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: 10.4121/14992029

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

Dataset

• Other Energy
• Other Technology

Energy, Probabilistic topic models, Technology, Value change, Value sensitive design

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Tristan de Wildt , Ibo van de Poel , Emile J.L. Chappin

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

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

4TU.ResearchData

rar, csv, py

Tracing long-term value change in (energy) technologies - Opportunities of probabilistic topic models using large datasets

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

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