Building on the potential of the
DCM, the
Early Warning Connectivity Map expands ITU’s mapping capabilities into the domain of multi-hazard early warning systems by integrating three core layers: network connectivity, population density, and hazard exposure. Using AI and satellite imagery, the EWCM enables a more risk-informed analysis and helps identify high-risk communities not covered by early warning alerts due to limited or no network coverage.
It was developed as a flagship tool of the Early Warnings for All initiative's AI Group, in collaboration with key initiative partners: Microsoft, Planet Labs, and the University of Washington’s Institute for Health Metrics and Evaluation (IHME). The EWCM locates connectivity “cold spots,” or people not covered by digital networks, helping countries identify priority areas for infrastructure investment, design more inclusive warning dissemination strategies, and strengthen last mile reach.