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Researcher Awarded $100,000 for AI Decoding of Zebra Finch Calls

June 27, 2026 at 00:07 EDT

Research & Papers
Healthcare

Dr. Julie Elie of the University of California, Berkeley has been awarded the 2026 Coller-Dolittle Prize and its $100,000 purse for using machine learning to decode the calls of the zebra finch. The award was formally announced around June 25, 2026, and reported by outlets including The Guardian.

June 2026 · Coller-Dolittle Prize

Decoding birdsong: scientist wins $100,000 for cracking the Zebra Finch's vocabulary

UC Berkeley's Dr. Julie Elie used machine learning to classify thousands of finch calls into 11 core "words" — then let the birds themselves confirm the meanings were right.

core calls identified, each conveying "who is doing what"

$100K

annual prize awarded to Elie

15+

years studying Zebra Finch vocalizations

$10M

grand prize for true two-way communication

2026 finalists — beyond the finch

Four animals competed; the Zebra Finch won for the rigor of its meaning verification.

Zebra Finch

11 core calls and their meanings, confirmed by the birds

WINNER

African striped mouse

Ultrasonic squeaks

Bonobo

Call sequences resembling human sentences

Chimpanzee

Analysis of hoo / yelp calls

From recording → understanding meaning

The clever step that set the work apart: the birds themselves verified the classifications.

Field & lab
recordings

→

ML classifies
11 core calls

→

Birds confirm via
reward button test

A "key moment"

Judges praised the work as a model of moving from merely recording calls to verifying their meaning — building a real dictionary of "core words."

Still far off

Pure academic research, no product. It has not reached true two-way conversation; some hold that the goal remains distant.

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