CAREER: The Domestic and International Politics of Global Police

职业:全球警察的国内和国际政治

基本信息

  • 批准号:
    2143934
  • 负责人:
  • 金额:
    $ 65.08万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-09-01 至 2027-08-31
  • 项目状态:
    未结题

项目摘要

Whether in the form of protest violence, gender-based violence, torture, extrajudicial killing, or daily abuse, excessive and/or illegitimate police violence presents a challenge in every country of the world. The negative impacts of excessive and/or illegitimate police violence on societies are numerous and consequential: it exacerbates health outcomes, diminishes the quality of governance, and increases the probability of civil conflict. Moreover, donor countries and organizations, including the United States and United Nations, provide billions of dollars to police assistance abroad, thereby potentially affecting recipient country police forces’ ability to use force. Yet, despite the global nature of the problem, most of the work on police violence has largely focused on case studies in the US, UK, and Latin American countries. These single cases do not permit the development of an overarching theory for understanding the domestic and international political conditions under which the police in different countries engage in excessive and/or illegitimate violence. There is also a dearth of cross-national data on global police violence, police institutions, police assistance, and police personnel. This CAREER research and teaching agenda will achieve the following objectives: 1) develop an original political framework and theory on global police violence; 2) gather essential cross-national data on police violence, police autonomy, and international police assistance; 3) collect the largest, original survey data of police personnel around the world; and 4) implement a multi-faceted educational program that will train undergraduate students and masters students in evidence-based strategies for mitigating police violence. This project provides two unique innovations from the current research on police violence. First, it uses a political science framework to understand the complex dynamics of policing and police violence and uses multiple, original data sources to test these theories. Treating the police as political actors uncovers the ways in which institutional and interest-based explanations affect the likelihood of police engaging in different forms of violence. The extensive cross-national, time series data collection of police violence, police institutions, and police assistance enables comparative analysis about the conditions under which different forms of violence is more likely. Moreover, the survey data of police personnel, collected through the already-established Gender and Security Sector Lab, allows the PI to explore how individual interests and beliefs, and unit cohesion affect the propensity of individual officers and groups of officers to abuse their authority. Importantly, the project allows for the synthesis of evidence-based research with education through the development of an undergraduate “Politics of Policing” course and a master’s-level Civilian-Police (Civ-Pol) Certificate program for domestic and international police leadership and bureaucrats who oversee policing decisions. By integrating evidence-based research and research methods into these courses, the project trains the next generation of undergraduates to become public citizens by helping them develop original research, critical thought, and community-based solutions to police violence locally and it puts evidence-based research into the hands of those making decisions about policing globally.This 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.
无论是抗议暴力、性别暴力、酷刑、法外处决还是日常虐待,过度和/或非法警察暴力对世界每个国家都是一个挑战。过度和/或非法警察暴力的负面影响。对社会的影响众多且后果严重:它加剧了健康状况,降低了治理质量,并增加了发生国内冲突的可能性。潜在地然而,尽管这个问题具有全球性,但大多数有关警察暴力的工作主要集中在美国、英国和拉丁美洲国家的案例研究上。允许发展一个总体理论来理解不同国家警察从事过度和/或非法暴力的国内和国际政治条件。还缺乏关于全球警察暴力、警察机构、警察的跨国数据。援助和警察人员。教学议程将实现以下目标:1)制定关于全球警察暴力的原创政治框架和理论;2)收集有关警察暴力、警察自治和国际警察援助的重要跨国数据;3)收集最大规模的原创调查;世界各地警察人员的数据;4)实施多方面的教育计划,对本科生和硕士生进行基于证据的缓解警察暴力策略的培训。该项目提供了当前警察暴力研究的两项独特创新。首先,它使用政治科学框架了解治安和警察暴力的复杂动态,并使用多个原始数据源来检验这些理论,将警察视为政治参与者,揭示了制度和基于利益的解释如何影响警察参与不同形式的暴力的可能性。警察暴力、警察机构和警察援助的广泛跨国时间序列数据收集可以对不同形式的暴力更有可能发生的条件进行比较分析。此外,通过已经收集的警察人员的调查数据。建立了性别与安全部门实验室,使 PI 能够探索个人利益和信仰以及单位凝聚力如何影响个别警官和警官团体滥用权力的倾向。重要的是,该项目允许通过发展本科生“警务政治”将循证研究与教育相结合。 ”课程和硕士级民警(Civ-Pol)证书课程,面向国内和国际警察领导层和监督警务决策的官僚。通过将循证研究和研究方法融入这些课程,该项目培训了下一代。本科生到通过帮助他们开发原创研究、批判性思维和基于社区的解决方案来解决当地警察暴力问题,成为公共公民,并将基于证据的研究交给全球警务决策者。该奖项反映了 NSF 的法定使命,并被视为值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
International involvement in (re-)building police forces: a comparison of US and UN police assistance programs around the world
国际参与(重建)警察部队:美国和联合国世界各地警察援助计划的比较
  • DOI:
  • 发表时间:
    2022-02
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mailhot; Cameron
  • 通讯作者:
    Cameron
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Sabrina Karim其他文献

Analysis of Unsupervised Machine Learning Techniques for an Efficient Customer Segmentation using Clustering Ensemble and Spectral Clustering
使用聚类集成和谱聚类进行有效客户细分的无监督机器学习技术分析
Boon, bane, or business as usual: Perceptions of the economic consequences of peacekeeping withdrawal from Liberia
福、祸还是一切如常:对从利比里亚撤出维和行动的经济后果的看法
  • DOI:
    10.1080/03050629.2023.2291659
  • 发表时间:
    2024-01-02
  • 期刊:
  • 影响因子:
    1.3
  • 作者:
    John Gledhill;Sabrina Karim
  • 通讯作者:
    Sabrina Karim
An efficient approach for improving customer Sentiment Analysis in the Arabic language using an Ensemble machine learning technique
使用 Ensemble 机器学习技术改进阿拉伯语客户情绪分析的有效方法
Association between history of hookah use and symptoms of postpartum depression: A population‐based study
水烟使用史与产后抑郁症症状之间的关联:一项基于人群的研究
Enhancing Arabic E-Commerce Review Sentiment Analysis Using a hybrid Deep Learning Model and FastText word embedding
使用混合深度学习模型和 FastText 词嵌入增强阿拉伯语电子商务评论情绪分析

Sabrina Karim的其他文献

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