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Iván Villaverde Canosa

University of Leeds - Priestley International Centre for Climate

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Climate Change Adaptation Policy Across Scales: A Machine Learning Evidence Map

Number of pages: 48 Posted: 09 Jan 2023
Anne J. Sietsma, Emily Theokritoff, Robbert Biesbroek, Iván Villaverde Canosa, Adelle Thomas, Max Callaghan, Jan Minx and James D. Ford
University of Leeds - Priestley International Centre for Climate, Climate Analytics, Wageningen University and Research (WUR) - Public Administration and Policy Group, University of Leeds - Priestley International Centre for Climate, University of the Bahamas - Climate Change Adaptation and Resilience Research Centre, Mercator Research Institute on Global Commons and Climate Change (MCC), Mercator Research Institute on Global Commons and Climate Change (MCC) and University of Leeds - Priestley International Centre for Climate
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Climate change, adaptation policy, Natural Language Processing (NLP), climateBERT, supervised machine learning, topic modelling, unsupervised machine learning, Big Data, evidence synthesis, Paris Agreement