| 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. |
These quality standards are a practical tool for the staff managing these reporting websites or wishing to create one. They cover several aspects, in particular: The checking of the background and the references of employeesThe processing of repo...Read More
Survey data suggests that a minimum, some 229,000 Nepali's were subject to some form of modern slavery in 2014. While some of this involved victims and offenders within Nepal itself, a significant proportion is likely to have been exploited outside ...Read More
As stores closed around the world in response to COVID-19 lockdowns in early 2020, fashion brands and retailers sought to minimize their losses, shifting the financial burden of the disruption to the bottom of their supply chain. Cancelled orders, d...Read More
Edited by Genevieve LeBaron and Neil Howard. This is the second volume of the series Beyond Trafficking and Slavery Short Course. There is a growing and sober awareness among international policymakers and within global civil society that hum...Read More
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