EVE: An Open-Source Earth Science LLM for Researchers, Policymakers, and the Public

Webinar Speakers:

Àlex R. Atrio, Jino Rohit, Antonio Lopez, Nicolas Longépé

Affiliation:

Pi School, Phi Lab – European Space Agency (ESA)

  • 12 March 2026
  • 3:00 PM UTC
  • Sponsored by GRSS
  • ESI - TC Webinar
Register here

About the Webinar

EVE (Earth Virtual Expert) is an open-source domain-specific large language model designed to democratize access to Earth Observation (EO) and Earth Science (ES) knowledge. Backed by the European Space Agency and developed by Pi School, Imperative Space, and Mistral, EVE bridges AI and EO through domain-adaptive pre-training, instruction tuning, and Retrieval-Augmented Generation. It supports multiple user groups: from scientists and students to journalists and decision-makers, by enabling factual, source-grounded, and explainable interactions with EO content. This talk outlines EVE’s training pipeline, data compliance approach, performance benchmarks, and open-source contributions, including models, datasets, and legal compliance guides. We’ll also share lessons from human evaluations, infrastructure challenges, and our roadmap toward an EO digital assistant.

 

About the Speakers

Àlex Atrio is a Senior Deep Learning Scientist at Pi School leading EVE, an open-source LLM for Earth Observation with ESA Φ-lab, as well as working on automatic subtitling projects. He holds a PhD in NLP/Machine Translation from EPFL & HEIG-VD, and has a background on Cognitive Science (UPF) and Philosophy (UB), with work across neural, hybrid, and rule-based language generation.

 

 

 

 

Jino Rohit is a Deep Learning Scientist at Pi School. He holds a bachelors in Computer Science and works on the intersection of ML systems and performance optimization.

 

 

 

 

 

Antonio Lopez is a passionate developer interested in Computer Vision and NLP. He holds a master’s in AI and is working as a Deep Learning Scientist on the EVE project, an open-source LLM for Earth Observation and Earth Sciences, in collaboration with the European Space Agency’s Φ-lab.

 

 

 

 

 

Nicolas Longépé received the M.Eng. degree in electronics and communication systems and the M.Sc. degree in electronics from the National Institute for the Applied Sciences, Rennes, France, in 2005, and the Ph.D. degree in signal processing and telecommunication from the University of Rennes I, Rennes, in 2008.  From 2007 to 2010, he was with the Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan. From 2010 to 2020, he was a Research Engineer with the Space Observation Division, Collecte Localization Satellites, Plouzané, France. Since 2020, he has been an Earth observation data Scientist, Phi-Lab Explore Office, European Space Research Institute, European Space Agency, Frascati, Italy. He has been working on the development of innovative EO-based applications for environmental and natural resource management (ocean, mangrove, land and forest cover, soil moisture, snow cover, and permafrost) and maritime security (oil spills, sea ice, icebergs, and ship detection/tracking). At the Phi-Lab, he is particularly involved in the development of innovative Earth observation missions in which artificial intelligence is directly deployed at the edge (on the spacecraft). His research interests include Earth observation, remote sensing, and digital technologies such as machine (deep) learning.

Register here
Days
Hours
Minutes
Seconds

Looking for an older Event? See our Past Events. Events prior to April 2024 can be found in our Events Archive.