EVENTS

Despite the global expansion of mobile and internet networks, critical connectivity gaps persist – particularly in areas most vulnerable to natural hazards and other emergencies. Reaching these populations with timely early warnings remains a pressing challenge for achieving the UN Early Warnings for All (EW4All) initiative.

Approximately 97.9% of the world’s population is covered by mobile network technology, gaps remain, leaving millions without reliable access to life-saving communications.

To address this challenge, the Telecommunication Development Bureau (BDT) of the International Telecommunication Union (ITU), in partnership with Microsoft AI for Good Lab, Planet Labs and the Institute of Health Metrics and Evaluation (IHME) at the University of Washington, has developed the Early Warning Connectivity Map (EWCM). This geospatial tool integrates connectivity and coverage datasets with high-resolution population density and hazard exposure datasets to produce granular, subnational maps that identify connectivity ‘coldspots’.

The EWCM helps ICT regulators and national stakeholders to visualize where connectivity investments or alternative communication solutions – such as radio or satellite – are needed to ensure access to early warnings. This session will showcase the EWCM using a case study from Liberia, illustrating its value for strengthening early warning systems nationally. Learn more

Institutions

• AI for Good