SOLIDERA Workshop for Health Data Analysis: April 16-17
6. February 2025
“AI will soon beat doctors and lawyers by a large margin.” – Elon Musk
But what about researchers? Which aspects of data analysis are likely to be automated, and which best practices and standards should guide AI-driven research?
If you want to challenge Elon’s claim, join our interactive study and workshop on April 16-17 at the University of Zurich! Become part of our international SOLIdifying Digital REseaRch Approaches in health sciences (#SOLIDERA) initiative to shape research practices and education in health data analysis.
About the Workshop
Our team, consisting of health researchers from the University of Zurich, Fribourg, and Toronto, will conduct an experiment where teams will tackle a real-world data analysis challenge. We will observe participants as they work through the task, gathering insights to inform best practices in data-driven health research.
Who We’re Looking For
We are recruiting 12-16 PhD students or early Post-Docs with strong quantitative skills and hands-on experience in data analysis. Ideal candidates should:
✅ Be proficient in R/Python and experienced in health-related data analysis
✅ Be available for a pre-workshop Zoom session (date TBD)
✅ Attend the full workshop from April 16 (10 AM) to April 17 (4 PM)
✅ Consent to being observed and recorded during the challenge (all data anonymized)
What’s in It for You?
🔹Tackle a real-world data analysis challenge in a competitive team setting
🔹Engage in expert-led discussions on best practices in health data research
🔹Network with international researchers from Zurich, Fribourg, and Toronto
🔹 A gift card for all partcipants and a prize for top-performing teams
🔹 Free lunches on April 16 & 17 + a social dinner event on April 16
How to Apply
📅 Deadline: March 3 – Apply via the online form here.
🔍 Participants will be selected by the Workshop Organizing Committee to ensure a diverse and balanced mix of teams.
📢 Notification by March 7 for selected participants.
Questions?
Contact Jana Sedlakova (sedlakova@ifi.uzh.ch) or Viktor von Wyl (viktor.vonwyl@uzh.ch) for more information.