| 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. |
Global attention to ending child marriage and its socio-economic consequences is gaining momentum. Ending child marriage is not only critical from a development perspective but it also has important economic implications. This paper is the first...Read More
Malaysia’s electronics sector workforce includes hundreds of thousands of foreign migrant workers who come to Malaysia on the promise of a good salary and steady work – an opportunity to make a better life for themselves and their families. But ...Read More
The present report outlines the main activities undertaken by the Special Rapporteur on the human rights of migrants, Felipe González Morales, during the reporting period since his most recent report to the General Assembly. In the report, the ...Read More
With the global refugee crisis showing no signs of abating, multinational companies need to consider how their supply chain interacts with refugees, who are often more vulnerable to forced labor when they seek out work in a new country. Combating F...Read More
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