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Reading List

Here is a list of suggested articles to read as you start to explore ideas within AI for sustainability.

Recommended

Earth embeddings: - Earth Embeddings Towards AI-centric Representations of our Planet

Causal inference and AI: - Foundations and future directions for causal inference in ecological research - Estimating causal effects with machine learning: A guide for ecologists

Digital Twins: - Digital twins of the Earth with and for humans

LLMs for robust application in environmental sciences - New opportunities and challenges for conservation evidence synthesis from advances in natural language processing

Do you have recommended reading? Please send it to esiil@colorado.edu.

Last update: 2026-05-07