Menu
PROGRAM
22 – 23 October 2024
How should we teach data science to the future generation?
Room
Software infrastructures for teaching at scale
Room
Transforming Human-Centric Software Engineering with Generative AI: Insights and Innovations
Room
Networks, data, society and AI
Room
Level up your data & life science lab’s reproducibility
Room
Resource-aware machine learning
Room
Clinical predictive modeling: closing the gap between data science and clinical research
Room
Unlocking the digital academic talent pool potential to accelerate entrepreneurship and innovation
Room
More user involvement now – how may science contribute?
Room
Self-supervised learning from time series
Room
AI, human rights and regulation: challenges and opportunities around the AI-Act
Room
Scalability Clinique
Room
Forum on Embedded AI
Room
Bayesian methods for uncertainty quantification
Room
Supercharge your causal inference with machine learning
Room
What lessons are AI researchers re-learning that HCI researchers have known about for years?
Room
A guided tour through the Danish public data landscape
Room
Verifiable, robust and explainable AI
Room
The dataethics of GenAI for public administration – challenges, opportunities and solutions
Room
Deeply qualitative AI
Room
From classroom to career: data science degrees and early career opportunities
Room
Overcoming the “Valley of Death” in AI-assisted preventive mental-health technology
Room
Hackathon: Unified data analytics with Apache Wayang
Room
We need more secure software, not more security software!
Room
Machine learning theory
Room
Applied Chemonmetrics – an engaging 20-minute challenge based on spectral data
Room
Use of healthcare data and AI – the need for collaboration between data scientists and healthcare professionals
Room
Synthetic data generation and augmentation for deep learning 2.0
Room
Future technologies for hybrid work
Room
XR visions: challenges and future directions of human-centered extended reality
Room
From brain circuits to the edge AI using active inference tools
Room
Fair division – Economics, computational social science, and AI
Room
Equity and inclusion in genomic studies: unravelling the complexities
Room
Drug discovery in the era of big data: AI vs. regulation
Room
Data management aspects of analytics
Room