Columbia Engineering2
-
New Method Predicts Extreme Weather Events More Accurately
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.
-
A Leap Toward a Sustainable Earth: Q+A with Climate Expert Pierre Gentine
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.
-
Year in Review: Our Top Stories of 2022
A list of some of our most popular articles and videos, plus some of our favorites that you shouldn’t miss.
-
2022 Climate News You Should Know
Climate School experts weigh in on the past year’s most noteworthy events and developments within their fields.
-
Tackling Crowd Management in Subways During Pandemics
Columbia researchers are working with the MTA to develop machine learning and traffic models to optimize traffic flow during pandemics.
-
Exploring Actionable Solutions for Water Security
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.
-
Unraveling the Interconnections Between Air Pollutants and Climate Change
Getting rid of some air pollutants might aggravate global warming. Here’s how.
-
How Electric Vehicles Could Fix the Grid
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.
-
What Is Decarbonization, and How Do We Make It Happen?
To keep the planet from warming more than 1.5°C above pre-industrial levels, economies must rapidly decarbonize. What will this involve?
