Computational Social Science Lab

Competences

1. Design and analysis of social science studies
2. Data science
• Applied statistics and data analysis
• Network analysis
• Predictive modelling
• Development of data-based tools and applications (R, Shiny)
3. Computational Social Science
   • Mathematical modeling of social phenomena
   • Computational modelling (e.g. agent-based)

Research

1. Quantitative analysis of social structures and processes, e.g.:
• Competition and collaboration in science
• Quantitative empirical studies of law and judicial system.
• Diffusion of innovation in social networks and society.
• Social and psychological determinants and consequences of the use of information and communication technologies.
• Structural determinants of communication and news consumption in online social networks. Behavioural profiling.
• Organizational Network Analysis
2. Social Network Analysis
3. Deriving evidence-based and data-driven solutions.