Machine learning (ML) can improve data applications in disaster risk management, especially when coupled with computer vision and geospatial technologies, by providing more accurate, faster, or lower-cost approaches to assessing risk. At the same time, we urgently need to develop a better understanding of the potential for negative or unintended consequences of their use. The… Read more »
In Congo, over 300 people—half of them women— received trainings on community planning and leadership change.
Open Cities Zanzibar has generated and visualized datasets critical to disaster risk management, building the capacity of government staff, university students, and communities in the process.
Les données sont nécessaires pour la prise de décision. Elles sont utiles si elles sont à jour, précises et exhaustives, encore faut-il qu’elles soient accessibles et partagées !
Anyone can contribute to OpenStreetMap. But few gain the chance to see the other side of the collaborative mapping process: when field mappers take to the streets.