Using machine learning to decode animal communication: New methods promise transformative insights and conservation benefits

Christian Rutz; Michael Bronstein; Aza Raskin; Sonja C. Vernes; Katherine Zacarian; Damián E. Blasi

doi:10.1126/science.adg7314

Using machine learning to decode animal communication: New methods promise transformative insights and conservation benefits

Christian Rutz^*
, Michael Bronstein
, Aza Raskin
, Sonja C. Vernes
, Katherine Zacarian
, Damián E. Blasi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

39 Scopus citations

Abstract

The past few years have seen a surge of interest in using machine learning (ML) methods for studying the behavior of nonhuman animals (hereafter "animals") (1). A topic that has attracted particular attention is the decoding of animal communication systems using deep learning and other approaches (2). Now is the time to tackle challenges concerning data availability, model validation, and research ethics, and to embrace opportunities for building collaborations across disciplines and initiatives.

Original language	English
Pages (from-to)	152-155
Number of pages	4
Journal	Science
Volume	381
Issue number	6654
DOIs	https://doi.org/10.1126/science.adg7314
State	Published - 14 Jul 2023
Externally published	Yes

Funding

Funder number
???publication-publication-funding-organisation-not-added???	101001702
???publication-publication-funding-organisation-not-added???	MR/T021985/1

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10.1126/science.adg7314

Cite this

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AU - Blasi, Damián E.

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Using machine learning to decode animal communication: New methods promise transformative insights and conservation benefits

Abstract

Funding

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