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Dataset . 2023
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FEDORA. Transcription and photos from the Intensive Creative Workshop II on Futurisation

Authors: Francesca Conti; Elisabetta Tola; Andrea Troncoso;

FEDORA. Transcription and photos from the Intensive Creative Workshop II on Futurisation

Abstract

The dataset contains transcription and photos from the Intensive Creative Workshop II on Futurisation organised within the FEDORA project. The workshop was held in Bologna on the 21st and 22nd of April 2022 and involved 9 participants from 4 European countries with diverse backgrounds: science communicators, artists, graphic designers, musicians, poets, and researchers. Participants worked in three groups, and each of them received a problem to be solved based on the current situations that young students face. Each group was also given two sheets with a summary of “The Future thinking skills” and “Stimulating engagement and critical thinking around the future and the role of science in it: the characteristics of a good activity or prototype”. The results are detailed in the deliverable D2.4 Multimedia report - Intensive Creative workshop II on Futurisation (Confidential Deliverable), and they are part of the framework developed for deliverable D2.5: Framework for aligning science education with society: the search for new languages and narratives to enhance imagination and the capacity to talk about contemporary challenges: https://doi.org/10.5281/zenodo.7519100

Keywords

Transcription, creativity, workshops, design thinking, complexity, interdisciplinarity, transdisciplinarity, new languages, futurisation

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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