Yelena Mejova is a Research Leader at ISI Foundation in Turin, italy. Previously she was a scientist at the Qatar Computing Research Institute in the Social Computing Group. Her research concerns the use of Social Media in health informatics, especially in lifestyle diseases, as well as for tracking political speech and other cultural phenomena. As a post-doc at Yahoo Research Barcelona, she was a part of Web Mining and User Engagement groups, working with Mounia Lalmas on the Linguistically Motivated Semantic Aggregation Engines project.
Specializing in social media analysis and mining, Yelena’s work concerns the quantification of health and wellbeing signals in social media, as well as tracking of social phenomena including politics and news consumption. Recently, she co-edited a volume on the use of Twitter for social science in Twitter: A Digital Socioscope, and a special issue of Social Science Computer Review on Quantifying Politics Using Online Data. |
Rossano Schifanella is an Assistant Professor in computer science at the University of Turin where he is a member of the Applied Research on Computational Complex Systems (ARC²S) group. He is a visiting scientist at Nokia Bell Labs, Cambridge, UK, and a former visiting scientist at Yahoo Labs and at Indiana University School of Informatics and Computing where he was applying computational methods to model social behavior in online platforms in collaborations with the Networks & agents Network (NaN)group.
His research mainly focuses on a data-driven analysis of the behavior of (groups of) individuals and their interactions on social media platforms, aiming to reach a deeper understanding of online and offline social behavior. He is also interested in computational methods to investigate social phenomena, aesthetics and creativity in media platforms, and figurative language. He is passionate about building new mapping tools that capture the sensorial layers of a city and designing innovative methods to explore urban spaces. |