McDonald, Gavin G. and Costello, Christopher and Bone, Jennifer and Cabral, Reniel B. and Farabee, Valerie and Hochberg, Timothy and Kroodsma, David and Mangin, Tracey and Meng, Kyle C. and Zahn, Oliver (2021) Satellites can reveal global extent of forced labor in the world’s fishing fleet. pp. 1-9.
Full text not available from this repository. (Request a copy)Abstract
While forced labour in the world’s fishing fleet has been widely documented, its extent remains unknown. No methods previously existed for remotely identifying individual fishing vessels potentially engaged in these abuses on a global scale. By combining expertise from human rights practitioners and satellite vessel monitoring data, we show that vessels reported to use forced labour behave in systematically different ways from other vessels. We exploit this insight by using machine learning to identify high-risk vessels from among 16,000 industrial long liner, squid jigger, and trawler fishing vessels. Our model reveals that be-tween 14% and 26% of vessels were high-risk, and also reveals patterns of where these vessels fished and which ports they visited. Between 57,000 and 100,000 individuals worked on these vessels, many of whom may have been forced labour victims. This information provides unprecedented opportunities for novel interventions to combat this humanitarian tragedy. More broadly, this research demonstrates a proof of concept for using remote sensing to detect forced labour abuses
| Item Type: | Articles |
|---|---|
| Keywords: | Satellites, Labour, Fishing Fleet, Decent Work, Forced Labour, Human rights, Fishing Vessels, |
| Subjects: | Decent Work |
| Depositing User: | Vivek D ICSF |
| Date Deposited: | 03 May 2024 05:04 |
| Last Modified: | 03 May 2024 05:04 |
| URI: | http://icsfarchives.net/id/eprint/20079 |
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