The DISC-AI-Lab Users Meeting aims to bring together people who use or contribute to one of the many subprojects within the AI-Aided Knowledge Discovery Lab. The goal is to meet each other, share information, learn about new developments, and discuss collaborations.
Users Meeting
The meeting is free, but organizing it is not. To facilitate catering (coffee, tea, etc) and to arrange the administration, we ask participants for a donation via the university’s crowdfunding platform.
Who, When, Where?
Who?
Anybody can participate; whether you have brilliant ideas, love statistics (or not!), or want to listen to the great adventures in the DISC-AI-Lab, you are very welcome! It is all about learning and improving your skills. You can also meet new people who can introduce you to incredible new insights or ways of working.
Because we want to stimulate interaction and collaboration, the maximum number of participants is ~42
When?
Thursday, March 7 (2024) – 13.00-16.00 (CET) with the option to stay and collaborate/contribute.
2024/03/07 13:00:00
Where?
AI-Lab Community Room – Located in the old University Library – Entrance at the Drift 27 – Room 0.21 – Utrecht, The Netherlands.
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Program
Confirmed speakers
Session 1
Frans Folkvord – Setting the stage for an Improved use of Patient Generated Health Data
Bruno Messina Coimbra – Discussing Initial Insights in the FORAS project
Duco Veen – Discussing the PreMO project, getting a head start on AI-Aided Medical Guideline Optimization
Sanne van Dijk – Artificial intelligence in systematic reviews: promising when appropriately used
Session 2
Saba Noor – Discussing Systematic Review on Infectious Disease Management within Precision Livestock Farming using ASReview
Peter Lombaers* (engineer at IDfuse & ASReview) – Presenting Snowballing Data set
Jelle Teijema* – Showing AI Highlighting
Laurens de Bruin* – Showing a Calibration data set generator
Michiel Bron* – Towards reliable LLM-aided reviewing
* Quick show and tell sessions.
Samuel Langton and Mass van Steenbergen – Producing a report from ASReview on inter-rater reliability