| 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, 2019 through December 31, 2019 and is accurate as of July 30, 2020. Cases of trafficking may be ongoing or new information may revealed to the National Hotline over time. Consequen...Read More
The manual provides information on child labour including the worst forms of child labour, hazardous work and hazardous child labour lists, conducting child labour inspections, the labour inspector’s role when faced with the commercial sexual ex...Read More
Hivos commissioned an assessment in April 2020 to establish the impact of Covid-19 on women workers in the horticulture sector. This was assessed with special focus on their current employment status, living conditions, shifts in their household exp...Read More
The 2018 ITUC Global Rights Index depicts the world’s worst countries for workers by rating 142 countries on a scale from 1-5 based on the degree of respect for workers’ rights with 1 being the best rating and 5 the worst rating. Violations are r...Read More
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