Proto-OKN Theme 1: An integrated platform to connect criminal justice data across data silos

Proto-OKN 主题 1：跨数据孤岛连接刑事司法数据的集成平台

• 批准号: 2333803
• 负责人: Adam Pah
• 金额: $ 149.85万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2333803&HistoricalAwards=false
• 关键词: Proto; OKN; Theme; integrated; platform

The United States has the largest criminal justice system in the world, resolving over 18 million criminal cases each year. Given the pervasiveness and seriousness of the criminal justice function, and the amount of data collected by that system, very little criminal justice data is nationally-accessible across the United States. There is a dearth of accessible information about who is prosecuted and convicted and what kinds of ultimate outcomes they experience. This Prototype-Open Knowledge Network project on an integrated platform to connect criminal justice data across data silos seeks to establish an integrated knowledge network as the data infrastructure for making necessary connections across data systems within the criminal justice system. This platform will help improve the collective knowledge of criminal justice functioning and outcomes. It will also help in the evaluation of the influence of any bias in the system, and in the evaluation of other extralegal factors, such as the social determinants of crime. Correlating the aggregated response of the criminal justice system to crime is essential to reveal inequities and inefficiencies in the administration of justice. The knowledge network will also help advance the science of knowledge networks. Beginning initially with the states of Washington and Georgia, the first outcome will be a functioning knowledge network that provides the most complete picture of criminal justice to date for these regions. The longer term objective is to extend this approach to all regions/states. The platform uses public data sets to achieve its objectives of creating a public interest information resource that works in harmony with information from criminal justice institutions like the Bureau of Justice Statistics, the National Institute of Justice, the Department of Justice, and the local courts. These jurisdictions are already producing huge amounts of data that need to be harmonized, networked, and made more transparent and meaningful for use by interested users. The knowledge network will be constructed using a user-centered approach that considers usability of the technology as well as minimization of harm caused to individuals whose data populates the knowledge network. The project will achieve these goals by re-conceptualizing data best practices in a big data world where data transparency and data harm need to be balanced.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.

美国拥有世界上最大的刑事司法系统，每年解决超过1800万起刑事案件。鉴于刑事司法职能的普遍性和严重性以及该系统收集的数据量，在全国范围内，很少有刑事司法数据在全国范围内获得。关于谁被起诉和定罪的人以及他们经历了哪些最终结果，缺乏可访问的信息。该集成平台上的这个原型开放的知识网络项目跨数据硅线跨越犯罪司法数据，旨在建立一个集成的知识网络，作为数据基础架构，以在刑事司法系统内建立跨数据系统的必要连接。该平台将有助于提高刑事司法功能和结果的集体知识。它还将有助于评估系统中任何偏见的影响，以及评估其他外部因素，例如犯罪的社会决定因素。将刑事司法系统对犯罪的汇总反应相关联，对于揭示司法管理方面的不平等和效率低下至关重要。知识网络还将有助于推进知识网络的科学。最初从华盛顿和佐治亚州开始，第一个结果将是一个运转良好的知识网络，为这些地区提供最完整的刑事司法局面。长期目标是将这种方法扩展到所有地区/州。该平台使用公共数据集来实现其创建公共利益信息资源的目标，该信息资源与刑事司法机构的信息和谐相处，例如司法统计局，国立司法研究所，司法部和地方法院。这些司法管辖区已经在产生大量数据，需要协调，联网，并使感兴趣的用户使用更加透明和有意义。知识网络将使用以用户为中心的方法来构建，该方法认为该技术的可用性以及最小化对数据填充知识网络的个人造成的伤害。该项目将通过重新概念化数据的最佳实践来实现这些目标，在大数据世界中需要平衡数据透明度和数据危害。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和评估来支持的。更广泛的影响审查标准。