On Thursday, December 13 (3 pm), the “Antonio Ruberti” Department of Computer, Control and Management Engineering has organized a meeting with Yelena Mejova from the Turin Fondazione ISI to discuss the latest discoveries in terms of real-time lifestyle-related disease monitoring through the collection of data on social networks, both for individuals and populations. 

The scale and complexity of the traces of human behaviour captured on the web has been a useful resource for tracking disease, pushing the lag of conventional health tracking to more real-time "now-casting". These signals provide a rich source of information about the context of people's health conditions, revealing their cultural, social, and personal attitudes and behaviours, making social media data especially useful for understanding lifestyle diseases, such as obesity and diabetes -- conditions that claim more lives than infectious diseases worldwide.