Contriving

Machine learning helps the environmental sciences make sense of the vast troves of data modern technology has helped them generate.

How much data?

One example given is that, through an app called eBird, people have submitted 300 million observations of bird activity.

Combining the data gathered from eBird with the lab’s own observational data and information about species distribution gathered from remote sensing networks, the institute’s models use machine learning to predict where there will be changes in habitat for certain species and the paths along which birds will move during migration.