Seeing a chance to help the cause, some of the biggest names in AI and machine learning—a discipline within the field—recently published a paper called “Tackling Climate Change with Machine Learning.” The paper, which was discussed at a workshop during a major AI conference in June, was a “call to arms” to bring researchers together, said David Rolnick, a University of Pennsylvania postdoctoral fellow and one of the authors.

“It's surprising how many problems machine learning can meaningfully contribute to,” says Rolnick, who also helped organize the June workshop.

The paper offers up 13 areas where machine learning can be deployed, including energy production, CO₂ removal, education, solar geoengineering, and finance. Within these fields, the possibilities include more energy-efficient buildings,