Tuesday, February 19th, 2019


9AM - 5PM

New York, United States

Conference | Code 8.7 Using Computational Science and AI to End Modern Slavery

UNU-CS Principal Research Fellow, Hannah Thinyane, will participate in the Code 8.7 conference, which will bring the computational research and artificial intelligence (AI) communities together with those working to achieve Target 8.7 of the Sustainable Development Goals.

SDG Target 8.7: Take immediate and effective measures to eradicate forced labour, end modern slavery and human trafficking and secure the prohibition and elimination of the worst forms of child labour, including recruitment and use of child soldiers, and by 2025 end child labour in all its forms

Code 8.7 will use innovative sessions to develop “technology pipelines” providing deployable tools and techniques grounded in the real experiences of anti-slavery actors. The conference will combine policy and practical problem-solving sessions. Hannah will present during a session that aims to provide participants the opportunity to brainstorm how computational science methods might be better brought to bear on particular pieces of the Target 8.7 puzzle.

Hannah leads the project on Migrant Technology at UNU-CS and one of its activities is the development and dissemination of Apprise, a technology to help identify victims of forced labour and human trafficking.


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