| 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 objective of this study is to better understand the problems related to vietnamese migration to the united Kingdom. In September 2009, Vietnamese migrants received very low-key coverage on the French media scene when their camp in Angres, 100 km...Read More
On 10-12 November 2020, the USAID Asia Counter-Trafficking in Persons project hosted the 2020 CTIP Evidence Summit, "From Evidence to Action", which included the two Summit discussions "Barriers to Evidence Uptake — Civil Society Organization (CSO...Read More
Executive Summary The risk of forced labour is pervasive across today’s food and beverage supply chains: from tea pickers on tea estates to crew members on fishing vessels and labourers on cattle and poultry ranches, cocoa farms, and rice mills. ...Read More
In one-to-one interviews and focus groups, female migrant workers in Qatar, Kuwait, and Bahrain recounted their experiences with violence in the workplace and how they navigated formal and informal grievance mechanisms. Through their insights, we ai...Read More
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