Investigating the Use of Information and Communication Technologies in Violence Interruption

调查信息和通信技术在暴力干扰中的使用

• 批准号: 1665501
• 负责人: Sheena Erete
• 金额: $ 15万
• 依托单位: DePaul University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-02-01 至 2019-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1665501&HistoricalAwards=false
• 关键词: Investigating; Use; Information; Communication; Technologies

Although crime has decreased across most major US cities, violent crime is still a prominent issue in many urban environments. Neighborhoods that are plagued by such excessive violence endure negative effects on social and economic development. Though there are several approaches to addressing gun violence, one successful public health approach to reducing violence focuses on violence interruption, a neighborhood-level model whereby trained intervention workers identify potential violent events and provide immediate alternatives to disrupt violent incidents in their communities. This project investigates the potential of a mobile phone application to help intervention workers predict and interrupt violence during crimes and violent incidents. Violence interruption workers also provide long-term outreach in an attempt to permanently change violent behavior, including providing access to resources such as mental health services, social services, educational opportunities, and work training. This award will also support the design and development of a mobile application that uses predictive analytic techniques to provide violence interruption workers with the most effective intervention strategies based on data from over a decade of prior interventions. Working with a leading violence interruption organization, this project examines how a mobile application can improve violence interruption outcomes by providing recommendations for the most effective strategies for resolving violent conflicts. The PI and her students will evaluate the mobile application in a 3-month deployment in Chicago during the summer, typically the most violent period of the year. In addition to supporting the reduction of violence, results from this project will lead to a deeper understanding of how to design technology to scale effective violence interruption techniques informed by public health principles. Furthermore, using computational analysis techniques to provide the most effective interruption techniques to violence interruption workers will not only advance our knowledge of the role of technology in violence interruption, but also extend prior literature pertaining to the social and behavioral impact of technology use in crime prevention and violence for those most affected by violent crime. This work will support improvements in the science of broadening participation, in that the focus will be on residents in low income, high crime neighborhoods and local, nonprofit organizations attempting to reduce and mitigate violence in their communities.

尽管美国大多数主要城市的犯罪率有所下降，但暴力犯罪仍然是许多城市环境中的一个突出问题。受过度暴力困扰的社区对社会和经济发展造成负面影响。尽管解决枪支暴力的方法有多种，但减少暴力的一种成功的公共卫生方法侧重于暴力中断，这是一种社区级模型，训练有素的干预人员可以通过该模型识别潜在的暴力事件，并提供立即的替代方案来阻止社区中的暴力事件。该项目研究了手机应用程序帮助干预人员预测和阻止犯罪和暴力事件期间暴力的潜力。暴力中断工作者还提供长期外展活动，试图永久改变暴力行为，包括提供心理健康服务、社会服务、教育机会和工作培训等资源。该奖项还将支持移动应用程序的设计和开发，该应用程序使用预测分析技术，根据十多年来的先前干预数据，为暴力中断工作人员提供最有效的干预策略。该项目与领先的暴力中断组织合作，研究移动应用程序如何通过提供解决暴力冲突的最有效策略的建议来改善暴力中断结果。 PI 和她的学生将在夏季（通常是一年中最暴力的时期）在芝加哥部署为期 3 个月的移动应用程序来评估该移动应用程序。除了支持减少暴力之外，该项目的结果还将让人们更深入地了解如何设计技术来扩展基于公共卫生原则的有效暴力中断技术。此外，使用计算分析技术为暴力中断工作人员提供最有效的中断技术，不仅可以增进我们对技术在暴力中断中作用的认识，而且还可以扩展有关技术在预防犯罪和暴力中对受暴力犯罪影响最严重的人的社会和行为影响的现有文献。这项工作将支持扩大参与科学的改进，重点是低收入、高犯罪社区的居民以及试图减少和减轻社区暴力的当地非营利组织。