| 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. |
Policy recommendations Rising labour shortages reflect structural shifts, including the digital and green transitions, as well as a cyclical component in the wake of the Covid-19 pandemic.The policy debate tends to focus on the need for skills an...Read More
Authors: Livia Wagner, Thi Hoang The policy brief was originally posted here on GI-TOC website, as part of its #CovidCrimeWatch initiative. The coronavirus is not only claiming hundreds of thousands of lives, but is also causing a global econo...Read More
This year’s World Employment and Social Outlook: Trends provides a comprehensive assessment of current decent work deficits and how these have been exacerbated by multiple, overlapping crises in recent years. It analyses global patterns, regional ...Read More
In 2012, the Directive 2012/29/EU of the European Parliament and of the Council of 25 October 2012 establishing minimum standards on the rights, support and protection of victims of crime Union - the socalled Victims' Rights Directive -, that create...Read More
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