Social Computing and Communication (SocialCom)
Meso-scale and large-scale behavioural data, sensor networks, and crowdsourcing systems form the heart of this area, which also leverages methods based on machine learning and natural language processing.
The key goal is to support industry, policy makers, government and other decision-making partners by informing and advising how to design and manage the system to reach its desired social outcome. The main research topics are:
- user profiling
- user personalization
- localization and user location analysis (with social, economic and geographical purpose)
- social analysis
- recommendation systems
- privacy awareness
- transportation and urban planning
Modern projects are highly interdisciplinary, and for this reason the social component is complementary and essential to the technical expertise of the ISIN ICT research areas, as well as of many other institutes at DTI and other departments. In particular, along the years we developed specific knowledge to extract social information and to tackle the aspect from the social standpoint. The key points include:
- social mechanisms and interactions in real and virtual systems and networks;
- human behaviour, with a specific focus on human mobility and activity recognition;
- privacy concerns in the cyber world and privacy risks for users;
- modeling of the behavioural patterns;
- system-level social dynamics.
Contact:
Silvia Giordano & Salvatore Vanini
Head of Social Area
Phone: +41 (0)58 666 65 16
Phone: +41 (0)58 666 65 86