On 5 April, the University of British Columbia said that a new modelling approach combines machine learning and human insights to map the regions and ports most at risk for illicit practices, like forced labour or illegal catch, and identifies opportunities for mitigating such risks. Using an online survey of experts, the researchers also found that labour abuse and illegal, unreported and unregulated (IUU) fishing are globally pervasive: of more than 750 ports assessed around the world, 57% are associated with risks of labour abuse or IUU fishing. However, in addition to revealing the global extent of these risks, the study also highlights potential pathways to reduce these risks through actions at port that detect and respond to labour abuse and deter the landing of illegally caught fish. It notes that all voyages begin and end in port. These bustling stopovers serve as critical hubs where officials can monitor and enforce legal frameworks that govern labour and catch.
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