Social sciences undergo a rapid change. The data deluge due to the fantastic development of computers and information-communication technology opens unprecedented possibilities so that earlier inaccessible problems can be studied and understood, and even predictions can be made. These problems include the large-scale structure of society, multi-scale dynamics of human mobility, social contagion, filtering fake news and identifying echo chambers, urban dynamics and well-being in cities, and many more. The new challenges brought by using Big Data in social sciences require new methods and multi-disciplinary effort. As a result, a new field has emerged based on social science, computer science and complexity science, where computers are pivotal in designing and performing research. Techniques like data mining and processing, agent-based modeling and online experiments, statistical evaluation and theoretical analysis are equally part of it. The goal of the course is to give an introduction to this new, emergent field.
Learning activities and teaching methods
Students will have to follow the lectures, prepare homework and present a project work prepared in teams or individually.