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项目的更广泛的影响/商业潜力是开发一个基于网络的犯罪地图平台，以支持犯罪展示和分析。这项拟议的技术可以用来提高公众意识，并为人们提供一个可靠的来源，了解他们计划访问的地点的潜在风险。其目标是减少脆弱性和成为受害者的风险。此外，拟议的技术可使执法专业人员具备以理论为基础的犯罪分析和以证据为基础的定量/定性分析，并可扩大以减少枪支暴力和与毒品有关的犯罪。目前，有几个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，这些产品都没有执行犯罪模式分析或犯罪预测。相反，它们只显示有关特定事件的基本信息。此外，其中一些产品依赖于用户的自愿报告，但此类信息可能不一致。该技术从可信的资源中收集和分析已核实的信息，并提供实用的分析。该i-Corps项目基于开发基于网络的平台，向公众展示犯罪事件的分布情况，并为警察进行基于理论的犯罪分析。犯罪统计数据通常是原始或聚合的数字，而拟议的平台可能会从执法机构、报纸、媒体和可信来源接收实时馈送。犯罪事件(包括地点、时间、犯罪类型等信息)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，拟议的技术旨在为执法人员提供高级分析(例如，空间模式、时间模式、热点、直方图和图表)，以帮助他们分析犯罪并确保社区安全。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。此外，该平台还可用于根据用户的特定需求为他们生成直观的报告。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。