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Satellites Expose Risks Of Forced Labor In Global

© whitcomberd / Adobe Stock Fishing vessels with crews of forced laborers behave in systematically different ways to the rest of the global fleet, according to a study purporting to be the first to remotely identify vessels potentially engaged in modern slavery. Using satellite data, machine learning and on-the-ground expertise from human rights practitioners, U.S. researchers found up to 26% of about 16,000 industrial fishing vessels analyzed were at high risk of using forced labor. As many as 100,000 people are estimated to work on these high-risk vessels, many of whom are potential victims of forced labor. The study also showed where these high-risk vessels fished and the ports they visited.

Study shows satellite data can reveal forced labor at sea

Study shows satellite data can reveal forced labor at sea By Dec. 22, 2020 13:05 GMT A new paper titled Satellites can reveal the global extent of forced labor in the world’s fishing fleet will be released next week in the scientific journal Proceedings of the National Academy of Sciences of the United States of America, known as PNAS [.] Want to keep reading? sign up This field is required Remember me Enter the email address associated with your account. We ll send you instructions to reset your password. This field is required to change your password. redirecting. Don t miss a beat Start your week with our Editor s choice

Satellites can reveal risk of forced labor in the world s fishing fleet

 E-Mail IMAGE: Percentage of 2018 fishing effort (in kilowatt-hours) made by model-identified high-risk vessels out of the total fishing effort by all vessels included in the model, using baseline assumptions, within the. view more  Credit: Global Fishing Watch EMBARGOED FOR DECEMBER 21, 2020, AT 3:00 PM EST Washington, D.C. - Vessels known to have crew that are subject to forced labor behave in systematically different ways to the rest of the global fishing fleet, reveals a new paper published today in the scientific journal, Proceedings of the National Academy of Sciences. The discovery was used to build a first-of-its-kind model to identify and predict vessels at high risk of engaging in these abuses.

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