Ensure that all vulnerable communities have the information they need to prepare for and respond to disasters by reducing the scientific barriers to the necessary information.
Cloud to Street comes out of our experience as community organizers in some of the climate vulnerable places of the US and doing disaster relief and community resilience building in poor communities in El Salvador. The seed moment was when Google come to Yale in 2013 while Bessie and Beth were graduate students at Yale University. Google presented their new geospatial analysis platform; Beth turned to Bessie and said “I know some communities in Latin American this can help.” Bessie responded that such a tool could mobilize communities and help support government action.
Beth and Bessie flew to Mountain View that summer to show Google an early version of the algorithm, after which Google sent us to a development conference in Kenya. Through that conference, a manager at the World Bank told us that 6,000 people died in a flood in Uttarakhand, India and the state government still didn’t have sufficient flood maps to recover and prepare for the next disaster. So Cloud to Street came out of the lab based on the need for the rapid disaster services it could provide. Within a few mounts, Cloud to Street used an early version of the work.
Implemented in 5 countries, the Cloud to Street platform aims to protect more than
10 million people around the world by 2022.