Elli Kartsakli and Alba Cañete from the BSC presented at the Barcelona Beat Agora, hosted by the Barcelona City Council on 26 February. Their presentation focused on smart city applications of the key enabling technologies that facilitate extreme data mining. It also included an introduction into the Venice Personalised Evacuation Route crisis management use case.
On February 11, we celebrate the Women in Science who help make research and development possible. Get to know the responsabilities of the women driving the EXTRACT project.
A machine-learning (ML) model recommends where each individual should go in case of a disaster, taking into account the person’s characteristics and capabilities (age, disability, etc) and the limited capacity and labyrinthian streets and alleys of ancient Venice. To allow people’s devices to access this model, it needs to be served, i.e., be available as a remote service.
