Lunch Lecture Climate Action Programme

02 February 2023 12:15 till 13:45 - Location: TU Delft Echo Arena | Add to my calendar

Flagship: Behavioral Insights for Climate Action

Date: Thursday February 2nd, 2023
Moderator: Tatiana Filatova

Click here to watch the recording
Click here to download the presentation by Carissa Champlin
Click here to download the presentation by Geeske Scholz

The speakers of this lecture:

Carissa Champlin
Assistant Professor of Participatory Design and Tenure Tracker of this Flagship
TU Delft Faculty of Industrial Design and Engineering

“Design Challenges for Participation in Climate-Resilient Citymaking”
With 60% of urban space privately owned, municipalities recognize the importance of citizen engagement in climate-resilient planning and design but lack the tools and know-how for meaningful participation in this transition. Design challenges will be introduced in this talk to feed discussions on future research collaboration within and beyond the Climate Action Programme. Challenges ranging from tool (co)creation for distributed digital participation and behavioural change to generating models for digital garden twins will be introduced through examples from recent studies.

Geeske Scholz
Assistant Professor in Environmental Psychology and Simulation and Tenure Tracker of this Flagship
TU Delft Faculty of Technology, Policy and Management

"Representing behavioural complexity in models"
Behaviour and behavioural change are crucial to climate mitigation and adaptation. This claim should not be understood as a call to individual responsibility – instead, norms, infrastructure, and institutions both shape and are shaped by human behaviour. To better understand this relationship and how interventions to mitigate climate change can achieve more impact, modelling is a powerful tool. However, the representation of human behaviour in models is mostly oversimplified, with significant consequences for model validity. This talk focuses on selecting, formalizing, and incorporating theory from the social sciences in computational models.