Forced labour is a recognised issue in open ocean fishing, but historically the scale of this crime has been very hard to track. When a joint research team from Global Fishing Watch, emLab at UC Santa Barbara, and Liberty Shared was trying to find out more about the use of forced labour in fisheries, a breakthrough came when they asked a key question: What if vessels that use forced labour behave in fundamentally different observable ways from vessels that do not?
Based on this question, the researchers built a predictive model that can identify vessels that are highly likely to be using forced labour.
In this webinar, the research team explains how they developed a way in which to distinguish between vessels that use forced labour and those that do not – and the potential to use this model to build an actionable tool for practitioners in the future.
Social auditing can be improved with a deeper focus on the issues of human trafficking for forced labour and the unique circumstances facing migrant workers. Social auditors and certifiers can help eliminate human trafficking for forced labour by developing and...
Human trafficking is devastating for the victims but low-risk for the criminals, whose activities are largely hidden from view. To disrupt it, law enforcement is turning to some unlikely new partners—banks. ...Read More
Currently, is it estimated that 1.8 million children are exploited worldwide in prostitution or through pornography. Furthermore, it is believed that 20% of victims trafficked for sexual exploitation are children. In 2001, there were approximately 100,000 pornography sites containing child...
Given the rapid development of initiatives aimed at helping businesses fight human trafficking, the RESPECT Initiative (comprising Babson College’s Initiative on Human Trafficking and Modern Slavery, the Global Initiative Against Transnational Organized Crime and the International Organization for Migration (IOM)),...
2025 © Copyright, RESPECT International. All Rights Reserved. Website Disclaimer | Privacy Policy
