The data imaginaries of climate art: the manifest data project

• Published in: Leonardo
• Main Authors: Corby, T., Baily, G., Mackenzie, J., Lane, G., Dickson, E., Sime, L., Roussos, George
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: MIT Press 2022
• Subjects: Computer Science and Information Systems; Southern Ocean
• Online Access: https://eprints.bbk.ac.uk/id/eprint/47082/; https://doi.org/10.1162/leon_a_02136

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.”