Data supplementary to the paper 'Tracing Long-term Value Change in (Energy) Technologies'

DOI:10.4121/14992029.v1
The DOI displayed 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: 10.4121/14992029
Datacite citation style:
de Wildt, Tristan; Ibo van de Poel; Chappin, Emile J.L. (2022): Data supplementary to the paper 'Tracing Long-term Value Change in (Energy) Technologies'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14992029.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset and notebook corresponds to the article 'Tracing long-term value change in (energy) technologies - Opportunities of probabilistic topic models using large datasets'

History

  • 2022-01-10 first online, published, posted

Publisher

4TU.ResearchData

Format

rar, csv, py

Funding

  • ERC No 788321 ValueChange
  • Design for changing values: a theory of value change in sociotechnical systems (grant code 788321) [more info...] European Research Council

Organizations

TU Delft, Faculty of Technology, Policy and Management, Energy Transition Lab

DATA

Files (2)