Séminaire du LAPPS : Making sense of biases in judgment and decision-making: Leveraging change towards open-science to gain new insights regarding classic findings"

Making sense of biases in judgment and decision-making: Leveraging change towards open-science to gain new insights regarding classic findings":

"Reproducibility and replicability are at heart of science, yet increasing evidence from recent years suggests that many of the findings in psychological science are irreproducible and non-replicable in what some termed as a "replication crisis" and a new movement calling for significant changes in the way we do science. Is there a crisis? Should this affect our research agenda? If so – how?

In this talk I will discuss my own journey in the last two years to shift the focus of my research to judgment and decision-making and endorse open-science practices and agenda, aiming to increase trustworthiness and reliability of my research. I will cover some of my latest projects on biases and heuristics, involving mass pre-registered replications, several pre-registered meta-analyses, and projects that aim to map, differentiate, and integrate seemingly separate or unrelated biases, mainly in the domains of the action-effect (Kahneman & Tversky, 1982) and norm theory (Kahneman & Miller, 1986). Put together, I hope these will serve as building blocks in reaching an overarching map and a deeper understanding of the (boundedly) irrational mind regarding action, agency, and norms.

Biosketch:

Gilad is an assistant professor with the psychology department at the University of Hong Kong. Gilad's work is in the areas of social-cognitive psychology and behavioral decision-making. Research focuses on the topics of biases and heuristics regarding agency and action, lay-beliefs, unethical behavior and morality, and personal values. In recent years, with the emergence of the so-called "replication crisis", Gilad has taken a special interest in the movement for advancing psychological science by giving workshops and seminars and guiding researchers and students about open-science, statistical tools and simulations using open-source software (R), meta-analyses, pre-registrations, replications, and reproducibility.

More details on Gilad can be found at http://mgto.org/