Tuesday, July 28, 2026
Science

Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke University, combines citizen bird observations with artificial intelligence and the computing power of supercomputers at CSC—IT Center for Science. The international and multid...

Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence
Image: Phys.org
New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke University, combines citizen bird observations with artificial intelligence and the computing power of supercomputers at CSC—IT Center for Science. The international and multidisciplinary research team has developed the world's most accurate prediction model, capable of anticipating even small shifts in bird occurrence almost in real time.

Originally published at Phys.org

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