Agent-based Modelling for Simulating Social Systems

Education facts

Code: DA102E

How do political polarisation, social fads, or financial bubbles arise? How can the decisions of individuals lead to major societal change? In this course, students use agent-based social simulation (ABSS) to explore and understand complex social systems. These are characterised by individuals acting, cooperating, and competing, which can lead to unexpected outcomes.<br> By modelling human cognition and behaviour, students simulate interactions among individuals such as voters, consumers, or users in social networks and analyse how patterns emerge at the societal level.<br> The course combines theory and practice with examples from social influence, synthetic populations and demography, epidemics, economics, and social networks. Students learn how to design, implement, document, and analyse simulation models. The course is aimed at students in engineering and social sciences interested in advanced, data-driven approaches to understanding and shaping society.

Entry requirements

General entry requirements + English 6. Or: English level 2

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Agent-based Modelling for Simulating Social Systems

  Malmö University

  Flexibel (Flexible)

  Start date: 29 March 2027

  End date: 6 June 2027

  Pace of study: 50 %