Artificial intelligence in urban science: why does it matter?
Urban science aims to explain, discover, understand, and generalize (EDUG) complex, human-centric systems, emphasizing societal context and sustainability. However, integrating artificial intelligence (AI) into urban science presents challenges, including data availability, ethical considerations, a...
| Published in: | Annals of GIS |
|---|---|
| Main Authors: | Xinyue Ye, Tan Yigitcanlar, Michael Goodchild, Xiao Huang, Wenwen Li, Shih-Lung Shaw, Yanjie Fu, Wenjing Gong, Galen Newman |
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
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| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475683.2025.2469110 |
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