Study shows how AI turns millions of citizen observations into data for ecological research
Researchers at the University of Michigan used language models to filter and classify species interactions recorded by enthusiasts on free platforms such as eBird and iNaturalist. According to the study, millions of people watch birds, photograph butterflies or log wild plants for pleasure, and the comments they leave on these platforms can feed ecological research.
In 30 seconds
- Researchers at the University of Michigan applied language models to filter and classify species interactions.
- The data comes from amateur observations on free platforms such as eBird and iNaturalist.
- Millions of people around the world record birds, butterflies and wild plants for pleasure.
IASummary generated by artificial intelligence from a story by Infobae. It may contain errors: the original source prevails.




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