Multi-Analyst Study Hackathon on Interpretable Machine Learning
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Date: 2026-07-02
Location: Dortmund, DE
Type: hackathon
Level: open
Organizer: TU Dortmund
Tags: ai, data-science, reproducible-research
This hackathon focuses on interpretable machine learning for longitudinal and clustered data. Researchers are invited to develop and compare approaches by working with provided datasets to create methodological guidelines. The goal is to improve the application of ML in complex data structures and collaboratively evaluate methods.