Data Underlying Opinion Dynamics poster at ESSA in Glasgow in 2023

doi: 10.4121/6ca3d747-ac81-4571-be33-af1948b0dfba.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/6ca3d747-ac81-4571-be33-af1948b0dfba
Datacite citation style:
Schubotz, Lukas (2024): Data Underlying Opinion Dynamics poster at ESSA in Glasgow in 2023. Version 2. 4TU.ResearchData. dataset.
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version 2 - 2024-03-06 (latest)
version 1 - 2024-02-15

The data are aggregated opinion averages over time of polls on a 5-point scale concerning questions about climate change and the energy transition. This is the data repository for the poster I made for the ESSA conference in Glasgow 2023. My aim with this was to get a first grip on inverse modelling and share what I have learned with the community. I'm happy to share the poster for more context and content upon request via The code I've used this data for is available on the TU Delft GitLab. I gratefully acknowledge the support of Populytics in this research project who provided the data. Here, I provide the aggregated data as it went into the model. Column 1 is the time stamp, column 2 is the value I used, the latter being the aggregated mean value of the votes during that time stamp.

  • 2024-02-15 first online
  • 2024-03-06 published, posted
TU Delft, Faculty for Technology, Policy, and Management, Energy Transition Lab


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