The data imaginaries of climate art: the manifest data project
The authors discuss a series of artworks produced since 2009, including The Southern Ocean Studies (2012), The Northern Polar Studies (2014) and Carbon Topographies (2020). Through this work they explore how climate models can be employed to develop data-driven imaginaries of climate change, its imp...
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MIT Press
2022
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Online Access: | https://eprints.bbk.ac.uk/id/eprint/47082/ https://doi.org/10.1162/leon_a_02136 |
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ftbirkbeckcoll:oai:eprints.bbk.ac.uk.oai2:47082 2023-05-15T18:25:01+02:00 The data imaginaries of climate art: the manifest data project Corby, T. Baily, G. Mackenzie, J. Lane, G. Dickson, E. Sime, L. Roussos, George 2022-04-01 https://eprints.bbk.ac.uk/id/eprint/47082/ https://doi.org/10.1162/leon_a_02136 unknown MIT Press Corby, T. and Baily, G. and Mackenzie, J. and Lane, G. and Dickson, E. and Sime, L. and Roussos, George (2022) The data imaginaries of climate art: the manifest data project. Leonardo 55 (2), pp. 125-129. ISSN 0024-094X. Computer Science and Information Systems Article PeerReviewed 2022 ftbirkbeckcoll https://doi.org/10.1162/leon_a_02136 2022-11-24T23:23:18Z The authors discuss a series of artworks produced since 2009, including The Southern Ocean Studies (2012), The Northern Polar Studies (2014) and Carbon Topographies (2020). Through this work they explore how climate models can be employed to develop data-driven imaginaries of climate change, its impacts and causes. They argue for the experiential potential of this information for producing differently situated ways of knowing climate, framing this through a methodological approach described as “data manifestation.” Article in Journal/Newspaper Southern Ocean BIROn - Birkbeck Institutional Research Online (Birkbeck University of London) Southern Ocean Leonardo 55 2 125 129 |
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Open Polar |
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BIROn - Birkbeck Institutional Research Online (Birkbeck University of London) |
op_collection_id |
ftbirkbeckcoll |
language |
unknown |
topic |
Computer Science and Information Systems |
spellingShingle |
Computer Science and Information Systems Corby, T. Baily, G. Mackenzie, J. Lane, G. Dickson, E. Sime, L. Roussos, George The data imaginaries of climate art: the manifest data project |
topic_facet |
Computer Science and Information Systems |
description |
The authors discuss a series of artworks produced since 2009, including The Southern Ocean Studies (2012), The Northern Polar Studies (2014) and Carbon Topographies (2020). Through this work they explore how climate models can be employed to develop data-driven imaginaries of climate change, its impacts and causes. They argue for the experiential potential of this information for producing differently situated ways of knowing climate, framing this through a methodological approach described as “data manifestation.” |
format |
Article in Journal/Newspaper |
author |
Corby, T. Baily, G. Mackenzie, J. Lane, G. Dickson, E. Sime, L. Roussos, George |
author_facet |
Corby, T. Baily, G. Mackenzie, J. Lane, G. Dickson, E. Sime, L. Roussos, George |
author_sort |
Corby, T. |
title |
The data imaginaries of climate art: the manifest data project |
title_short |
The data imaginaries of climate art: the manifest data project |
title_full |
The data imaginaries of climate art: the manifest data project |
title_fullStr |
The data imaginaries of climate art: the manifest data project |
title_full_unstemmed |
The data imaginaries of climate art: the manifest data project |
title_sort |
data imaginaries of climate art: the manifest data project |
publisher |
MIT Press |
publishDate |
2022 |
url |
https://eprints.bbk.ac.uk/id/eprint/47082/ https://doi.org/10.1162/leon_a_02136 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
Corby, T. and Baily, G. and Mackenzie, J. and Lane, G. and Dickson, E. and Sime, L. and Roussos, George (2022) The data imaginaries of climate art: the manifest data project. Leonardo 55 (2), pp. 125-129. ISSN 0024-094X. |
op_doi |
https://doi.org/10.1162/leon_a_02136 |
container_title |
Leonardo |
container_volume |
55 |
container_issue |
2 |
container_start_page |
125 |
op_container_end_page |
129 |
_version_ |
1766206150450085888 |