D3A 4.0
PROGRAMME
Engineering Trust: The convergence of AI, Safety, and Security in Cyber-Physical Systems and Interconnected Environment
Salon 20-21
Data Science of Human-centric Mobility
Salon 25
Physics-Informed AI for Real-World Engineering
Auditorium
Perspectives, Applications, and Open Problems in AI for Robots and Embodied Agents – A community-building event
Salon 30+31
Evaluating and Monitoring Ambient Scribe Systems in Danish Healthcare
Salon 22+23
Stress-test FRED: A Mental Health Conversational AI Agent for Struggling Families
Sal D
Taking a Seat at the Table: Leadership & CV Workshop
Salon 28+29
Supercomputing: Challenges & Agents
Salon 26+27
Nava Tintarev, Professor in Explainable AI at Maastricht University in the Department of Advanced Computing Sciences
Sal A+B
The Future of Social Data Science: What Role Can it Play in Denmark and Beyond? – second edition
Lokale 20+21
Knowledge Graphs: Connecting Theory, Algorithms, and Applications
Sal D+E
AI for Complex Medical Procedures: From Robotic Assistance and Clinical Decision-Making to Training the Next Generation
Lokale 22+23
Multimodal, Conversational, and Decision Support Intelligence for Service and Industrial Robotics
Lokale 25
The importance (and struggle) of real-world data
Lokale 26+27
Conversational AI and Youth Mental Health: Mapping Risks, Safety and AI Literacy
Lokale 30+31
The Early Career Researcher’s Guide to Funding Your Own Research
AI for Energy Critical Infrastructure
Lokale 28+29
Robotics Opportunities and Perils in the Age of AI
Lokale 28
Advancing AI in Women’s Health: Building the Next Generation of Research Collaborations
Modern Statistics and Machine Learning in Data Science
AI4SE1DK: Human-Centred AI for Software Engineering — A National Conversation
Lokale 29
Machine Learning Theory
Resource-Aware & Constrained AI
Re-connecting Science and Practice in Support of More and Better User Involvement in IT Development
Lokale 26
Interpretability in the Lab and in the Wild
Security, Safety, and Privacy in AI: Cross-disciplinary Perspectives on Trustworthy AI
Lokale 24
Tools and Methods for Operationalizing the AI-Act in Research and Industry
Lokale 27
Bridging Minds and Machines: Responsible AI for Mental Health Care
Lokale 22
Applied Data Ethics 2026
Lokale 23
All Deep Dive Workshops continue after lunch, except Applied Data Ethics, which lasts 90 minutes
Georgios Leontidis, Professor of Machine LearningFounding co-director, Arctic Institute for AI in Science and InnovationUiT The Arctic University of Norway, Tromsø, Norway