Michael Harre

Dr. Michael Harre is a Senior Lecturer at the University of Sydney with appointments in the Modelling and Simulation Group and Centre for AI Trust and Governance. His work bridges artificial intelligence, economics, and psychology to model collective human behavior and develop socially aware AI systems.

• PhD in economic game theory (University of Sydney, 2009)
• MSc (First Class Honours, University of Auckland)

Research focuses on socially adaptive AI, economic game theory, and criticality in complex systems. Key projects include modeling financial market crashes, simulating herding behavior in housing markets, and exploring the intersection of AI with social psychology and economics.

Recent publications address topological analysis of economic games, criticality detection in time-series data, and inverse reinforcement learning for Theory of Mind in AI. Grants include ARC Discovery Projects and US Air Force AOARD funding for interdisciplinary research.

• Supervises PhD students: Cathie DRYSDALE and Patrick SWEENEY
• Develops curricula for complex systems education

Media engagements cover AI ethics, housing market risks, and social network dynamics in mental health.