、决策者和执法专业人员等拟议受众之间的跨学科合作。这种合作可以导致制定创新的、数据驱动的方法，以解决警察使用武力的复杂问题。链接：https://www.niss.org/events/iof-workshop-statistical-challenges-analysis-police-use-forceThis奖反映了NSF的法定使命，并已被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。

A forum on “Statistical Challenges in the Analysis of Police Use of Force” will be hosted at Carleton College in Northfield, Minnesota on November 9-10, 2023. Analysis of data regarding force used by police presents a number of statistical challenges that can, if not addressed carefully, lead to an incomplete or inaccurate understanding of the issues. This can in turn hamper or improperly redirect reform efforts, damage the credibility of advocacy campaigns, and alienate the communities most directly impacted by the use of force by police. This forum is part of a larger series of workshops hosted by the National Institute of Statistical Sciences (NISS) in a forum series titled “Statistics Serving Society.” This series seeks to address urgent issues of statistical importance in society. Past forum topics have included algorithmic fairness, unplanned disruptions to clinical trials during COVID-19, and privacy-preserving methodologies. The Fall 2023 forum will result in collaborative research that is aimed at improving evidence-based policy on policing in urban and rural areas. Practitioners and community partners will further motivate the work being conducted and the resulting output of the forum. Engagement of both undergraduate and graduate students will be incorporated into the forum.This in-person forum will highlight the unique approaches and perspectives developed by scholars working in this area, in order to build a deeper understanding of the issues and to improve the quality of evidence used to inform reform efforts. The range of obstacles and data limitations present in police use of force data make it a particularly challenging area to study, with issues including data quality and completeness, processing of unstructured data, privacy concerns, and statistical challenges in analyzing fairness. These issues are present in the study of other important social phenomena, and the knowledge gained through this exchange can improve research on related urgent social issues. This forum will also foster interdisciplinary collaboration between its proposed audience of statisticians, community members, activists, social scientists, policymakers, and law enforcement professionals. Such collaboration can lead to the development of innovative, data-driven approaches to address the complex issue of police use of force. Link: https://www.niss.org/events/iof-workshop-statistical-challenges-analysis-police-use-forceThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.