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Research
Top researchers gather for neuroeconomics conference at SFU Vancouver
This past weekend, top researchers from the fields of economics, psychology, and neuroscience gathered in Vancouver for the Department of Economics' first in-person conference since the start of the pandemic two years ago.
Organized by professor Arthur Robson, the Neuroeconomics and the Biological Basis of Economics conference featured presentations by 16 researchers from various prestigious institutions around the world.
A relatively new interdisciplinary field, neuroeconomics incorporates research from neuroscience, psychology, and economics. While Robson's expertise lies in evolutionary economics, he has been drawn to this burgeoning field in recent years and describes it as looking at neuroscience from an economics perspective, "Neuroeconomics is a simple model of examining how people make decisions around economic choices such as gambling, investing, and spending."
Insights from this field have the potential to further improve current economic models as it helps us understand aspects of human behavior that do not conform to traditional models, enabling economists to make more accurate predictions of economic decision-making.
Harvard University's assistant professor of neurobiology Jan Drugowitsch presented on Predicting Visual Fixations from Attention-Modulated Normative Decision-Making.
Associate professor Cendri Hutcherson from the University of Toronto presented on Choosing, Fast and Slow: Implications of a Prioritized Sampling Model for Choice Under Time Pressure
Robson together with graduate students Amin Behrad (left) and Yuqi Feng (right) who volunteered to assist the conference.
Presenter List
- Agnieszka Tymula
University of Sydney
Behavioural and Neural Evidence on Probability and Value Coding in Monkeys and Humans - Cary Frydman
USC Marshall
Cognitive Imprecision: Evidence from Games and Risky Choice - Cendri Hutcherson
University of Toronto, Psychology
Choosing, Fast and Slow: Implications of a Prioritized Sampling Model for Choice Under Time Pressure - Erol Akçay
University of Pennsylvania, Biology
Conditional Norm Following and Social and Epidemiological Dynamics - Jakub Steiner
CERGE-EI and the University of Zurich
Consumer Theory in the Dark - Jan Drugowitsch
Harvard University, Neuroscience
Predicting Visual Fixations from Attention-Modulated Normative Decision-Making - Kenway Louie
New York University, Neural Science
Asymmetric and Adaptive Reward Coding via Normalized Reinforcement Learning - Larry Samuelson
Yale University
The Evolution of Risk Attitudes with Fertility Thresholds - Nick Netzer
University of Zurich
Endogenous Risk Attitudes - Nick Robalino
Rochester Institute of Technology (RIT)
Adaptive Cardinal Utility - Paul Glimcher
New York University, Psychology and Economics
Theoretical and Empirical Allocation of Stochasticity in Noisy Choice Systems - Philipp Sadowski
Duke University
An Evolutionary Perspective on Updating Risk and Ambiguity Preferences - Rafael Polania
ETH Zurich, Neuroscience
Rational Sensing: From Insects to Rodents to Humans to Machines - Ryan Oprea
University of California, Santa Barbara (UCSB)
Evolution as a Source of Behavioural Hypotheses in Economics: The Case of Aggregate Risk - Ryan Webb
University of Toronto, Rotman
A Neuro-Autopilot Theory of Habit: Evidence from Canned Tuna - Yuval Heller
Bar Ilan University
Evolutionary Foundation for Heterogeneity in Risk Aversion