Evidence Gap Map (ILO)

The Evidence Gap Map is a visual tool used to identify and display knowledge gaps that must be addressed to inform policies on child labour (CL), forced labour (FL) and human trafficking (HT). It shows where robust evidence is available and where it is limited or absent, enabling researchers and policymakers to set research priorities, support evidence-based policy decisions and better target policy and programme responses.

Briefly explain the relevance of the proposed event to the themes of the 6th Global Conference, including the key labour-related challenges addressed, the background context, and (if applicable) the geographic or sectoral coverage of the session.

 

Child Labour Free Zones (CLFZ) in Ghana: A government-led multi-stakeholder model applying integrated area-based approach Ministry of Labour, Jobs and Employment (MLJE) (Ghana)

The CLFZ initiative strengthens the full ecosystem required to eliminate child labour within defined geographical zones. It builds the structural and social conditions for child protection by enhancing district–community coordination, improving public service delivery, strengthening school–community structures, and promoting multi-stakeholder coordination. Ongoing model implementation in four districts validates the feasibility of CLFZ, embeds locally functioning child labour monitoring system and child protection in local planning and budgeting. The CLFZ approach is institutionalized as a part of Ghana’s Accelerated Action Plan Against Child Labour (GAAPACL) and creates scalable pathways for future expansion through partnerships with a wide range of partners, such as Japan International Cooperation Agency (JICA), UNICEF, ILO, World Bank Group, ICI, private sector partners and civil society organizations.

 

Trade Union–Led Community Monitoring to Prevent and Eliminate Child Labour (ITUC)

This initiative showcases a trade union–led community monitoring approach to prevent and eliminate child labour, implemented across several countries in Asia. It demonstrates how trade union members and community volunteers identify child labour risks at the local level and support early intervention through education, social protection, and coordination with authorities, particularly in high-risk sectors such as agriculture and informal work. The approach is innovative in its use of simple digital tools alongside existing trade union structures to collect and analyze community-level data, enabling timely follow-up, stronger labour law enforcement, and evidence-based advocacy. By reinforcing—not duplicating—existing government and social partner mechanisms, it offers a scalable, sustainable model that strengthens prevention, accountability, and the role of organised workers in eliminating child labour.