Artificial Intelligence for Disaster Risk Reduction: A Masterclass Series by UNDRR
Disaster Risk Reduction (DRR) in Africa faces several interconnected challenges that hinder the continent's ability to prepare for, respond to, and recover from disasters effectively. These challenges are rooted in socioeconomic, environmental, political, and institutional factors. The lack of early warning systems (EWS) and data is a critical challenge in disaster risk reduction (DRR) in Africa, as it directly affects the ability to anticipate, prepare for, and respond to disasters. For example, warnings are sometimes issued too late or in a technical or vague format that communities cannot interpret or act upon quickly, while standard protocols for issuing, escalating, and responding to warnings are lacking. At the same time, many countries in Africa have underdeveloped or outdated weather observation networks , with few weather stations or functioning satellite systems. As a result, real-time monitoring of rainfall, temperature, wind, and other variables is often incomplete...