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Wild Data: Showcasing AI for Ecology and the Field of Imageomics
Join us for a public showcase of student research from the year-long AI & Ecology course! Students will present the results of their projects which use AI methods to investigate ecological questions, built on data collected during a January field course in Hawaii and connected to ongoing...
Imageomics Community and Collaborators Day
The Imageomics Institute’s Community and Collaborators Day on April 17, 2025, will bring together researchers and partners to explore the next steps in this rapidly evolving field. Hosted at The Ohio State University in Columbus, OH, this event offers a unique opportunity for meaningful discussions...
AI powered ecological research is pushing boundaries in knowledge.
AI to the Rescue: How Artificial Intelligence is Helping Scientists Understand Biodiversity
Research collaboration with The Ohio State University published in Nature shows how AI is filling critical gaps in our knowledge of the natural world.
Imageomics 2025 All-hands Meeting
The Imageomics Institute’s All-Hands Meeting and NextGen Day occurring between April 16-18, 2025, plays a key role in shaping the future of the emerging field of imageomics. We welcome our collaborators and broader community to engage over the two event as your voice and expertise are essential as...
Amakihi birds
Tweet Success: AI Tunes Into Hawaiian Birdsong for Conservation
Researchers use bioacoustics and AI to analyze ‘Amakihi bird dialects and environmental adaptation.
Ohio State Professor Tanya Berger-Wolfe, pictured right, with colleagues at COP16.
Byte-ing into Biodiversity: AI Powers Conservation Conversations at COP16
Tanya Berger-Wolf and team showcase cutting-edge tech to tackle global biodiversity challenges, emphasizing the need for equity and urgent action

Images as the source of information about life

Biologists must analyze traits in order to understand the significance of patterns in the two billion-year evolutionary history of life and to predict future effects of environmental change or genetic manipulation. Images are by far the most abundant source of documentation of life on the planet—but traits of organisms cannot be readily extracted from them.

The question: How do we take hundreds of thousands of images and use them to answer fundamental biological questions about ecology and evolution? At the very least, how do we extract traits, such as the example of a bird guide?

The answer: We make traits computable. Biology meets machine learning and vice versa.

Introducing imageomics (NSF OAC-2118240)

 

News
Machine Learning Champions: The Brightest Minds Crack the Toughest Scientific Codes
SAE Research Released
Through the Looking Net: New AI Vision Models Advance Animal Trait Detection
Imageomics March Newsletter
Imageomics Newsletter, March, 2025
CVPR 2025 and Imageomics Research
Imageomics Research Heads to Top Computer Vision Conference, CVPR 2025
More News
Events
Imageomics 2025 All-hands Meeting
Imageomics Community and Collaborators Day
Wild Data: Showcasing AI for Ecology and the Field of Imageomics
More Events