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.
This video infographic outlines the main forms of violence which continue to affect women and children in Peru during the Covid-19 pandemic, including human trafficking and online sexual violence. https://www.youtube.com/watch?v=d8t9TliWe4w ...Read More
The extractive industry is highly vulnerable to human rights abuses and environmental crime, such as human trafficking along with the uncontrolled use of toxic substances and deforestation. The sourcing of goods from geographically remote locations and often convoluted supply chains...
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)),...
Consumers play a critical role in determining the structure of a global supply chain based on a number of factors. Consumers also possess the power to create systemic change surrounding human trafficking within supply chains just by what they do...
2020 © Copyright, RESPECT International. All Rights Reserved. Website Disclaimer | Privacy Policy
