Blog
-
We’re Hiring! Operations Associate
About Earth Species Project Earth Species Project (ESP) is a non-profit using frontier AI to decode animal communication. We believe the exponential progress we’re seeing in AI offers new ways of looking at the world and expanding the ability of human beings to learn from other species. Our hope is that this will make a…
-
We’re Hiring! Bioacoustics Annotators
About Earth Species Project Earth Species Project (ESP) is a non-profit using frontier AI to decode animal communication. We believe the exponential progress we’re seeing in AI offers new ways of looking at the world and expanding the ability of human beings to learn from other species. Our hope is that this will make a…
-
Not All Bees Pollinate: Using Machine Learning to Predict Ecological Roles
Image credit: José Neiva Mesquita-Neto Understanding Pollination Through Ecological Function Pollination is one of the most important ecological processes on Earth, but understanding how different insects contribute to it remains surprisingly difficult. While many bee species visit flowers, they do not all transfer pollen. Distinguishing between different ecological functions has traditionally required labor-intensive field experiments…
-
Introducing alp-data: A Shared Data Layer for Animal Language Processing
We are starting to see the study of animal communication shift from narrowly defined, species-specific, and hypothesis-limited analyses toward data-driven discovery at scale. We refer to this convergence as Animal Language Processing (ALP), an approach that uses AI to study non-human communication at scale.
-
We’re Hiring! Senior Accountant
About Earth Species Project Earth Species Project (ESP) is a non-profit using frontier AI to decode animal communication. We believe the exponential progress we’re seeing in AI offers new ways of looking at the world and expanding the ability of human beings to learn from other species. Our hope is that this will make a…
-
From Frog Calls To Global Conservation: Scaling Citizen Science With AI
Image credit: Mantis Design / Adobe Stock The Growing Challenge of Biodiversity Data Citizen science projects are generating more data than ever before. Global biodiversity databases now contain millions of species observations, creating an incredible resource for ecological research. While collecting the data is not a problem, researchers still need to analyze the sounds hidden…
-
Our 2025 Annual Report: A Year of Momentum for Interspecies Understanding
Our 2025 Annual Report The past few years have seen a steady drumbeat of discoveries that illustrate the complex communications and culture of other animals, many of them accelerated by significant advances in technology. We are proud to be part of this incredible progress in understanding our fellow species. Our 2025 Annual Report highlights the…
-
From What to Who? AI Learns to Recognize Individual Animals
Image credit: Quang / Adobe Stock Individual ID in Chatty Species In the wild, zebra finches don’t sing in isolation. They move through dynamic social groups, calling and responding to one another across space and time. For ecologists, understanding this communication requires knowing who is communicating with whom, and how information flows through a group.…
-
What Can a Primate Face Tell Us? A Scalable Approach to Studying Facial Expressions
Image credit: Edwin Butter / Adobe Stock Anyone who has spent time observing primates knows how expressive their faces can be. A lip-smack, a brief glance, or a subtle shift of the mouth can signal curiosity, tension, submission, or affiliation. For ethologists, these fleeting expressions offer a rich window into the social dynamics of a…
-
Animal Language Processing: An AI Convergence In Animal Communication
We are starting to see the study of animal communication shift from narrowly defined, species-specific, and hypothesis-limited analyses toward data-driven discovery at scale. We refer to this convergence as Animal Language Processing (ALP), an approach that uses AI to study non-human communication at scale.