Data Analytics and Human Trafficking
Data Analytics and Human Trafficking
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数据分析和人口贩卖
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Rashmi Krishnamurthy
中科院分区：
文献类型：
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作者：
Kena Fedorschak;Srivatsav Kandala;K. Desouza;Rashmi Krishnamurthy
人口贩运在国际上被认为是针对妇女、儿童和男子的一种极端形式的暴力。尽管人们普遍认为人口贩运是一个日益严重的社会问题，但关于这个问题的数据和见解仍然缺乏。数据分析在阐明复杂社会数据的趋势和为未来政策提供信息方面具有巨大的潜力。我们采用了一种设计科学启发的研究方法来建立人口贩运的数据集。提出了三个原型，描述了人口贩运者的方法，显示了报告可疑贩运活动的电话与各种人口统计数据之间的相关性，并解释了美国反贩运资金项目的有效性。
Human trafficking is recognized internationally as an extreme form of violence against women, children, and men. Despite the fact that human trafficking is universally understood to be a burgeoning social problem, a paucity of data and insight into this issue exists. Data analytics has immense potential to elucidate trends in complex social data and inform future policy. We undertook a design science-inspired research approach to build datasets on human trafficking. Three prototypes are presented that describe the methodologies of human traffickers, display correlations between calls reporting suspected trafficking activity and various demographic data, and explicate the effectiveness of US anti-trafficking funding projects.