BD Spokes: PLANNING: WEST: Big Data and Criminal Justice in the Western United States

BD 发言：规划：西部：美国西部的大数据和刑事司法

• 批准号: 1636962
• 负责人: Eric Lindquist
• 金额: $ 9.73万
• 依托单位: Boise State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1636962&HistoricalAwards=false
• 关键词: BD; Spokes; PLANNING; WEST; Big

Poor use of data in the public sector, in general, have been linked to lack of resources and the lack of political will necessary for more efficient and effective use of data. This is troubling, given the potential of big data to increase the transparency of government decision making to all those impacted by policy implementation. Criminal Justice is one field shifting its practices in an attempt to make its decision making process more transparent to community residents, particularly with the use of community oriented policing (COP). Recent headlines demonstrate the urgent need for police departments to build and maintain trust with their communities through greater transparency and effectiveness. Data, when used to augment police services in a transparent fashion, has been shown to lead to heightened levels of community trust and reduce negative interactions between police officers and community members. This planning grant project seeks to identify the challenges and opportunities of utilizing big data in the criminal justice system, specifically in COP through the identification and creation of key stakeholder teams, or nodes, and a systematic participatory process with three workshops designed to elicit information, data needs, and challenges and opportunities for the viability of big data and community policing in the Western US. At the completion of the project, the team and nodes will have identified a list of concrete and systemic opportunities for utilizing big data for policing.The use of big data in the criminal justice system has the potential to address this problem by augmenting COP practices through increased efficiency in resource allocation. The intellectual merit gained from this planning grant will further link big data and criminal justice by identifying systematic obstacles from diverse sectors to adopting big data strategies. Technological innovations such as big data are often misunderstood or misapplied by policy makers, and the general public. Because of its participatory nature, this planning grant has the opportunity to more broadly impact society by engaging and informing a diverse audience around the conversation of big data. The project team also hopes to reach underrepresented groups associated with the science of big data and policy decision-making.

一般而言，公共部门对数据的使用不善与缺乏资源以及缺乏更有效和更高效地使用数据所需的政治意愿有关。这是令人不安的，因为大数据有可能提高政府决策对所有受政策实施影响的人的透明度。刑事司法是一个改变其做法的领域，试图使其决策过程对社区居民更加透明，特别是使用面向社区的警务。 最近的头条新闻表明，警察部门迫切需要通过提高透明度和效力，与社区建立和保持信任。 数据在以透明的方式用于加强警察服务时，已被证明可以提高社区信任度，减少警官与社区成员之间的负面互动。该规划赠款项目旨在确定在刑事司法系统中利用大数据的挑战和机遇，特别是在COP中，通过确定和创建关键利益相关者团队或节点，以及一个系统的参与过程，其中包括三个研讨会，旨在获取信息，数据需求，以及美国西部大数据和社区警务可行性的挑战和机遇。在项目完成时，该小组和节点将确定一系列利用海量数据开展警务工作的具体和系统性机会，在刑事司法系统中使用海量数据有可能通过提高资源分配效率来加强缔约方会议的做法，从而解决这一问题。 从这一规划赠款中获得的知识价值将通过确定不同部门对采用大数据战略的系统性障碍，进一步将大数据和刑事司法联系起来。 大数据等技术创新经常被政策制定者和公众误解或误用。由于其参与性，这项规划赠款有机会通过参与和告知不同的受众围绕大数据的对话来更广泛地影响社会。项目团队还希望接触到与大数据科学和政策决策相关的代表性不足的群体。