Event

Code 8.7 Virtual Symposium: Using Tech-Assisted Data to Identify and Address Child Labour

Delta 8.7 convened an online panel on the use of technology-assisted data to identify and address child labour.

Time
- America/New York
Register

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.

Speakers

Adriana Bora

Centre for Data Science, School of Mathematical Sciences at Queensland University of Technology (QUT)

Eleanor Harry

HACE: Data Changing Child Labour

Roberto Padilha Guimarães

Brazilian Ministry of Labour and Social Security
Alice Eckstein

Alice Eckstein

Programme Manager
UNU-CPR
Project
Delta 8.7
Theme
Jobs (decent work)
Keywords
Child labour Children Big data
Institute
UNU-CPR
Date Published
25 Feb 2022

Related content

Degree Defense

PhD Defence: Understanding and predicting risk perception of artificial intelligence: Conceptual, cognitive, and computational perspectives

Jonas Krieger

-

Event

The Personal is Political: Re-imagining Data Governance in the context of Digital Health

This webinar focuses on data governance and sexual and reproductive health (SRH) in the context of a rapidly evolving digital health industry

-

Project

Access to education and right to participate of children with disability

This interdisciplinary research project aims to understand how access to education can foster the right of children with disabilities to participate.

22 Sep 2026

Seminar

Detecting Technological Trajectories: Emergence, Convergence, Divergence, and Dormancy in Innovation Dynamics

Our UNU-MERIT Seminar Series is pleased to promote an upcoming research seminar featuring Roney Fraga Souza from the Faculdade de Economia da Universidade Federal de Mato Grosso, Brazil.

-