Tackling climate change with data science and AI ...
In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change. We describe four key research areas in which data science and AI can address the climate c...
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ftdatacite:10.5281/zenodo.7712969 2023-07-23T04:17:50+02:00 Tackling climate change with data science and AI ... Conner, Alden Hosking, Scott Lloyd, James Achintya Rao Shaddick, Gavin Malvika Sharan 2023 https://dx.doi.org/10.5281/zenodo.7712969 https://zenodo.org/record/7712969 en eng Zenodo https://zenodo.org/communities/turing-asg https://dx.doi.org/10.5281/zenodo.7712968 https://zenodo.org/communities/turing-asg Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess climate change data science AI Artificial intelligence environment sustainability Report report 2023 ftdatacite https://doi.org/10.5281/zenodo.771296910.5281/zenodo.7712968 2023-07-03T22:13:49Z In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change. We describe four key research areas in which data science and AI can address the climate crisis: Monitoring the environment. Forecasting environmental change. Simulating the human cost of climate change. Adapting to climate change. Within each of these areas, we spotlight an ASG project that has demonstrated particular success, encompassing software for automatic plankton classification, a framework for forecasting Arctic sea ice change, a model for simulating the health impacts of extreme heat, and a digital twin that is being used to optimise the world’s first underground farm. Based on our experiences with these projects, and within the broader ASG programme, we provide four recommendations for how researchers and funders can better use data science and AI to tackle climate change: Apply ... Report Arctic Climate change Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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English |
topic |
climate change data science AI Artificial intelligence environment sustainability |
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climate change data science AI Artificial intelligence environment sustainability Conner, Alden Hosking, Scott Lloyd, James Achintya Rao Shaddick, Gavin Malvika Sharan Tackling climate change with data science and AI ... |
topic_facet |
climate change data science AI Artificial intelligence environment sustainability |
description |
In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change. We describe four key research areas in which data science and AI can address the climate crisis: Monitoring the environment. Forecasting environmental change. Simulating the human cost of climate change. Adapting to climate change. Within each of these areas, we spotlight an ASG project that has demonstrated particular success, encompassing software for automatic plankton classification, a framework for forecasting Arctic sea ice change, a model for simulating the health impacts of extreme heat, and a digital twin that is being used to optimise the world’s first underground farm. Based on our experiences with these projects, and within the broader ASG programme, we provide four recommendations for how researchers and funders can better use data science and AI to tackle climate change: Apply ... |
format |
Report |
author |
Conner, Alden Hosking, Scott Lloyd, James Achintya Rao Shaddick, Gavin Malvika Sharan |
author_facet |
Conner, Alden Hosking, Scott Lloyd, James Achintya Rao Shaddick, Gavin Malvika Sharan |
author_sort |
Conner, Alden |
title |
Tackling climate change with data science and AI ... |
title_short |
Tackling climate change with data science and AI ... |
title_full |
Tackling climate change with data science and AI ... |
title_fullStr |
Tackling climate change with data science and AI ... |
title_full_unstemmed |
Tackling climate change with data science and AI ... |
title_sort |
tackling climate change with data science and ai ... |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://dx.doi.org/10.5281/zenodo.7712969 https://zenodo.org/record/7712969 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Sea ice |
genre_facet |
Arctic Climate change Sea ice |
op_relation |
https://zenodo.org/communities/turing-asg https://dx.doi.org/10.5281/zenodo.7712968 https://zenodo.org/communities/turing-asg |
op_rights |
Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5281/zenodo.771296910.5281/zenodo.7712968 |
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1772179879483146240 |