| Many valuable, but often fragmented models are currently used in the fight against human trafficking. Building from the themes raised in a five-part webinar series hosted by Freedom Collaborative last fall, this paper argues that data should be used purposefully and ethically to coordinate anti-trafficking responses and better address the needs of victims of trafficking and the vulnerable. In this paper, the authors explore different types of data and their relative strengths and limitations in counter-trafficking work. Data collection methods both online and in the field, including the use of artificial intelligence, are considered. Given the complexity of human trafficking and the many factors that influence it, the authors argue that combining disparate data sources and developing infrastructure to aggregate vast and diverse datasets are important pieces to developing our understanding of this issue and creating more impactful programming. |
Digital platforms have often been celebrated for allowing equal opportunities for public self-expression, regardless of one’s identity and status. Yet, not everyone is welcome in the cyberspace. The digital arena has become a breeding ground fo...Read More
NetClean Report 2019 is about live-streamed child sexual abuse, storage of child sexual abuse material and how emerging technologies affect this crime. It is also about businesses' response to child sexual abuse material in their IT environment, and...Read More
This report considers how effectively the Action Plan to Tackle Trafficking in Persons and to Enhance Protection of Foreign Domestic Helpers in Hong Kong (the Action Plan) 1 has been implemented and, specifically, whether it has helped trafficked pe...Read More
In a constantly changing world, financial institutions must continually adapt to new risk factors. Regional or global crises like war or natural disasters, in particular, can trigger or fuel criminal activity and related risks,1 including MS/HT...Read More
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