Paul Meehl Graduate School

Best Practices in Reproducible Workflows

Course Description

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Prerequisites

A basic understanding of R is expected for this workshop.

Reading Materials

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Capacity

This course has a maximum capacity of 25 participants.


Time and Location

This workshop will be held on-site only at Eindhoven University of Technology. Details will be provided to all attendees over email after registration for the workshop.

Workshops start from 9:30 to 16:30 with a lunch break from 12:30 to 13:30. Lunch will not be provided but can be purchased at the university canteen or the on-campus supermarket.


Instructors

dr. Casper van Lissa

Caspar van Lissa is an associate professor at the Department of Methodology at Tilburg University. His research uses machine learning to find patterns in data that complement blind spots in existing theories. He also develops methods for synthesis of research findings and reproducible workflows that have been applied in diverse areas, ranging from climate research to mental health and well-being.