| 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. |
The data in this report represents signals and cases from January 1, 2018 through December 31, 2018 and is accurate as of July 25, 2019. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More
Enabling access to online services through mobile technology is an essential need for survivors during the Covid-19 pandemic. It should be considered a feasible and necessary element of survivor support packages outside a pandemic. Further research ...Read More
The commercial sexual exploitation of children (CSEC) is a well-known problem in Kathmandu. Having seen a decade-long proliferation in the number of venues making up the adult entertainment sector (AES), frontline organisations – including the Fre...Read More
Climate change increases the risk of natural disasters and places a strain on livelihoods. This may contribute to high-risk behaviours and other negative coping strategies among affected populations, such as resorting to unscrupulous recruitment age...Read More
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