PROGRAM
22 – 23 October 2024
Moderator: Toine Bogers, IT-University of Copenhagen
Sal A + B
Cecilia Mascolo, Professor of Mobile SystemsDepartment of Computer Science and Technology, University of Cambridge, UK
Presenter: Mina Alipour, Assistant Professor, The Maersk Mc-Kinney Moller Institute, SDU
How should we teach data science to the future generation?
Salon 20
Software infrastructures for teaching at scale
Salon 27
Transforming Human-Centric Software Engineering with Generative AI: Insights and Innovations
Sal 21
Networks, data, society and AI
Sal D
Level up your data & life science lab’s reproducibility
Sal G
Resource-aware machine learning
Salon 28
Clinical predictive modeling: closing the gap between data science and clinical research
Sal J
Unlocking the digital academic talent pool potential to accelerate entrepreneurship and innovation
Sal 25
More user involvement now – how may science contribute?
Sal 26
Self-supervised learning from time series
Sal A+B
AI, human rights and regulation: challenges and opportunities around the AI-Act
Auditorium
Scalability Clinique
Sal 29
Moderator: Rolf Hvidtfeldt, Associate Professor, Department of Communication and Psychology, AAU
Sal A+ B
Forum on Embedded AI
Bayesian methods for uncertainty quantification
Supercharge your causal inference with machine learning
What lessons are AI researchers re-learning that HCI researchers have known about for years?
Sal 28
A guided tour through the Danish public data landscape
Verifiable, robust and explainable AI
The dataethics of GenAI for public administration – challenges, opportunities and solutions
Deeply qualitative AI
From classroom to career: data science degrees and early career opportunities
Overcoming the “Valley of Death” in AI-assisted preventive mental-health technology
Hackathon: Unified data analytics with Apache Wayang
Sal 27
We need more secure software, not more security software!
Sal 22
Machine learning theory
Applied Chemonmetrics – an engaging 20-minute challenge based on spectral data
Use of healthcare data and AI – the need for collaboration between data scientists and healthcare professionals
Synthetic data generation and augmentation for deep learning 2.0
Future technologies for hybrid work
XR visions: challenges and future directions of human-centered extended reality
Sal 20
From brain circuits to the edge AI using active inference tools
Sal 24
Fair division – Economics, computational social science, and AI
Equity and inclusion in genomic studies: unravelling the complexities
Drug discovery in the era of big data: AI vs. regulation
Data management aspects of analytics
Alfred Spector, Visiting scolar, MIT and a Senior Advisor at Blackstone
Presenter: Beatrix Miranda Ginn Nielsen, PhD Student, Department of Applied Mathematics and Computer Science, DTU
Mikkel Baun Kjærgaard, Professor, University of Southern Denmark