Jason is an Assistant Professor at the Department of Digitalization. His research uses computational methods to study human behavior in the context of a digital society. This involves topics ranging from how people fundamentally reason with information and make decisions, to how the structure of online information environments influences the beliefs people form, to how online environments can be (re)designed to promote collective intelligence. Jason holds a PhD in Psychology from Birkbeck, University of London and an MSc in Organizational Psychiatry & Psychology from King’s College London.
Primary research areas
• Computational social science
• Judgment and decision-making
• Social networks
• Collective intelligence
Link to this homepage
Big Data Analytics
Big Data Management
Thesis and project topics that fall within the above research areas or use computational methods, such as:
Agent-based modelling and simulation
Analyses of digital trace data
*** Please note: I will be on leave for spring 2023 and unable to supervise students during that semester ***
Burton, J.W., Cruz, N. & Hahn, U. (2021) Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour, 5, 1629–1635 (2021).
Burton, J. W., Harris, A. J., Shah, P., & Hahn, U. (2022). Optimism where there is none: Asymmetric belief updating observed with valence-neutral life events. Cognition, 218, 104939.
Burton, J. W., Stein, M. K., & Jensen, T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220-239.