I. Nowcasting and Predictions on Forced Displacement

Jun 17, 2025 | 1:45 PM - 3:00 PM

Niagara Building, NI: B0E07

Description

This parallel session, made up of the panellists selected by the IFMS Scientific Committee, explores innovative data-driven approaches to predicting and monitoring forced displacement to improve humanitarian responses. Panellists will discuss subjects such as advancements in statistical nowcasting techniques, big data applications, and machine learning-based predictive tools. The session will highlight how these methodologies can provide more accurate, timely insights into displacement patterns, which can lead to better resource allocation, policy interventions, and preparedness. Moderator: Andrea Pellandra, Senior Data Scientist, UNHCR Speakers: - Giulia Del Panta, Associate Data Scientist, UNHCR - Özge Bilgili, Associate Professor, Utrecht University - William Low, Digital Innovation Manager, Save the Children International - Teddy Wilkin, Senior Coordinator, European Union Agency for Asylum