Publication: Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead
Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead
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Muccione, V., Vaghefi, S. A., Bingler, J., Allen, S. K., Kraus, M., Gostlow, G., Wekhof, T., Colesanti-Senni, C., Stammbach, D., Ni, J., Schimanski, T., Yu, T., Wang, Q., Huggel, C., Luterbacher, J., Biesbroek, R., & Leippold, M. (2024). Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead. Regional Environmental Change, 24, 121. https://doi.org/10.1007/s10113-024-02283-8
Abstract
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Abstract
With new cycles of global environmental assessments (GEAs) recently starting, including GEO-7 and IPCC AR7, there is increasing need for artificial intelligence (AI) to support in synthesising the rapidly growing body of evidence for authors and users of these assessments. In this article, we explore recent advances in AI and connect them to the different stages of GEAs showing how some processes can be automatised and streamlined. The meticulous and labour-intensive nature of GEAs serves as both a valuable strength and a challenge to
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- Vaghefi, Saeid Ashraf
- Bingler, Julia
- Allen, Simon K
- Kraus, Mathias
- Gostlow, Glen
- Wekhof, Tobias
- Colesanti-Senni, Chiara
- Stammbach, Dominik
- Ni, Jingwei
- Schimanski, Tobias
- Yu, Tingyu
- Wang, Qian
- Huggel, Christian
- Luterbacher, Juerg
- Biesbroek, Robbert
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Muccione, V., Vaghefi, S. A., Bingler, J., Allen, S. K., Kraus, M., Gostlow, G., Wekhof, T., Colesanti-Senni, C., Stammbach, D., Ni, J., Schimanski, T., Yu, T., Wang, Q., Huggel, C., Luterbacher, J., Biesbroek, R., & Leippold, M. (2024). Integrating artificial intelligence with expert knowledge in global environmental assessments: opportunities, challenges and the way ahead. Regional Environmental Change, 24, 121. https://doi.org/10.1007/s10113-024-02283-8
