
This dataset contains English-language output from a policy sprint on the question "How does artificial intelligence contribute to sustainability in Switzerland?" by the Swiss organization Expedition Zukunft, documented at https://www.expeditionzukunft.ch/sprint-ki. The information included in this dataset was made publicly available by the organization at https://www.expeditionzukunft.ch/sprint-ki. This dataset is simply a transfer of this information on the output of the policy sprint in tabular form, for ease of consumption and analysis. sprint_outputs.csv contains the raw textual data from the website on the outputs of the policy sprint process.metadata.csv contains an explanation of all columns in sprint_outputs.csv. The dataset accompanies an analysis of the policy sprint published in (preprint) form at https://doi.org/10.31235/osf.io/xykej.When citing this dataset, please credit the organisation Expedition Zukunft (https://www.expeditionzukunft.ch) as the creators and curators of the original raw data source.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
