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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Bibliographic Details
Main Authors: Conner, Alden, Hosking, Scott, Lloyd, James, Achintya Rao, Shaddick, Gavin, Malvika Sharan
Format: Report
Language:English
Published: Zenodo 2023
Subjects:
climate change
data science
AI
Artificial intelligence
environment
sustainability
Arctic
Climate change
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.7712968
https://zenodo.org/record/7712968
Description
Summary: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 ...

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