A new study finds that electricity market design is the key to trade-offs between more affordable energy and lower carbon emissions.

New research from Columbia climate scientists shows that the 1987 ozone treaty, designed to protect the ozone layer, has postponed the occurrence of the first ice-free Arctic by as much as 15 years.

Columbia engineers have developed a machine-learning algorithm that will aid in understanding and mitigating the impact of extreme weather events, which are becoming more frequent in our warming climate.

As director of the Learning the Earth with Artificial Intelligence and Physics (LEAP) Center, Pierre Gentine is aiming to bring greater precision to climate modeling and innovative solutions to the climate crisis.

A list of some of our most popular articles and videos, plus some of our favorites that you shouldn’t miss.

Climate School experts weigh in on the past year’s most noteworthy events and developments within their fields.

Columbia researchers are working with the MTA to develop machine learning and traffic models to optimize traffic flow during pandemics.

America’s water systems face many challenges, including climate change and aging infrastructure. An upcoming event will focus on ways to solve multiple problems at the same time, with the same funding.

Getting rid of some air pollutants might aggravate global warming. Here’s how.

Local governments and policymakers are anxious about the U.S. grid’s ability to withstand ever-increasing demand. Consumers could hold the key to an untapped resource.