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.
The second webinar of the RESPECT Webinar Series 2017 New technologies, Innovation and Entrepreneurship Tackling Human Trafficking was held on Thursday, 26th of January 2017. How are new technologies and innovations impacting human trafficking? How can new technologies and innovation address...
Sneaker connoisseur Jacques Slade is a guy that really loves his sneakers and creates YouTube videos about them, as well as other things. In one of his recent standout unboxing clips, Slade revealed something glaring, specifically to focus our attent...Read More
This introduction webinar for the RESPECT Webinar Series 2017 New technologies, Innovation and Entrepreneurship Tackling Human Trafficking was held on 8th December 2016. How are new technologies and innovations impacting human trafficking? How can new technologies and innovation address and combat human...
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)),...
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