Collaboration between artificial intelligence and Earth science communities for mutual benefit
文献类型：期刊论文
| 作者 | Chen, Min35,36,37; Qian, Zhen33,34,37; Boers, Niklas31,32,33,34; Creutzig, Felix28,29,30; Camps-Valls, Gustau27; Hubacek, Klaus26; Claramunt, Christophe25; Wilson, John P.21,22,23,24; Nativi, Stefano20; Jakeman, Anthony J.19 |
| 刊名 | NATURE GEOSCIENCE
 |
| 出版日期 | 2024-10-01 |
| 卷号 | 17期号:10页码:949-952 |
| ISSN号 | 1752-0894 |
| DOI | 10.1038/s41561-024-01550-x |
| 产权排序 | 23 |
| 英文摘要 | Artificial intelligence is rapidly being integrated into Earth science, but how Earth science may benefit artificial intelligence has been overlooked. We call for mutual balancing between the two disciplines and improving cross-disciplinary collaboration. |
| 资助项目 | National Natural Science Foundation of China[42325107] ; National Natural Science Foundation of China[41930648] ; International Research Center of Big Data for Sustainable Development Goals[CBAS2022GSP08] ; Volkswagen Foundation ; European Union[101137601] ; European Research Council (ERC)[855187] ; European Research Council (ERC)[101120237] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001335981300022 |
| 出版者 | NATURE PORTFOLIO |
| 资助机构 | National Natural Science Foundation of China ; International Research Center of Big Data for Sustainable Development Goals ; Volkswagen Foundation ; European Union ; European Research Council (ERC) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/209674]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Chen, Min; Lue, Guonian |
| 作者单位 | 1.Arizona State Univ, Sch Complex Adapt Syst, Tempe, AZ USA 2.Jiangxi Normal Univ, Key Lab Poyang Lake Wetland & Watershed Res, Minist Educ PRC, Nanchang, Jiangxi, Peoples R China 3.Univ Wisconsin Madison, Dept Geog, Madison, WI USA 4.Southeast Univ, Sch Humanities, Dept Tourism, Nanjing, Jiangsu, Peoples R China 5.Tech Univ Munich, Sch Engn & Design, Data Sci Earth Observat, Munich, Germany 6.Politecn Milan, ABC Dept, Milan, Italy 7.MIT Senseable City Lab, Cambridge, MA USA 8.Univ Cape Town, Dept Environm & Geog Sci, Rondebosch, South Africa 9.Nanjing Univ, Sch Geog & Ocean Sci, Nanjing, Jiangsu, Peoples R China 10.Univ Salzburg, Dept Geoinformat Z GIS, Salzburg, Austria |
| 推荐引用方式 GB/T 7714 | Chen, Min,Qian, Zhen,Boers, Niklas,et al. Collaboration between artificial intelligence and Earth science communities for mutual benefit[J]. NATURE GEOSCIENCE,2024,17(10):949-952. |
| APA | Chen, Min.,Qian, Zhen.,Boers, Niklas.,Creutzig, Felix.,Camps-Valls, Gustau.,...&Lue, Guonian.(2024).Collaboration between artificial intelligence and Earth science communities for mutual benefit.NATURE GEOSCIENCE,17(10),949-952. |
| MLA | Chen, Min,et al."Collaboration between artificial intelligence and Earth science communities for mutual benefit".NATURE GEOSCIENCE 17.10(2024):949-952. |
入库方式： OAI收割
来源：地理科学与资源研究所
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