AI and Evaluation in Complex Contexts: Climate Resilience, Disaster Response and Humanitarian Action

Evaluating interventions related to climate resilience, disaster risk response and humanitarian action presents significant methodological challenges. These contexts often involve complex systems, long time horizons, uncertain outcomes, and dynamic environments.

Artificial intelligence tools may offer new possibilities for analysing complex datasets, identifying patterns across systems, and supporting monitoring in disaster-prone environments. At the same time, these technologies raise important ethical and methodological questions about bias, contextual interpretation, and responsible data use.

This session will explore how AI tools may contribute to evaluating climate resilience , disaster risk initiatives and humanitarian action in complex contexts.

Participants will gain insights into:

• Potential applications of AI tools for evaluating complex systems
• Opportunities for analysing large or complex datasets related to climate resilience,  disaster risk and humanitarian action
• Ethical and contextual considerations when using AI in sensitive environments
• How evaluators can balance technological innovation with contextual understanding