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Researcher Wins $100,000 for AI-Decoding 11 Zebra Finch Calls

June 26, 2026 at 22:51 EDT

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Dr. Julie Elie of University of California, Berkeley has won the 2026 Coller-Dolittle Prize and its $100,000 award for using machine learning to identify 11 core "vocabulary" call types in zebra finches. The award, announced in late June 2026, recognizes more than 15 years of research.[](https://www.theguardian.com/science/2026/jun/26/human-animal-communication-step-closer-scientist-wins-prize-for-decoding-birdsong)

June 2026 · Coller-Dolittle Prize 2026

AI helps decode the meaning behind birdsong

Dr. Julie Elie wins the $100,000 prize for 15+ years of work showing that zebra finches perceive their ~11 call types as a meaningful "vocabulary" — verified by machine learning and by the birds themselves.

~11

distinct call types identified

semantic hyper-categories

15+

years of research

$100K

prize amount

From 11 calls to 6 meaning groups

The birds prioritized meaning over acoustic similarity.

call types

→

meaning groups

Contact Pair-bonding Alarm Non-affiliative Begging Courtship

How meaning was confirmed

1 · AI ANALYSIS

Machine learning maps acoustic features across vast recordings — ~60% accuracy, matching humans.

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2 · BIRD TASK

A reward-based discrimination task lets the birds themselves sort calls.

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3 · MEANING WINS

Birds confuse calls when meanings are close — evidence of a mental representation of meaning.

A milestone for interspecies communication — but two-way "talking" remains distant.

WELCOMED

Praised as "phenomenal" — AI acting as a real-world translation layer.

STILL FAR OFF

Applying it to wild birds and human-to-bird communication remains a distant goal — part of a $10M challenge targeting 2030.

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