TY - DATA T1 - Data Underlying OD poster at ESSA in Glasgow in 2023 PY - 2024/02/15 AU - Lukas Schubotz UR - DO - 10.4121/6ca3d747-ac81-4571-be33-af1948b0dfba.v1 KW - inverse modelling KW - opinion dynamics KW - energy transition KW - agent-based modelling N2 -

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 lschubotz@tudelft.nl. 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.

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