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A big data approach to assess progress towards Sustainable Development Goals for cities of varying sizes

Environmental Studies and Forestry

A big data approach to assess progress towards Sustainable Development Goals for cities of varying sizes

Y. Liu, B. Huang, et al.

Discover a groundbreaking method to assess Sustainable Development Goal (SDG) progress in 254 Chinese cities using open-source big data, revealed by Yu Liu, Bo Huang, Huadong Guo, and Jianguo Liu. Their findings suggest that big data can effectively track SDG advancements, especially in smaller, data-scarce urban areas.

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