Using agent-based modelling to understand social phenomena

Professor Shigeaki Ogibayashi uses a novel agent-based modelling system to build a bottom-up modelling system to evaluate the causal mechanisms in social phenomena, such as bullying

Agent-based modelling (ABM) is used to understand the behaviour of a system and establish what governs its outcomes. Professor Shigeaki Ogibayashi, from the Chiba Institute of Technology, Japan, proposes that, if the agent-based model is constructed entirely bottom-up, it should be possible to build a model where the causal relationship emerging from the artificial society is the same as that […]

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Real-time societies: Maintaining control in the digital world

Contemporary 21st century societies are experiencing the rapid growth of digitisation in virtually all aspects of life.

The rapid growth of digitisation is disrupting society profoundly. To secure a worthwhile future, we need to explore new approaches to govern complex socio-technical systems. Professor Johannes Weyer and his research team at Technische Universität Dortmund in Germany have developed SimCo, a simulation framework to investigate the dynamics of socio-technical systems like transportation or energy supply. This research examines how […]

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