Dynamic Estimates of Displacement in Disaster Regions

Welcome

This website hosts the materials for the final workshop & hackaton of Project: Dynamic Estimates of Displacement in Disaster Regions: A Policy-Driven Framework Triangulating Data by Dr. Elisabetta Pietrostefani, Matt Mason and Prof. Francisco Rowe from the University of Liverpool and Hong Tran-Jones from IOM UN Migration - Displacement Tracking Matrix.

Conducted in collaboration with the International Organization for Migration’s Displacement Tracking Matrix (DTM) and Snowflake Inc., this project explores innovative ways to estimate displacement in disaster-affected regions. By comparing digital trace data with traditional data sources, it aims to develop a robust, policy-driven framework for triangulating and enhancing displacement estimates.

The website is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 International.

Contact

Elisabetta Pietrostefani - e.pietrostefani [at] liverpool.ac.uk Lecturer in Geographic Data Science, University of Liverpool.