Guiding networked societies, linking data science and modelling

Networks of interconnected autonomous computing entities more and more support our society, interacting and influencing each other in complex and unforeseen ways. Examples are smart grids, intelligent traffic lights, logistics and voluntary peer-to-peer clouds as well as socio-technical systems or more generally the Internet of Things. Understanding the characteristics and dynamics of these systems both at the local and global scale is crucial in order to be able to guide such systems to desirable states. The partners participating in this WOG proposal each study crucial features of such complex systems, or they are experts in related fields that offer complementary techniques to analyze the massive data that is generated by them. Bringing these orthogonal fields of expertise together in a scientific research community, promises to give great opportunity for cross-fertilization and the development of novel analysis and control techniques.

Keywords:ARTIFICIAL INTELLIGENCE, DATA SCIENCE, MACHINE LEARNING

Disciplines:Artificial intelligence, Cognitive science and intelligent systems

Project type:Collaboration project