| 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. |
This review has drawn upon findings from evaluations and research that has been carried out by academics and by government departments. It has identified that in some cases, there is an absence of an independent, published evaluation. To understand ...Read More
Executive Summary Depriving someone of their freedom is a terrible violation. Modern slavery is a destructive, personal crime and an abuse of human rights. It is a widespread and profitable criminal industry but despite this it is largely invisible, ...Read More
Documenting the impact of new legislative acts is an indispensable tool for improving the effectiveness of this legislation and advancing business practice.
Migration is not a new phenomenon in India. People have moved across the length and breadth of the country for various reasons, including work. Today, India has a burgeoning urban population, which contributes to about 63% of India’s GDP. A large ...Read More
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