An investigation into human learning and understanding of risks from number and experience-based information design; using data, cognitive machine-learning, and Bayesian statistics....
Finding the drivers of human risk information perception and behavior in life domains such as health, food, investments, and family....
Finding the cause of risk misperception and solutions to improve risk communication through labeling, and using real-world data....
A real-world data-driven investigation using a representative sample of the Swiss population answering why and when people use digital health apps like SwissCovid, and which information was missing for behavior change....