Humans at the convergence of digital and real environments
The recent growth of digital societies (through social networks, ubiquitous computing, ambient intelligence, etc.) sets the human being at the center of a new research domain at the crossroads of data analysis, knowledge extraction and social computing. The complexity and quantity of data generated by information flows and mobile artifacts, and the services accessible to users are then at the source of new research issues. This program explores the issues of learning and modeling from large and complex data with the goal of extracting human or machine manageable knowledge.
This program is organized around four selected grand challenges: large scale complex data processing, knowledge emergence, digital and human decision-making and socially intelligent computing. These four challenges cover a whole chain going from the analysis of complex data to the understanding and sharing by humans of the knowledge extracted from this data.
Main Challenges:
1. Large scale complex data processing
2. Knowledge emergence
3. Digital and Human Reasoning
4. Socially intelligent computing
Contact: Christophe Marsala (LIP6), Patrick Gallinari (LIP6)