The symposium Brough together experts from Centre for Data Science, School of Mathematical Sciences at Queensland University of Technology (QUT); HACE: Data Changing Child Labour; and the Brazilian Ministry of Labour and Social Security.
Each contributor reflected on the specific challenges related to their work and the measures they have found most effective to address child labour. With a focus on the use of AI, machine learning, computational science and other frontier technologies, the Code 8.7 Symposium highlighted the current and potential capacity of frontier technologies to employ data to identify and address child labour, including by generating predictive modeling to understand and address vulnerability.
