24th September 2024
9:00 – 9:10 Welcome by the Chairs
9:10 – 10:10 Keynote 1 by Zosia Beckles
Sharing sensitive data for machine learning: A Repository Perspective
10:10 – 11:00 Paper Session 1
Paper 1:
A Comparative Analysis on Machine Learning Techniques for Research Metadata: the ARDUOUS Case Study.
Presenter: Dipendra Yadav
Paper 2:
A Methodology and System For Big-Thick Data Collection
Presenter: Ivan Kayongo
Paper 3:
Addressing Privacy in Passive Data Collection for Nursing Documentation
Presenter: Farnod Bahrololloomi
Paper 4:
Challenges in Data Preservation for AI and ML Systems.
Presenter: Gregory Tourte
Paper 5:
Understanding and Addressing User Needs for Annotation of Simple Sensor Data
11:00 – 11:30 Coffee break
11:30 – 12:30 Panel 1:
Data Management and preservation in applied ML systems
12:30 – 14:00 Mittagspause
14:00 – 14:30 Paper Session 2
Paper 6:
Variability of annotations over time. An experimental study in the dementia-related named entity recognition domain.
Presenter: Teodor Stoev
Paper 7:
Assessing Large Language Models for annotating data in Dementia-Related texts: A Comparative Study with Human Annotators
Presenter: Sumaiya Suravee
14:30 – 15:30 Panel 2:
Research Data Management from the AI perspective: capturing data and annotation, processing, validation, maintenance and preservation in real-world applications
15:30 – 16:00 Coffee break
16:00 – 17:00 Keynote 2 by Patrick Brunner:
Navigating the EU AI Act. An introduction to the EU Regulation on Artificial Intelligence
17:00 – 17:30 Summary and closing words