SCC-CIVIC-PG Track B: Everyday Respect: Measuring & Improving Police Officer Communication During Motor Vehicle Stops

SCC-CIVIC-PG 轨道 B:日常尊重:测量

基本信息

  • 批准号:
    2228785
  • 负责人:
  • 金额:
    $ 4.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-10-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

Traffic stops conducted by police officers are both mundane and potentially deadly. This project will use audio and video footage from body-worn cameras to study the communication between Los Angeles Police Department (LAPD) officers and drivers during these stops. We will examine how officers’ communication early on in a stop shapes how the interaction unfolds, including whether or not it escalates. We will also examine whether race, gender, class or other disparities exist in how community members are treated during stops, as well as how factors like race, disability status, community context, and officer training interact to shape how officers communicate. Stage 2 of this project also includes collaboration with the Los Angeles Police Academy to develop and implement new training curricula drawing on our findings and collaboration with the LAPD Office of Constitutional Policing and Policy to explore possible revisions to department policy. This community-led study draws on footage from body-worn and dashboard cameras, as well as complementary stop data, personnel data, and location-based data on community context. We move beyond existing work in this area by basing our measures of communication on views solicited from both the LAPD and a wide range of community members and community organizations regarding the various aspects of “good” communication that should be measured (Stage 1). We will employ a diverse population of human annotators to code all the dimensions of officer communication we identify as salient to community stakeholders (Stage 2). We will use machine learning tools, trained on these human annotations, to then measure communication at scale and then proceed to statistical analysis of both the causes and consequences of officer communication, including the factors that may lead some groups in the community to be treated differently than others.This project is in response to the Civic Innovation Challenge program—Track B. Bridging the gap between essential resources and services & community needs—and is a collaboration between NSF, the Department of Homeland Security, and the Department of Energy.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.
警察进行的交通拦截既平凡又可能致命。该项目将使用穿戴在身上的摄像机拍摄的音频和视频片段来研究洛杉矶警察局警察和司机在这些停车过程中的交流。我们将研究警察在停车初期的沟通如何影响互动的展开,包括它是否会升级。我们还将研究在停靠期间如何对待社区成员方面是否存在种族、性别、阶级或其他差异,以及种族、残疾状况、社区背景和军官培训等因素如何相互作用来影响警察的沟通方式。该项目的第二阶段还包括与洛杉矶警察学院合作,根据我们的调查结果制定和实施新的培训课程,并与洛杉矶警察局宪法警务和政策办公室合作,探讨修订部门政策的可能性。这项由社区主导的研究利用了人体佩戴和仪表板摄像头拍摄的镜头,以及补充的站台数据、人员数据和社区环境的基于位置的数据。我们超越了这一领域的现有工作,将我们的沟通措施建立在征求洛杉矶警察局和广泛的社区成员和社区组织对应衡量的“良好”沟通的各个方面的意见的基础上(阶段1)。我们将使用不同的人类注释员群体来编码我们确定为社区利益相关者突出的军官通信的所有维度(阶段2)。我们将使用机器学习工具,对这些人类注释进行培训,然后测量沟通的规模,然后对官员沟通的原因和结果进行统计分析,包括可能导致社区中某些群体受到不同对待的因素。该项目是对公民创新挑战计划的回应-轨道B-弥合基本资源和服务与社区需求之间的差距-是NSF、国土安全部和能源部的合作。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

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Morteza Dehghani其他文献

The cultural influence model: when accented natural language spoken by virtual characters matters
文化影响模型:当虚拟角色所说的带口音的自然语言很重要时
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    3
  • 作者:
    P. Khooshabeh;Morteza Dehghani;Angela Nazarian;J. Gratch
  • 通讯作者:
    J. Gratch
The Moral Foundations Reddit Corpus
道德基础 Reddit 语料库
  • DOI:
    10.48550/arxiv.2208.05545
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jackson Trager;Alireza S. Ziabari;A. Davani;Preni Golazazian;Farzan Karimi;Ali Omrani;Zhihe Li;Brendan Kennedy;N. K. Reimer;M. Reyes;Kelsey Cheng;Mellow Wei;Christina Merrifield;Arta Khosravi;E. Álvarez;Morteza Dehghani
  • 通讯作者:
    Morteza Dehghani
Title: into the Wild: Big Data Analytics in Moral Psychology
标题:走进野外:道德心理学中的大数据分析
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Morteza Dehghani;Kate M. Johnson;Rumen Iliev;J. Graham
  • 通讯作者:
    J. Graham
1 ANALOGY AND MORAL DECISION MAKING
1 类比与道德决策
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Morteza Dehghani;D. Gentner;Ken Forbus;H. Ekhtiari;Sonya S. Sachdeva
  • 通讯作者:
    Sonya S. Sachdeva
Correction to: Phosphodiesterase 10A Inhibition Leads to Brain Region-Specific Recovery Based on Stroke Type
  • DOI:
    10.1007/s12975-020-00858-1
  • 发表时间:
    2020-10-29
  • 期刊:
  • 影响因子:
    4.300
  • 作者:
    Shirin Z. Birjandi;Nora Abduljawad;Shyama Nair;Morteza Dehghani;Kazunori Suzuki;Haruhide Kimura;S. Thomas Carmichael
  • 通讯作者:
    S. Thomas Carmichael

Morteza Dehghani的其他文献

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{{ truncateString('Morteza Dehghani', 18)}}的其他基金

SCC-CIVIC-FA Track B: Everyday Respect: Measuring & Improving Communication During Motor Vehicle Stops
SCC-CIVIC-FA 轨道 B:日常尊重:测量
  • 批准号:
    2322026
  • 财政年份:
    2023
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
RAPID: Investigating Social Influence and Mitigating Disinformation Campaigns in Non-English Social Media
RAPID:调查非英语社交媒体中的社会影响力并减少虚假信息活动
  • 批准号:
    2304209
  • 财政年份:
    2022
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
EAGER: SaTC: Investigation of misinformation beliefs expressed and spread online
EAGER:SaTC:对网上表达和传播的错误信息信念进行调查
  • 批准号:
    2140473
  • 财政年份:
    2021
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant
CAREER: Developing Computational Methods to predict Hate Crimes
职业:开发预测仇恨犯罪的计算方法
  • 批准号:
    1846531
  • 财政年份:
    2019
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Continuing Grant
IBSS: The Spread and Impact of Moral Messages: Machine Learning, Network Evolution, and Behavioral Prediction
IBSS:道德信息的传播和影响:机器学习、网络进化和行为预测
  • 批准号:
    1520031
  • 财政年份:
    2015
  • 资助金额:
    $ 4.99万
  • 项目类别:
    Standard Grant

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