D3A 4.0
PROGRAMME
Please note that the programme is preliminary.
Speaker details and further information about the sessions will be added shortly
Engineering Trust: The convergence of AI, Safety, and Security in Cyber-Physical Systems and Interconnected Environment
Data Science of Human-centric Mobility
Physics-Informed AI for Real-World Engineering
Perspectives, Applications, and Open Problems in AI for Robots and Embodied Agents – A community-building event
Evaluating and Monitoring Ambient Scribe Systems in Danish Healthcare
Stress-test FRED: A Mental Health Conversational AI Agent for Struggling Families
Taking a Seat at the Table: Leadership & CV Workshop
Supercomputing: Challenges & Agents
Nava Tintarev, Professor, Maastricht University
The Future of Social Data Science: What Role Can it Play in Denmark and Beyond? – second edition
Knowledge Graphs: Connecting Theory, Algorithms, and Applications
AI for Complex Medical Procedures: From Robotic Assistance and Clinical Decision-Making to Training the Next Generation
Multimodal, Conversational, and Decision Support Intelligence for Service and Industrial Robotics
The importance (and struggle) of real-world data
Conversational AI and Youth Mental Health: Mapping Risks, AI Literacy, and Safety
The Early Career Researcher’s Guide to Funding Your Own Research
AI for Energy Critical Infrastructure
Robotics Opportunities and Perils in the Age of AI
Advancing AI in Women’s Health: Building the Next Generation of Research Collaborations
Bayesian Statistics, Modern Statistics, and Machine Learning in Data Science
AI4SE1DK: Human-Centred AI for Software Engineering — A National Conversation
Machine Learning Theory
Resource-Aware & Constrained AI
Re-connecting Science and Practice in Support of More and Better User Involvement in IT Development
Interpretability in the Lab and in the Wild
Security, Safety, and Privacy in AI: Cross-disciplinary Perspectives on Trustworthy AI
Tools and Methods for Operationalizing the AI-Act in Research and Industry
Bridging Minds and Machines: Responsible AI for Mental Health Care
Applied Data Ethics 2026
All Deep Dive Workshops continue after lunch,
except Applied Data Ethics, which lasts 90 minutes
Henrik Wann Jensen, Honary Professor, Aarhus University, Dept. of Computer Science
