Displacement forecasting for anticipatory action: Guidance launch

About the event

To bridge the gap between predictive data and timely operational decision-making, the Danish Refugee Council (DRC) has developed the Anticipatory Humanitarian Action for Displacement (AHEAD) model. Operating across multiple crisis contexts, AHEAD delivers rolling, sub-national displacement projections three months ahead, updating monthly to identify emerging pressure before formal reporting catches up.   

Join us for the launch of the AHEAD User Guidance Note. In this session, we will unpack how the model works, how to interpret its probabilistic projections and uncertainty ranges, and how pre-agreed thresholds turn data into actionable early warning signals. Crucially, we will explore how DRC combines quantitative predictive modelling with community-level indicators—ensuring that anticipatory planning remains rooted in lived ground realities rather than algorithms alone.   

Key Takeaways:

Demystifying the Numbers: Distinguishing net caseload changes from gross displacement flows and interpreting Bayesian uncertainty ranges.

Setting Operational Triggers: How percentile-based historical thresholds balance lead time, early readiness, and false-alarm risks.

The Two-Layer Approach: Blending statistical forecasting with community-led protection indicators and pre-agreed anticipatory action frameworks.

Practical Operational Insights: Real-world applications and model evaluation takeaways from contexts including DR Congo, Niger, and South Sudan.