A four-day symposium of talks, interactive sessions, and social activities.

 ABOUT EDS

EDS 2026

The ELLIS Doctoral Symposium (EDS) 2026 will focus on the theme of "Trustworthy AI." This prestigious event brings together PhD students, researchers, and experts from across Europe to explore the latest advancements in artificial intelligence. The symposium provides a platform for young researchers to present their work, exchange ideas, and engage in discussions on the future of AI, particularly in creating future AI systems that are reliable, safe, and adaptable. Through a series of talks, panels, poster sessions, and networking opportunities, EDS 2026 will promote collaboration and innovation in the field of AI, helping to shape the next generation of AI researchers. 

ELLIS

The European Laboratory for Learning and Intelligent Systems (ELLIS) is a pan-European initiative promoting excellence in artificial intelligence research with a focus on machine learning. Bringing together top scientists from academia and industry, ELLIS fosters collaboration across Europe to advance AI that is innovative, human-centered, and socially responsible. The network supports cutting-edge research, talent development, and knowledge transfer through its fellowships, research programs, and interdisciplinary initiatives. With multiple research units across Europe, ELLIS strengthens Europe's position in global AI development. By bridging fundamental research with real-world applications, ELLIS contributes to shaping the future of trustworthy and impactful AI.

ELLIS Unit Lisbon

ELLIS Unit Lisbon is a research unit located at the Instituto Superior Técnico - University of Lisbon, Portugal. Established in 2020, its mission is to become the leading artificial intelligence (AI) and machine learning (ML) research unit in Portugal, establish strong links with Europe, and boost collaborative research and training in the field through participation in events, joint activities, and mobility programs. With a focus on Human-Interacting Responsible AI, research within the Unit aims to develop robust, open, explainable, trustworthy, and efficient AI.  

KEYNOTE SPEAKERS

Participating institutions