id ftunivnantes:oai:HAL:hal-03715315v1
record_format openpolar
spelling ftunivnantes:oai:HAL:hal-03715315v1 2023-05-15T16:41:53+02:00 Tackle Climate Change Through Art: A case study Di Bartolo, Florent Hautbois, Xavier Littératures, Savoirs et Arts (LISAA) Université Paris-Est Marne-la-Vallée (UPEM) Centre d'Histoire Culturelle des Sociétés Contemporaines (CHCSC) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Saclay London, United Kingdom 2022-07-04 https://hal.archives-ouvertes.fr/hal-03715315 https://doi.org/10.14236/ewic/EVA2022.3 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.14236/ewic/EVA2022.3 hal-03715315 https://hal.archives-ouvertes.fr/hal-03715315 doi:10.14236/ewic/EVA2022.3 EVA London 2022 https://hal.archives-ouvertes.fr/hal-03715315 EVA London 2022, Jul 2022, London, United Kingdom. pp.13-19, ⟨10.14236/ewic/EVA2022.3⟩ https://ewic.bcs.org/ Data visualisation Speculative computing Digital Art Datascape Creative visualisation Anthropocene Climate Change Visual music Destructured musical form Music [SHS.ART]Humanities and Social Sciences/Art and art history [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] [SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts info:eu-repo/semantics/conferenceObject Conference papers 2022 ftunivnantes https://doi.org/10.14236/ewic/EVA2022.3 2022-10-18T23:15:40Z International audience This paper describes the creative process behind the creation of an audiovisual installation. Titled The Great Acceleration (2021), this installation is built upon scientific data simulating the retreat of the Ross Ice Shelf from 2015 to 2100. The dataset is the result of a computer simulation based on a scientific model provided by researchers from the Laboratory for Sciences of Climate and Environment (LSCE). The paper details the methodology used to offer a sensitive experience of climate change through the analysis of a large amount of data and the creation of generative audiovisual compositions. It describes the artistic approach and how the dataset related to the Ross Ice Shelf activity has been processed in order to create visual compositions and shape sounds. The paper also explains the relationship between these images and sounds and how they react to external outputs such as the presence and movement of visitors within an exhibition space. Conference Object Ice Shelf Ross Ice Shelf Université de Nantes: HAL-UNIV-NANTES Ross Ice Shelf Electronic Workshops in Computing,
institution Open Polar
collection Université de Nantes: HAL-UNIV-NANTES
op_collection_id ftunivnantes
language English
topic Data visualisation
Speculative computing
Digital Art
Datascape
Creative visualisation
Anthropocene
Climate Change
Visual music
Destructured musical form
Music
[SHS.ART]Humanities and Social Sciences/Art and art history
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
[SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts
spellingShingle Data visualisation
Speculative computing
Digital Art
Datascape
Creative visualisation
Anthropocene
Climate Change
Visual music
Destructured musical form
Music
[SHS.ART]Humanities and Social Sciences/Art and art history
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
[SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts
Di Bartolo, Florent
Hautbois, Xavier
Tackle Climate Change Through Art: A case study
topic_facet Data visualisation
Speculative computing
Digital Art
Datascape
Creative visualisation
Anthropocene
Climate Change
Visual music
Destructured musical form
Music
[SHS.ART]Humanities and Social Sciences/Art and art history
[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
[SHS.MUSIQ]Humanities and Social Sciences/Musicology and performing arts
description International audience This paper describes the creative process behind the creation of an audiovisual installation. Titled The Great Acceleration (2021), this installation is built upon scientific data simulating the retreat of the Ross Ice Shelf from 2015 to 2100. The dataset is the result of a computer simulation based on a scientific model provided by researchers from the Laboratory for Sciences of Climate and Environment (LSCE). The paper details the methodology used to offer a sensitive experience of climate change through the analysis of a large amount of data and the creation of generative audiovisual compositions. It describes the artistic approach and how the dataset related to the Ross Ice Shelf activity has been processed in order to create visual compositions and shape sounds. The paper also explains the relationship between these images and sounds and how they react to external outputs such as the presence and movement of visitors within an exhibition space.
author2 Littératures, Savoirs et Arts (LISAA)
Université Paris-Est Marne-la-Vallée (UPEM)
Centre d'Histoire Culturelle des Sociétés Contemporaines (CHCSC)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Paris-Saclay
format Conference Object
author Di Bartolo, Florent
Hautbois, Xavier
author_facet Di Bartolo, Florent
Hautbois, Xavier
author_sort Di Bartolo, Florent
title Tackle Climate Change Through Art: A case study
title_short Tackle Climate Change Through Art: A case study
title_full Tackle Climate Change Through Art: A case study
title_fullStr Tackle Climate Change Through Art: A case study
title_full_unstemmed Tackle Climate Change Through Art: A case study
title_sort tackle climate change through art: a case study
publisher HAL CCSD
publishDate 2022
url https://hal.archives-ouvertes.fr/hal-03715315
https://doi.org/10.14236/ewic/EVA2022.3
op_coverage London, United Kingdom
geographic Ross Ice Shelf
geographic_facet Ross Ice Shelf
genre Ice Shelf
Ross Ice Shelf
genre_facet Ice Shelf
Ross Ice Shelf
op_source EVA London 2022
https://hal.archives-ouvertes.fr/hal-03715315
EVA London 2022, Jul 2022, London, United Kingdom. pp.13-19, ⟨10.14236/ewic/EVA2022.3⟩
https://ewic.bcs.org/
op_relation info:eu-repo/semantics/altIdentifier/doi/10.14236/ewic/EVA2022.3
hal-03715315
https://hal.archives-ouvertes.fr/hal-03715315
doi:10.14236/ewic/EVA2022.3
op_doi https://doi.org/10.14236/ewic/EVA2022.3
container_title Electronic Workshops in Computing,
_version_ 1766032346161610752