AI for Cyclone Response
When a disaster strikes, humanitarian agencies need to act fast in order to provide the help needed by the affected communities. Determining what items and in what quantity must be deployed is a crucial task on disaster management. In this webinar, I will discuss how our Omdena team used Artificial Intelligence techniques and disaster management guidelines to build an application to determine what items should be present in relief packages for cyclone response. The team has used publicly available data on cyclones and socio-economic features in order to predict the affected population and identify the most suitable relief packages.
Rosana is a PhD in Astrophysicist, with a 10 years background in academic research. Currently she is transitioning careers into Data Science and Artificial Intelligence for social good, looking for opportunities to apply her knowledge into the nonprofit and humanitarian sector. In the Omdena community, Rosana has participated on Artificial Intelligence challenges, implementing data-driven solutions to real world problems. In particular, she was one of the managers in the Omdena project presented in this webinar, in which a team of 35 persons build an application for cyclone response, identifying what items need to be supplied when a disaster takes place.