Conference: Ingram Olkin Forum at Carleton College

会议：卡尔顿学院英格拉姆·奥尔金论坛

• 批准号: 2328509
• 负责人: Claire Kelling
• 金额: $ 2万
• 依托单位: Carleton College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2328509&HistoricalAwards=false
• 关键词: Conference; Ingram; Olkin; Forum; Carleton

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.

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。对警察使用武力的数据分析提出了许多统计挑战，这些挑战可以：如果不仔细解决，就会导致对问题的不完整或不准确的理解，这反过来会阻碍或不正确地调整改革努力，损害宣传活动的可信度，并疏远受警察论坛使用武力最直接影响的社区。是国家统计科学研究所 (NISS) 主办的题为“统计服务社会”的一系列研讨会的一部分。该系列旨在解决社会中统计重要性的紧迫问题。 、COVID-19 期间临床试验的意外中断以及隐私保护方法将导致从业者和社区合作伙伴进一步开展旨在改善城乡警务循证政策的合作研究。激励正在进行的工作以及本科生和研究生的参与将被纳入论坛。这个面对面的论坛将突出该领域学者开发的独特方法和观点，以便加深对问题的了解并提高用于为改革工作提供信息的证据质量警察使用武力数据中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，其中包括数据质量和完整性等问题。 、非结构化数据的处理、隐私问题和统计挑战这些问题存在于其他重要社会现象的研究中，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，该论坛还将促进其提议的统计学家、社区成员、活动家之间的跨学科合作。社会科学家、政策制定者和执法专业人员的合作可以开发出创新的、数据驱动的方法来解决警察使用武力的复杂问题。 https://www.niss.org/events/iof-workshop-statistical-challenges-analysis-police-use-force该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。