A Response to Psychology Pathway Reform
The Psychology Board of Australia has released a public consultation proposal to overhaul the training pathway for psychologists. The key idea is to create a...
Dr Dragan Rangelov
Senior Lecturer in Psychology and Cognitive Neuroscience
Swinburne University of Technology, Melbourne
The Economic Brain Lab investigates how humans make decisions when information is uncertain, time is limited, and effort matters. We are interested in the computations that support learning, valuation, and choice in complex environments—conditions that more closely resemble real-world decision-making than idealised laboratory tasks.
Our research integrates behavioural experiments with computational models grounded in reinforcement learning and decision theory. By linking observable choices to latent cognitive processes, we aim to explain not only what decisions people make, but how and why those decisions arise.
The lab is home to a collaborative group of researchers, including undergraduate students, postgraduate students, and early‑career scientists working closely together. We value an open, supportive research environment in which ideas are discussed critically but constructively, and where students are actively involved in experimental design, analysis, and modelling.
A core principle of the lab is cumulative and reproducible science. We prioritise transparent methods, open datasets, and shared code, and collaborate widely across psychology, neuroscience, psychiatry, and economics. Through these collaborations, we seek to connect decision science to meaningful applications in mental health, policy, and everyday human behaviour.
The Psychology Board of Australia has released a public consultation proposal to overhaul the training pathway for psychologists. The key idea is to create a...
Dragan recently attended and presented at Dynamic Decision Making: Minds, Models, and Markets, a two-day workshop held on 14–15 April 2026 at the University of...
Academic research lab websites need to do a few things well: clearly communicate research, remain stable over time, and be easy to update as people, projects,...