We study how people make wise decisions: in everyday life, across cultures, and over time. Our work sits at the intersection of Social & Cultural Psychology and Judgment & Decision Making, with computational methods and projects on human-AI interactions and AI value alignment.
We combine survey, behavioral, and computational approaches (modeling, NLP, and large-scale analyses), and we preregister studies, share analysis code, and document everything so others can replicate and extend our work.
Wise Judgment Consortium is a global, preregistered collaboration led by our lab to map the building blocks of wise judgment across cultures.
- 15 labs · 5 continents · ~3,500+ participants so far.
- Latest update: Preregistration and Study 1 data collection (“Life’s most difficult decisions”) complete; analyses and design of data collection underway.
- Next: data lock 2025-Q4, then analysis and write-up.
News
Postdoctoral Research Fellowship in AI Metacognition and Reasoning
How can advanced AI systems better recognize when their reasoning may be wrong, their confidence is unwarranted, or further reflection is needed?
The Wisdom & Culture Lab at the University of Waterloo, directed by Professor Igor Grossmann, is seeking a postdoctoral fellow for a new interdisciplinary research program on metacognition in advanced AI systems.
Postdoctoral Fellow in Human-AI Systems for Expert Judgment
When does combining human expertise with AI improve judgment, and when does the interaction introduce new errors? The Wisdom & Culture Lab at the University of Waterloo is seeking a postdoctoral fellow for a new interdisciplinary research program on human-AI systems for expert judgment and forecasting.
Research Project Manager: AI, Judgment, and Forecasting
We are looking for a Project Manager who can turn scientific plans into coordinated, functioning research. This is a hands-on research role, rather than a primarily administrative position. The Project Manager will provide the operational backbone across both programs, working closely with the PI, postdoctoral fellows, technical personnel, students, research assistants, and external collaborators.