Ganna is interested in analysing individual and group decision making under risk and uncertainty (ambiguity) using laboratory experiments, field experiments as well as non-experimental data. She studies how decision makers reveal their preferences, learn, coordinate and make trade-offs in static and dynamic risk and uncertain (ambiguous) environments with policy applications to leadership, innovation, finance and healthcare. Ganna’s work aims to develop quantitative models capable of describing and predicting individual and group behaviour in static and dynamic situations in the face of risk and uncertainty (ambiguity). She is particularly interested in investigating the impact of imprecision and noise on decision making. Profile site