AIandGlobalDevelopmentLab/eo-poverty-review
Awesome papers on Earth Observation (EO), Machine Learning (ML), and Causal Inference (CI) [Edward Elgar Publishing]
This project helps researchers and practitioners understand why environmental and societal changes are happening, not just what's happening. It's a curated list of academic papers that use satellite imagery and other remote-sensing data with machine learning to explore cause-and-effect relationships in climate, development, and poverty. Scientists, policymakers, and development professionals can use this to find relevant research.
Use this if you need to find rigorous academic research on using Earth observation data and machine learning to understand causal links in climate change, poverty, or global development.
Not ideal if you are looking for introductory material on Earth observation or machine learning methods without a specific focus on causal inference or direct applications to climate/development issues.
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Jan 18, 2026
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