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https://doi.org/10.5281/zenodo...
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Data sources: Sygma
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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FEDORA.Transcription and photos from the Intensive Creative Workshop I on Acceleration, Complexity and Interdisciplinarity

Authors: Francesca Conti; Andrea Troncoso; Elisabeta Tola;

FEDORA.Transcription and photos from the Intensive Creative Workshop I on Acceleration, Complexity and Interdisciplinarity

Abstract

The dataset contains transcription and photos from the Intensive Creative Workshop I on Acceleration, Complexity, and Interdisciplinarity realised within the FEDORA project. The workshop was held in Bologna on 9th July 2021 and involved 16 participants with diverse backgrounds: science communicators, artists, graphic designers, novelists, photographers, researchers, school teachers, and video producers. They worked in two teams on the barriers, challenges and problems associated with introducing a transdisciplinary approach in science education and also with facing the issues of complexity and futurization by using and owning new languages. The results are detailed in the deliverable D2.2: First draft of recommendations on “new languages” (Confidential Deliverable) for the design of materials; in the D2.3 Multimedia report of Intensive workshop I on acceleration, complexity and interdisciplinarity https://doi.org/10.5281/zenodo.7518940 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
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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).
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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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