Quantitative & Computational Social Science

The vast amount of data produced as a byproduct of our daily activities on digital platforms are harnessed and analysed using advanced statistical methods and machine learning to answer old and new social science questions. In addition, online experiments have become a key methodological tool in social science, which has resulted in notable opportunities to address core sociological questions. These innovative methods, are actively expanding and re-shaping sociological enquiry. This research group studies innovation, environment-society interactions, crowd-sourcing, social discrimination, collective intelligence, conflict and collaboration, the sociology of machines - among other topics. We use methods such as agent-based and mathematical modelling, large-scale quantitative surveys, network analysis, machine learning, and online, field, and natural experiments.