2022 ESA Winter School

2022 ESA Winter School

This event was supported by:

On the 18th-20th July 2022, the BEST Centre held the 2022 ESA Winter School on ‘Neuro and Behavioural Finance’ at the Mercure Resort on the Gold Coast. The BEST Centre would like to take this opportunity to thank all who attended! We hope you were able to take away some valuable insights from the experience. 

At the event, we heard a range of presentations from Prof. Peter Bossaerts covering topics such as decision neuroscience, machine learning and artificial intelligence, computational complexity and how markets can be used to resolve this complexity. We also heard presentations from our students and held a panel discussion to talk through the future research agenda for neuro and behavioural finance. 

This year’s event was attended by a fantastic group of students, academics, and industry and government practitioners hailing from QUT, UQ, Griffith University, the University of Melbourne, the University of Sydney, the QLD Department of Transport and Main Roads, the ESA (QLD Branch) and the Australian Retirement Trust. Having such a wide range of expertise in the audience allowed for a range of interesting and insightful discussions to occur, with everyone being able to provide their unique perspectives to the topics at hand. 

Finally, we would like to take this opportunity to thank Prof. Peter Bossaerts for his time and expertise. 

We can’t wait to run the Winter School again in 2023! 


Photos from the event can be found HERE.


A workshop on neuro and behavioural finance

Event Program & Important Information:

The event program for the 2022 ESA Winter School can be found HERE.

Important information for the event can also be found HERE.


The lectures below will be facilitate by Prof. Bossaerts:

  • Theory and behavioural evidence: Choice “as if” value is maximized; learning “as if” Bayesian
  • Neuroeconomics and decision neuroscience: Value neural signals, why and when we take time to choose, prediction errors signals, neural modulation of updating speed, and the role of emotions
  • Machine learning and Artificial Intelligence (AI): inspired by and inspiring neuroscience
  • The predictive brain and active inference: Putting central control of uncertainty rather than reward maximization
  • Computational complexity: a fundamentally different yet ubiquitous source of uncertainty
  • Markets as a way to resolve computational complexity


Professor Peter L. Bossaerts

Redmond Barry Distinguished Professor and Professor of Experimental Finance and Decision Neuroscience, Department of Finance, University of Melbourne
Leverhulme International Professor of Neuroeconomics, Faculty of Economics, Cambridge University

Peter Bossaerts is Redmond Barry Distinguished Professor at the University of Melbourne (till 9/22) and Leverhulme International Professor of Neuroeconomics at Cambridge University (from 10/22). He pioneered the use of controlled experimentation (with human participants) in the study of financial markets. He also pioneered the use of decision and game theory in cognitive neuroscience, thereby helping establish the novel fields of neuroeconomics, decision neuroscience and computational neuropsychiatry. Recently, he has started to use computer science to study human and market behavior when uncertainty emerges because of complexity. Bossaerts graduated with a PhD from UCLA and spent most of his career at the California Institute of Technology (Caltech). Bossaerts is elected Fellow of the Econometric Society, the Society for The Advancement of Economic Theory, and the Academy of the Social Sciences in Australia.