---
title: "Multi-Analyst Study Hackathon on Interpretable Machine Learning"
date: 2026-07-02T00:00:00+00:00
end_date: 2026-07-02T00:00:00+00:00
location: "Dortmund, DE"
format: onsite
type: hackathon
level: open
prize: N/A
tags: "ai, data-science, reproducible-research"
url: "https://sms.statistik.tu-dortmund.de/details/call-for-contributions-multi-analyst-study-hackathon-on-interpretable-machine-learning-61779/"
canonical: "https://hackathonhub.eu/events/multi-analyst-study-hackathon-on-interpretable-machine-learning-dortmund-2026"
---

# Multi-Analyst Study Hackathon on Interpretable Machine Learning

**Date:** 2026-07-02  
**Location:** Dortmund, DE  
**Format:** onsite  
**Type:** hackathon  
**Level:** open  
**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.

[Register or learn more](https://sms.statistik.tu-dortmund.de/details/call-for-contributions-multi-analyst-study-hackathon-on-interpretable-machine-learning-61779/)

[View on Hackathon Hub](https://hackathonhub.eu/events/multi-analyst-study-hackathon-on-interpretable-machine-learning-dortmund-2026)