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News 23 May 2019

UNU Institute in Macau at the CHI 2019 Conference: Weaving the Threads of CHI

Dr. Hannah Thinyane presented a paper in CHI’s social justice theme about Apprise and the project's contribution to identifying labour exploitation.

News 21 Mar 2019

Apprise Selected as Finalist in the World Justice Challenge

The project, which uses technology for the protection of vulnerable populations, will be showcased at the World Justice Forum VI in the Hague.

Blog Post 14 Mar 2019

Testing Apprise Audit in Thailand

This research trip aimed to observe how companies used the tool to support screening of migrant workers as part of their social compliance audits.

News 20 Feb 2019

UNU Institute in Macau at the Code 8.7 Conference

Dr. Hannah Thinyane shared the experiences of the Apprise project and launched a policy brief.

Blog Post 21 Jan 2019

Screening Migrant Workers in Thailand with New Technology

UNU Macau embarked on a research project with the Mekong Club to help to identify potential victims of forced labour and human trafficking.

Project 09 Jan 2019

Transforming informal work and livelihoods

This project will shed light on the causes of and most effective mechanisms to reduce informality, and the effects of the COVID-19 on informal work.

Project 10 Jan 2019

Women's work - routes to economic and social empowerment

This project aims to shed light on how and why women’s work differs from men’s work in specific contexts, in order to help narrow the gender gap.

News 19 Dec 2018

Blog | Treating Human Trafficking like a Preventable Disease

Migrants leave their countries hoping for better working conditions, but some end up being trapped in human trafficking and exploitation.

Blog Post 18 Dec 2018

Delta 8.7: 5 lessons learned on slavery risk for policy actors

Lessons learned from a Delta 8.7 online Symposium on Modeling Slavery Risk.

Blog Post 28 Oct 2018

AI & Global Governance: Artificial Intelligence for All - A Call for Equity in the 4th Industrial Revolution

As we delegate more tasks and decisions to AI systems, how will humans minimise harm and maximize benefit?