This interactive session explores how efforts to eliminate child labour can be strengthened by responses inspired by future challenges and opportunities. While progress over the past two decades demonstrates what is possible, child labour remains highly sensitive to shocks, with climate stress, economic volatility, technological change, migration and conflict increasingly shaping risks. Using a participatory, scenario-based and AI-enhanced approach, participants will reflect in groups on plausible futures between 2026 and 2045 to identify key drivers, early warning signals and priorities for more resilient and adaptive prevention and response strategies.

This interactive session will explore how hazardous child labour can be better addressed to accelerate efforts to eliminate the worst forms of child labour by making decent work a reality for all. It will examine the essential policy, institutional, financial and community-based elements needed to ensure children are removed from hazardous work and supported through safe, inclusive and sustainable pathways toward decent work. The session will use a policy lab format, in which participants engage in scenario-based group work to simulate policy responses and assess their impact.

The objective of this session is to familiarize participants with the Child Labour Toolkit, with a particular focus on selected tools and on integrating child labour as a child protection concern in humanitarian contexts. This will enable participants to identify, prevent and respond to child labour within their respective roles. Through scenario-based group work, participants will learn how to contextualize and apply these tools within their national and organizational systems.

This session will explore innovative data methodologies to assess child labour risk and strengthen the link between research and policy action. It will present approaches such as small-area estimation for detailed geographic insights, cluster analysis to identify households with similar risk profiles and composite risk mapping to understand risk distribution across regions or groups. These methods can complement national data, reveal hidden trends and provide evidence for policy development. The discussion will focus on how to translate research findings into concrete actions to eliminate child labour.

No agricultural investment programme is neutral with regard to child labour. Even when it is not explicitly included, such a programme can have direct or indirect impacts – positive or negative, intentional or unintended – on children and on the prevalence of child labour. It is therefore essential to integrate a child labour-sensitive approach into agricultural investments and programmes, not only to assess risks and prevent harm but also to strengthen accountability, reinforce safeguarding systems and maximize the positive social impact of interventions. The session will combine FAO and World Bank tools for child labour risk assessment with case studies, enabling participants to collaboratively adapt these approaches to their institutional and country contexts.