| 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. |
International migration has become a ‘mega trend’ of our times, with more than 260 million migrants living outside their country of origin in 2017. Some move in search of better livelihood opportunities, others flee conflict, environmental degrad...Read More
Covid-19 has had a devastating impact on those most vulnerable to forced labour and human trafficking. Around the world, communities already suffering from poverty and exploitation have borne the brunt of the pandemic and its economic fallout. Th...Read More
In the present report, the Working Group on the issue of human rights and transnational corporations and other business enterprises takes stock of business and government action to advance the implementation of corporate human rights due diligence as...Read More
Corruption is an underlying cause of and a facilitating tool for practices arising from contemporary forms of slavery; it is essential to creating the conditions for a low-cost, low-risk, high-profit illicit trade in vulnerable individuals. Yet, cor...Read More
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