D3A 3.0
PROGRAM
Additions or changes may occur
Caroline Stage OlsenDanish Minster for Digital Affairs
Bridging minds and machines: A collaborative workshop for psychologists and data scientists
Integrating LLMs into the interview process: Challenges and opportunities
The future of social data science: What role can it play in Denmark and beyond?
Optimizing reproducibility in neuroinformatics: From pipelines to practice
Resource-aware machine learning
Addressing selection bias: Methodological challenges with examples from health sciences
Bayesian statistics and machine learning in data science
Bridging the gap from medical data science research to clinical evidence
Digital twins and medical robotics for intelligent and personalized healthcare
Multimodal intelligence: Advancing beyond text with Generative AI
Latent space navigation – interpretation, probing and steering
From aid to ally: When does AI gain a clinician’s trust?
Open source & open science enthusiasts meetup
Pop science write-athon: Share your expertise in public media
User Involvement in AI and healthcare data science: Bridging ethics, practice, and patient perspectives
Applied data ethics 2025
Verifiable, Robust and Explainable AI
PLaID – Programming Languages in Denmark
AI for Software and Cyber-Physical Systems
Societal Impact of AI
Statistical Perspectives on Machine Learning for Health Applications
Big Scandinavian Data and LLMs
From Pixels to Products: CV in Danish Research & Industry
Network Science and Social Data Science
Machine Learning Theory