Digital Technologies and Human Behavior

Digitalisation and advances in machine learning provide ever-more detailed insights into the behaviour of individuals and enable timely and tailored behavioural interventions at population level. Building upon these developments, the team’s research combines the scalability, ubiquity, and flexibility of digital technologies with insights and methods from behavioural science (especially behavioural economics and psychology). Our goal is to develop powerful, privacy-preserving, and scalable information systems that effectively support individuals in their daily decision-making processes, in particular in the energy and mobility context. To that end, we apply quantitative methods to analyse large sets of measurement data and empirically evaluate the impact of digital behavioural interventions under real-world conditions.