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Using Artificial Intelligence To Locate Risky Dams
In the U.S., some 2,000 high hazard dams are in need of repairs. A project from the Columbia Water Center is helping to identify the most hazardous ones.
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Machine Learning May Be a Game-Changer for Climate Prediction
A new study uses machine learning to better represent clouds in climate models, which helps to predict the climate’s response to rising levels of greenhouse gases.
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Researchers Develop an Artificial Intelligence to Analyze Birdsong in a Warming Arctic
A new algorithm quickly sifts through hours of field recordings to learn how climate change influences bird migration. The A.I. could help track other wildlife as well.
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Artificial Intelligence—A Game Changer for Climate Change and the Environment
Artificial intelligence is helping us manage the impacts of climate change and protect the environment in many ways.
COP31, the 2026 United Nations Climate Change Conference, aims to advance dialogue, strengthen consensus, and accelerate climate action on a global scale. From November 9–20, 2026 in Antalya, Türkiye, heads of state, ministers, scientists, business leaders, and civil society will gather to advance efforts in emission targets, climate finance, and adaptation and resilience. Once again, our experts, students, and global thought leaders from Columbia Climate School and across Columbia University are contributing to key events, sharing insights, and helping shape the dialogue toward ambitious, science-based solutions. Learn More
