| Session | |
WS-T21: Agent-Based Modelling for Social Good: Concepts, Tools, and Applications
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| Session Abstract | |
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This workshop will explore the potential of agent-based modelling (ABM) to address complex social challenges. Through a combination of theoretical foundations and hands-on exercises, participants will develop practical skills in designing, implementing, and analysing ABMs across various domains of social impact. ## Morning Session (3 hours) Foundations (1.5 hours) x ABM fundamentals and integration with social network analysis x Key concepts: emergence, interaction networks, behavioural rules x Case studies: public health interventions, educational outcomes, environmental behaviour change Tools and Implementation (1.5 hours) x Introduction to NetLogo and Python's Mesa framework x Setting up simulation environments x Basic model development ## Afternoon Session (3 hours) Applications and Practice (2 hours) x Hands-on exercises with real-world scenarios x Model building in small groups x Implementation strategies and best practices Validation and Analysis (1 hour) x Model validation techniques x Results interpretation x Documentation and sharing x Resources for advanced modelling | |
| Presentations | |
Agent-Based Modelling for Social Good: Concepts, Tools, and Applications This workshop will explore the potential of agent-based modelling (ABM) to address complex social challenges. Through a combination of theoretical foundations and hands-on exercises, participants will develop practical skills in designing, implementing, and analysing ABMs across various domains of social impact. ## Morning Session (3 hours) Foundations (1.5 hours) x ABM fundamentals and integration with social network analysis x Key concepts: emergence, interaction networks, behavioural rules x Case studies: public health interventions, educational outcomes, environmental behaviour change Tools and Implementation (1.5 hours) x Introduction to NetLogo and Python's Mesa framework x Setting up simulation environments x Basic model development ## Afternoon Session (3 hours) Applications and Practice (2 hours) x Hands-on exercises with real-world scenarios x Model building in small groups x Implementation strategies and best practices Validation and Analysis (1 hour) x Model validation techniques x Results interpretation x Documentation and sharing x Resources for advanced modelling | |