Detailed Schedule

Session 1 (9:00-10:30)

Monday-Thursday (Long Courses)	Friday (Short Tutorials)	Room 📍
Trustworthy AI 🌱 by Indrė Žliobaitė	Towards Improving AI System Transparency 🚀 by Marta Sabou, Laura Waltersdorfer	EI 2 Pichelmayer
Introduction to Constraint Satisfaction 🌱 by Roman Barták	Neurosymbolic Visual Commonsense 🚀 by Jakob Suchan, Mehul Bhatt	EI 5 Hochenegg
Multi-Perspective Reasoning in Knowledge Representation: An Introduction to Standpoint Logic 🌱 by Lucía Gómez Álvarez, Timothy Lyon, Hannes Strass	Deep Logics as a Foundation for Neurosymbolic AI 🚀 by Luc De Raedt	EI 8 Pötzl
Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice 🌱 by Qing Qu, Sam Buchanan, Yi Ma, Zhihui Zhu		EI 9 Hlawka
Uncertainty in Machine Learning: From Aleatoric to Epistemic 🧠 by Willem Waegeman, Eyke Huellermeier		EI 10 Fritz Paschke
Logic meets Learning 🌱 by Vaishak Belle		EI 11 Geodäsie

Coffee Break (10:30-11:00)

Session 2 (11:00-12:30)

Monday (Short Tutorials)	Tuesday-Friday (Long Courses)	Room 📍
Preference Aggregation Reinforcement Learning from Human Feedback 🚀 by Edith Elkind	Knowledge Compilation: Theory, Practice, and Applications 🌱 by Johannes Fichte, Jean-Marie Lagniez	EI 2 Pichelmayer
Neurosymbolic AI: Solvers and LLMs 🚀 by Stefan Szeider	The Art of Compressing LLMs: Pruning, Distillation, and Quantization Demystified 🧠 by Liana Mikaelyan, Lavinia Ghita, Harshita Seth, Sergio Perez	EI 5 Hochenegg
Mental Health Workshop 💚 by TBA	Recurrent GNNs: The Power of Iteration 🌱 by Jonni Virtema, Floris Geerts	EI 8 Pötzl
	AI for Autonomous Robots: Bridging Theory and Practice 🌱 by Timothy Wiley	EI 9 Hlawka
	Wikidata: A backbone for Hybrid/Bilateral AI 🌱 by Axel Polleres, Diego Rincon-Yanez	EI 10 Fritz Paschke
	Beyond Breakpoints: AI for Software Fault Localization 🌱 by Birgit Hofer, Franz Wotawa	EI 11 Geodäsie

Lunch Break (12:30-14:00)

Session 3 (14:00-15:30)

Monday–Friday, excluding Thursday    (Long Courses)	Room 📍
Why Is Symbolic Reasoning Computationally Hard? 🌱 by Andreas Pieris	EI 2 Pichelmayer
Data Driven Approaches in (Multi-objective) Bayesian Optimisation 🌱 by Tinkle Chugh	EI 5 Hochenegg
Trustworthy Machine Learning from Data to Models 🌱 by Bo Han	EI 8 Pötzl
Reward and Constraint Learning: Foundations for Human-AI Alignment 🧠 by Sebastian Tschiatschek	EI 9 Hlawka
Foundations of Concept-Based Interpretable Deep Learning 🧠 by Giuseppe Marra, Pietro Barbiero	EI 10 Fritz Paschke
Recommender Systems: Past, Present, and Future (Challenges) 🌱 by Markus Reiter-Haas, Elisabeth Lex	EI 11 Geodäsie

Coffee Break (15:30-16:00)

Session 4 (16:00-17:30)

Monday–Friday, excluding Thursday    (Long Courses)	Room 📍
AI for Fair and Transparent Decision-Making from Legal and Technical Perspectives 🌱 by Maria Flórez Rojas, Matias Valdenegro	EI 2 Pichelmayer
Modern Constraint Programming 🧠 by Emir Demirović	EI 5 Hochenegg
Decision trees: from efficient prediction to responsible AI 🌱 by Hendrik Blockeel	EI 8 Pötzl
Reinforcement Learning with Declarative Specifications 🧠 by Natasha Alechina, Brian Logan	EI 9 Hlawka
Tractable Circuits: A Common Language for Logic, Probability, and Neural Models 🌱 by Robert Peharz, Adrián Javaloy	EI 10 Fritz Paschke
From In-Context Learning to Neuro-Symbolic Reasoning with Large Reasoning Models 🧠 by Zied Bouraoui, Tanmoy Mukherjee	EI 11 Geodäsie

Further Events

Monday	Tuesday	Wednesday	Thursday
19:00-22:00 Reception City Hall (Rathaus) 🎉	18:00-19:30 Keynote Talk 🎙 Learning with Logic: Neuro-Symbolic AI for Transparent and Robust Decision-Making Alessandra Russo (Imperial College London) In cooperation with Digital Humanism Summer School 2026	18:30-20:00 Keynote Talk 🎙 On the chasm between “AI for” and “AI with” people Sennay Ghebreab (University of Amsterdam) + Panel Discussion In cooperation with Digital Humanism Summer School 2026	13:45 - 15:15 (Short Tutorials) AI Unboxed: Music & Law 🚀 by Heather Kurzbauer TUTORIAL (TBA) 🚀 by Robert Peharz An Introduction to Geometric Ontology Embeddings 🚀 by Mena Leemhuis
			15:15-16:30 Transfer to WU 🧭
			16:30-18:00 Keynote Talk 🎙 The Limitations of Data, ML and us Ricardo Baeza-Yates (Northeastern University) In cooperation with Digital Humanism Summer School 2026
			18:00-20:00 Networking Event 🤝