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Editorial Overview: Open Issue 2023
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Stockholm University, Faculty of Law, Department of Law. Hunter College, New York, USA.ORCID iD: 0000-0002-7303-8849
Number of Authors: 32024 (English)In: Current Opinion in Environmental Sustainability, ISSN 1877-3435, E-ISSN 1877-3443, Vol. 68, article id 101452Article in journal, Editorial material (Refereed) Published
Abstract [en]

The combination of large volumes of climate and environmental data and analytical methods using machine learning has a long history in research about environmental sustainability. The last years, however, signal a rapid shift in the use of artificial intelligence (AI) for environmental sustainability research and action. AI is however only one part of more profound technological changes. In addition, as the pressure of human activities accelerates on the living planet and the climate system, so too does the hope that a wide variety of technologies that support digitalization such as sensors, advanced satellite technologies, and increased uses of AI will be able to increase societies’ capacities to detect and respond to the repercussions of a rapidly changing planet.

Place, publisher, year, edition, pages
2024. Vol. 68, article id 101452
National Category
Climate Science
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URN: urn:nbn:se:su:diva-235658DOI: 10.1016/j.cosust.2024.101452ISI: 001249715200001Scopus ID: 2-s2.0-85194170455OAI: oai:DiVA.org:su-235658DiVA, id: diva2:1913977
Available from: 2024-11-18 Created: 2024-11-18 Last updated: 2025-02-07Bibliographically approved

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Galaz, Victor

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