Shaping policy with experiments on behaviour change over time

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6 Nov 2025

16:45 -17:30

Times are shown in local time.

Open to: All

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Castle Teaching Room (Cambridge Judge Business School)

Trumpington St

Cambridge

CB2 1AG

United Kingdom

Designing behavioural interventions and policies that stick

In this first Roundtable of the new academic year, we welcome Professor Verena Tiefenbeck (Friedrich-Alexander-Universität) and Daniel Schnurr (University of Regensburg) for an engaging discussion on how knowledge on behaviour change over time can inform better policy.

Drawing on their research, we will explore:

  • real-time feedback and habit change: how making resource consumption visible and emotionally resonant, during everyday activities like showering can trigger lasting behavioural change and large reductions in energy use
  • monetary incentives and digital public goods: how financial rewards impact the adoption and use of contact-tracing apps during the COVID-19 pandemic, both in the short and in the long run

Speakers

Verena Tiefenbeck

Professor for Digital Transformation, University of Erlangen-Nuremberg

Daniel Schnurr

Professor of Machine Learning at the University of Regensburg

Research Fellow of the Centre on Regulation in Europe (CERRE)

Moderation

Dr Malte Dewies, Research Associate, El-Erian Institute

Speakers’ bios

Verena Tiefenbeck is Professor of Digital Transformation at Friedrich-Alexander-University, where she leads a research group focused on using digital technologies to drive sustainable behaviour change. Her work bridges behavioural science and information systems, with applications in energy, mobility, health, sustainability and human-AI decision-making. Her research has been published in leading scientific journals such as Management Science, Information Systems Research, Nature Energy and Energy Policy.

Daniel Schnurr is Professor of Machine Learning at the University of Regensburg and a Research Fellow of the Centre on Regulation in Europe (CERRE). His research explores the technical, economic and societal impacts of machine learning and data as drivers of innovation in digital markets. He has co-authored several policy reports and academic articles appearing in influential journals such as Management Science, Information Systems Research, The Journal of Industrial Economics and MIT Sloan Management Review.

Register

To book your seat please email: eei-info@jbs.cam.ac.uk.

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