TY - DATA
T1 - Data Underlying Opinion Dynamics poster at ESSA in Glasgow in 2023
PY - 2024/03/06
AU - Lukas Schubotz
UR - 
DO - 10.4121/6ca3d747-ac81-4571-be33-af1948b0dfba.v2
KW - inverse modelling
KW - opinion dynamics
KW - energy transition
KW - agent-based modelling
N2 - <p>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 <a href="mailto:lschubotz@tudelft.nl" target="_blank">lschubotz@tudelft.nl</a>. The code I've used this data for is available on the <a href="https://gitlab.tudelft.nl/lschubotz/OD-poster-ESSA-Glasgow-2023" target="_blank">TU Delft GitLab</a>. 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.</p>
ER -