My research explores how people learn from each other. I study what social cues do people attend to, and how they respond to them. For example, when do people copy successful others, or follow the majority? Using computational models I predict which “social learning strategies” work best in different situations, and how these strategies influence the spread of ideas, norms and behaviours in social networks. I also conduct behavioural experiments online and in science museums to test how children and adults actually learn from others. In addition to research, I teach courses in statistics, evolution and behaviour, development, and cognitive psychology.
Social learning of interdependent traits: developing computational model of how to best learn from others when knowledge and skills build on each other, that is, when learning advanced stuff requires learning the basics first.
Development of social information use: conducting large-scale experiments in science museums in The Netherlands, Germany, and Japan to map how people integrate the judgments of others across age and across cultural backgrounds.
Behavioural logic of rule following: experimentally examining when and why people follow or break rules, testing the economic and psychological motives underlying social order.