Blog Post
What We Had Missed about Work During COVID-19 in Nigeria
COVID-19 deepened gender inequality in Nigeria’s labour market, with women facing sharper job losses and slower recovery than men.
Blog Post
Small AI, Big Results
How accessible, task‑focused AI tools can advance more equitable and sustainable development.
Project
Resource Nexus analysis of critical raw materials landscape in Central Asia
The project provides a systemic framework for assessing sustainable raw material extraction in Central Asia, thereby supporting the Institute's mission to develop sustainable strategies for managing material flows and resources in a holistic, integrated manner.
Media Coverage
Ending the Exclusion Begins with Inclusive Education
An op-ed in Japan Today calls for inclusive education from early life to enable persons with disabilities to fully participate in society.
Blog Post
Gendered Realities From the UNU-IIGH Symposium on Workplace Violence and Safety for CHWs
During the 2025 CHW Symposium, UNU-IIGH & Imarisha Consortium partners organised a virtual event on gendered WPV in community healthcare settings
Blog Post
Workshop: Strengthening CHW policies through a gender responsive tool
UNU-IIGH co-organised this virtual workshop in partnership with UNICEF Regional Office for South Asia on the occasion of the 2025 CHW symposium
Article
AI and Africa’s Future Of Work — Mozambique’s Moment Of Decision
If we incorporate AI into a vision of inclusive and sustainable growth, technology can amplify, rather than replace, human potential.
Blog Post
Success stories from South and Southeast Asia: Organising as a tool to achieve regularisation and recognition
UNU-IIGH co-organised this virtual event in partnership with Public Services International on the occasion of the 2025 CHW symposium
Article
Brazilian Delegation Visits UNU-FLORES for Post-Mining Exchange
Lusatia offers a case study for the benchmarking exercise
Article
Reimagining Employment in the Age of the Fourth Industrial Revolution
Conventional legal ideas and laws created for a world centred on humans frequently prove inadequate when applied to artificial intelligence.