I-Corps: Web-based Platform for Real-time Crime Mapping

I-Corps：基于网络的实时犯罪地图平台

• 批准号: 2329738
• 负责人: Minxuan Lan
• 金额: $ 5万
• 依托单位: University of Toledo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2329738&HistoricalAwards=false
• 关键词: Corps; Web; based; Platform; Real

The broader impact/commercial potential of this I-Corps project is the development of a web-based crime mapping platform to support crime display and analysis. The proposed technology may be used to promote public awareness and give people a reliable source for potential risks at locations they plan to visit. The goal is to reduce vulnerability and risks of being victimized. In addition, the proposed technology may equip law enforcement professionals with theory-based crime analysis and evidence-based quantitative/qualitative analyses and may be expanded to reduce gun violence and drug-related crime. Currently, several websites and cellphone apps provide historical or near real-time crime information. However, none of these products perform crime pattern analysis or crime prediction. Rather, they only show basic information about specific incidents. Additionally, some of these products rely on voluntary reports from users, but such information may not be consistent. The proposed technology collects and analyzes verified information from creditable resources and provides practical analyses.This I-Corps project is based on the development of web-based platform to display the distribution of crime incidents for the public and perform theory-based crime analyses for police officers. Crime statistics are usually raw or aggregated numbers, while the proposed platform may receive live feeds from law enforcement agencies, newspapers, media, and trustworthy sources. Crime incidents (including the location, time, offense type, and other information) will be geocoded and plotted on live maps in real-time for the public to search, review, and query. In addition, the proposed technology is designed to provide advanced analyses (e.g., spatial pattern, temporal pattern, hot spot, histogram, and charts) for law enforcement officers to help them analyze crime and keep communities safe. Law enforcement professionals and designated users may access results of theory-based crime analysis including but not limited to hot spot analysis, space-time cube analysis, temporal pattern detection, and risky facility detection. Also, this platform may be used to generate intuitive reports for users based on their specific needs.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.

这一I-Corps项目更广泛的影响/商业潜力是开发一个基于网络的犯罪绘图平台，以支持犯罪显示和分析。拟议的技术可用于提高公众意识，并为人们提供可靠的来源，了解他们计划访问的地点的潜在风险。目标是减少脆弱性和受害风险。 此外，拟议的技术可以为执法专业人员提供基于理论的犯罪分析和基于证据的定量/定性分析，并可以扩大到减少枪支暴力和毒品犯罪。 目前，一些网站和手机应用程序提供历史或接近实时的犯罪信息。然而，这些产品都没有进行犯罪模式分析或犯罪预测。相反，它们只显示有关具体事件的基本信息。此外，其中一些产品依赖于用户的自愿报告，但这些信息可能不一致。该技术从可信的资源中收集和分析经过验证的信息，并提供实用的分析。I-Corps项目基于开发基于网络的平台，为公众展示犯罪事件的分布情况，并为警察人员进行基于理论的犯罪分析。犯罪统计数据通常是原始数据或汇总数据，而拟议的平台可能会收到来自执法机构、报纸、媒体和可靠来源的实时信息。犯罪事件（包括地点，时间，犯罪类型和其他信息）将被地理编码并实时绘制在实时地图上，供公众搜索，查看和查询。此外，所提出的技术被设计为提供高级分析（例如，空间模式、时间模式、热点、直方图和图表），以帮助执法人员分析犯罪并维护社区安全。 执法专业人员和指定用户可以访问基于理论的犯罪分析的结果，包括但不限于热点分析、时空立方体分析、时间模式检测和危险设施检测。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。