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Dresden, Germany
September 9 - 11, 2026
Saxon Switzerland Photo source © lichterderwelt.de
Welcome!
We are delighted to invite you to the First Germany–Poland–Czechia Workshop on Neurosymbolic and Trustworthy AI, taking place in the vibrant city of Dresden, Germany, from September 9–11, 2026.
This workshop brings together senior researchers from Germany, Poland, and Czechia to exchange ideas, foster collaborations, and explore recent advances in Neurosymbolic AI, Trustworthy AI, Large Language Models, Knowledge Graphs, and related fields. Through keynote talks, research presentations, panel discussions, and networking activities, the workshop aims to strengthen scientific connections across Central Europe and inspire future joint research initiatives.
We look forward to welcoming you to Dresden for two days of engaging discussions, new collaborations, and exciting scientific discoveries!
Agenda
Agenda
Day 1: September 9, 2026
From 18:00 onward
Arrival of participants
Informal welcome dinner with Prof. Michael Färber
Day 2: September 10, 2026
09:30 - 10:00 | Registration & Welcome coffee
10:00 - 11:00 | Opening session - Prof. Michael Färber
Introduction to Workshop & ScaDS.AI
Motivation: Neurosymbolic & Trustworthy AI in a Central European context
Overview of goals and expected outcomes
Research of Färber Lab
11:00 – 11:15 | Coffee Break
11:15 – 12:15 | Research Session I
Introduction of Participants / short talks (10–15 min each)
12:15 – 14:00 | Lunch Break & Networking
14:00 – 15:00 | Research Session II
Continued presentations
15:00 – 15:15 | Coffee Break
15:15 – 17:30 | Panel Discussion
Theme: Neurosymbolic AI: Challenges and Opportunities
Discussion on emerging directions in neurosymbolic AI
Potential collaborations in paper writing, research proposals, and student exchange
Identification of shared challenges and long-term research opportunities
17:30 – 18:00 | Wrap-up of Day 1
Key insights summary
Schedule overview for the evening and next day
19:00 – late | Evening Get-Together
Formal dinner / social event
Networking across institutions
Day 3: September 11, 2026
09:30 – 11:30 | Conclusion & Action Session
Consolidation of workshop insights
Identification of shared research themes
Concrete outcomes:
Joint proposal ideas (EU / DFG / other funding)
Collaboration clusters
Potential co-authored papers, datasets, and benchmarks
Roadmap for follow-up activities
12:00 – 13:00 | Optional Lunch & Farewell
Final networking
Goodbye & departure
Host
Host
Prof. Dr.-Ing. Michael Färber is Full Professor of Scalable Software Architectures for Data Analytics at the AI Center ScaDS.AI and the Faculty of Computer Science, TU Dresden. His research lies at the intersection of natural language processing, large language models, knowledge graphs, and graph machine learning, with a focus on trustworthy and explainable AI. He has authored more than 100 publications in leading AI venues and leads multiple national and international research projects on AI, knowledge representation, and scientific discovery.
Participants
Participants
🇨🇿 Charles University / ÚFAL
🇨🇿 Palacký University Olomouc
🇨🇿 Prague University of Economics and Business
🇨🇿 Prague University of Economics and Business
🇵🇱 NASK National Research Institute
🇵🇱 University of Innsbruck
🇵🇱 Jagiellonian University
🇵🇱 Poznan University of Technology
🇵🇱 Jagiellonian University, Halmstad University
🇵🇱 Wroclaw University of Science and Technology
Organizers
Organizers
General Chair
General Chair
Prof. Michael Färber
ScaDS.AI/ TU Dresden
Program Chair
Program Chair
Shuzhou Yuan
ScaDS.AI/ TU Dresden
Administration
Administration
Angèle Héliès
ScaDS.AI/ TU Dresden
Local Chair
Local Chair
Zhan Qu
ScaDS.AI/ TU Dresden
Local Chair
Local Chair
Tobias Schreieder
ScaDS.AI/ TU Dresden
Local Chair
Local Chair
Jingbo He
ScaDS.AI/ TU Dresden
Local Chair
Local Chair
AFM Mohimenul Joaa
ScaDS.AI/ TU Dresden
Local Chair
Local Chair
Himanshu Beniwal
ScaDS.AI/ TU Dresden
Location
Location
Strehlener Straße 14,
7th floor, Room 745
01069 Dresden
Germany
How to arrive?
From Dresden Hauptbahnhof (main train station), it is a 10-minute walk.
Alternatively, you can take Bus 66 from main train station and get off at Uhlandstraße, which is right next to our building!
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