Over the past decade, the risk of humanitarian crises has continued to rise, despite progress in disaster preparedness and response. These crises often emerge from the intersection of natural hazards with conflict, epidemics, political instability, and structural poverty, leading to food insecurity, displacement, and widespread disruption. This creates an urgent need for improved methods of risk assessment, forecasting, and anticipatory action in humanitarian contexts, where data are scarce, risk interactions are complex and dynamic, and decisions must be made under compressed timelines.

This session welcomes contributions that address these challenges, exploring innovative approaches to understand, anticipate, and respond to crises at the intersection of natural and societal hazards. Topics may include, but are not limited to:

• Analysis and prediction of compounding and cascading risks in fragile, conflict-affected, and violence-prone contexts;
• Influence of natural hazards on food insecurity, displacement, and conflict;
• Integration and estimation of dynamic vulnerabilities in multi-risk assessments;
• Innovative use of Earth Observations and AI/ML to fill data gaps and improve understanding and forecasting in humanitarian settings;
• Scenario-based and narrative approaches (e.g., storylines, dynamic adaptive pathways) for anticipating plausible future crises and uncertainty quantification.

The session aims to advance methodologies that enhance humanitarian emergency anticipation and response, from multi-hazard identification and monitoring to early warning, early action, response, and recovery in highly vulnerable contexts.