The Data Imaginaries of Climate Art: The Manifest Data Project
We 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 we explore how climate models can be employed to develop data driven imaginaries of climate change, its impacts and cau...
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MIT Press
2021
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Online Access: | http://nora.nerc.ac.uk/id/eprint/530890/ https://direct.mit.edu/leon/article/doi/10.1162/leon_a_02136/106889/The-Data-Imaginaries-of-Climate-Art-The-Manifest |
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ftnerc:oai:nora.nerc.ac.uk:530890 2023-05-15T18:24:59+02:00 The Data Imaginaries of Climate Art: The Manifest Data Project Corby, Tom Baily, Gavin Mackenzie, Jonathan Lane, Giles Dickson, Erin Sime, Louise Roussos, George 2021-12-06 http://nora.nerc.ac.uk/id/eprint/530890/ https://direct.mit.edu/leon/article/doi/10.1162/leon_a_02136/106889/The-Data-Imaginaries-of-Climate-Art-The-Manifest unknown MIT Press Corby, Tom; Baily, Gavin; Mackenzie, Jonathan; Lane, Giles; Dickson, Erin; Sime, Louise orcid:0000-0002-9093-7926 Roussos, George. 2021 The Data Imaginaries of Climate Art: The Manifest Data Project. Leonardo. 18-22. https://doi.org/10.1162/leon_a_02136 <https://doi.org/10.1162/leon_a_02136> Publication - Article NonPeerReviewed 2021 ftnerc https://doi.org/10.1162/leon_a_02136 2023-02-04T19:52:28Z We 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 we explore how climate models can be employed to develop data driven imaginaries of climate change, its impacts and causes. We 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 Natural Environment Research Council: NERC Open Research Archive Southern Ocean Leonardo 55 2 125 129 |
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Open Polar |
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Natural Environment Research Council: NERC Open Research Archive |
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description |
We 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 we explore how climate models can be employed to develop data driven imaginaries of climate change, its impacts and causes. We 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, Tom Baily, Gavin Mackenzie, Jonathan Lane, Giles Dickson, Erin Sime, Louise Roussos, George |
spellingShingle |
Corby, Tom Baily, Gavin Mackenzie, Jonathan Lane, Giles Dickson, Erin Sime, Louise Roussos, George The Data Imaginaries of Climate Art: The Manifest Data Project |
author_facet |
Corby, Tom Baily, Gavin Mackenzie, Jonathan Lane, Giles Dickson, Erin Sime, Louise Roussos, George |
author_sort |
Corby, Tom |
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 |
2021 |
url |
http://nora.nerc.ac.uk/id/eprint/530890/ https://direct.mit.edu/leon/article/doi/10.1162/leon_a_02136/106889/The-Data-Imaginaries-of-Climate-Art-The-Manifest |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
Corby, Tom; Baily, Gavin; Mackenzie, Jonathan; Lane, Giles; Dickson, Erin; Sime, Louise orcid:0000-0002-9093-7926 Roussos, George. 2021 The Data Imaginaries of Climate Art: The Manifest Data Project. Leonardo. 18-22. https://doi.org/10.1162/leon_a_02136 <https://doi.org/10.1162/leon_a_02136> |
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_ |
1766206081462173696 |