AI + Environment Summit
Wed. September 30th, 2026
A full-day summit to inspire, ignite and innovate work in AI for the environment
The AI + Environment Summit brings together researchers, industry leaders, and policymakers to explore how artificial intelligence can drive positive environmental change. From cutting-edge research to real-world applications, the summit offers inspiring talks, panel discussions, and networking opportunities. Don’t miss the chance to be part of the conversation shaping the future of AI for a sustainable planet!
TBD
Speakers
TBD
Workshops
TBD
Posters
TBD
In-person participants
Event Schedule
8:30
Arrival & Welcome coffee
9:15
Introduction by the Organizing Committee
9:30
Keynote (TBD)
10:15
Keynote (TBD)
11:00
Coffee break
11:30
Parallel Sessions (TBD)
12:30
Lunch
14:00
Keynote (TBD)
15:00
Coffee break
15:30
Poster session & startup booths
17:00
Apero
Impressions from the 2025 summit
You can find recordings of most talks on Youtube! The links are available in the session descriptions above, next to the speakers’ name.
Also take a look at the 2024 edition!
Registration
Registrations will be up soon. You can subscribe to our newsletter to be the first informed about the 2026 AI+Environment Summit!
Venue — Innovation Park Zürich
Innovationspark Zürich
Wangenstrasse 68
8600 Duebendorf
Contact
If you would like to receive information about the AI + Environment Summit 2026, you can register using the form below. Do not hesitate to contact us at contact@aiesummit.com for any questions.
Organizers

Ghjulia Sialelli
PhD fellow at ETH AI Center

Samantha Biegel
PhD fellow at ETH AI Center

Sarah Tariq
Masters student at UZH

Emilia Arens
PhD Ecovision Lab at UZH

Robin Zbinden
PhD student at EPFL

Dr. Billur Bektaş
Postdoctoral Researcher at ETH Plant Ecology Group

Dr. Fanny Lehmann
Postdoctoral fellow at ETH AI Center

Johannes Dollinger
PhD Ecovision Lab at UZH
Advisory Board

Dr. David Dao
Chief Scientist at GainForest.Earth

Letizia Turri
Chief of Staff at ETH AI Center
Virtual summit

Protik Pranto
PhD Student, Computer Science, Arizona State University


























