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.
Kevin Hyland OBE was the UK’s first Independent Anti-Slavery Commissioner (IASC), a role created as one of the key provisions of the Modern Slavery Act (MSA) 2015. In this capacity, Hyland led efforts to tackle modern slavery and human trafficking,...Read More
The first webinar of the 2018 series will introduce the topic “The Human Trafficking – Organized Crime Nexus: Intersections, Vulnerabilities, and Analysis for the Private Sector,” and outline the webinar series for the coming months. Transnational organized crime groups make...
On the occasion of the EU Anti-Trafficking Day, one of the RESPECT founding organisations, the Global Initiative against Transnational Organized Crime co-organized a high-level conference on “Human Trafficking and Human Rights – Access to Rights for Victims of Human Trafficking” with...