21世纪以情报为主导的警务:增加的流动性如何需要新的信息共享模式
Rebecca Phythian1, Stuart Kirby2
1School of Law and Criminal Justice, Edge Hill University, Ormskirk, UK.
概括
移动犯罪率在全球上升. 执法部门需要先进的信息共享和机器学习,
科学领域:
- 犯罪学
- 执法技术
- 数字法医
背景情况:
- 由于科技和数字通信的快速发展, 移动犯罪在21世纪显著增加.
- 传统的执法方法难以跟上越来越复杂的跨国犯罪活动.
研究的目的:
- 分析移动犯罪的威胁, 专注于在英国逮捕的外国嫌疑人.
- 确定执法部门在处理技术先进的跨境犯罪行动时所面临的挑战.
主要方法:
- 分析293名被捕的外国嫌疑人的数据.
- 对英国执法人员进行36次采访.
主要成果:
- 证据显示,跨国旅行者犯罪的数量和复杂性越来越大.
- 跨国犯罪者越来越多地利用技术,对调查构成复杂的挑战.
结论:
- 执法机构必须采用新的信息共享模式来打击移动犯罪.
- 整合包括机器学习在内的技术进步对于有效打击犯罪至关重要.
- 需要在执法部门进行文化转变,
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