Collaboration between artificial intelligence and Earth science communities for mutual benefit
Min Chen,
Zhen Qian,
Niklas Boers,
Felix Creutzig,
Gustau Camps-Valls,
Klaus Hubacek,
Christophe Claramunt,
John P. Wilson,
Stefano Nativi,
Anthony J. Jakeman,
R. Dietmar Müller,
Michael Batty,
Chenghu Zhou,
Fahu Chen,
Qiao Wang,
Fan Zhang,
C. Michael Barton,
Josef Strobl,
Michael Meadows,
Carlo Ratti,
Philipp Hess,
Qingsong Xu,
Zhixin Zhang,
Qiushi Gu,
A-Xing Zhu,
Hui Lin,
Linwang Yuan,
Guonian Lü
October 2024
Abstract
The increasing adoption of artificial intelligence (AI) in various fields of Earth science (ES) presents opportunities for progress, but also potentially risks devaluing essential ES methods and expertise, to the potential detriment of the field. To address this issue, here we highlight the unique and irreplaceable characteristics of ES in the era of AI and discuss the mutual benefits of integrating AI with ES, as well as the challenges and opportunities of such integration. Moreover, we propose a framework to improve cross-disciplinary collaboration to address pressing challenges and facilitate future advances in both disciplines.
Publication
In Nature Geoscience
Doctoral student
I am passionate about geospatial and artificial intelligence technologies and aim to use them to solve interdisciplinary problems in the Human-Earth system domain.