Time: September 26 (Thursday), 9:00 - 13:00
Location: OMDS Seminar Room (3.307, OMP-1)
As top economics and finance journals now mandate code and data sharing, ensuring credibility and longevity of scholarly work is essential. This workshop equips participants with tools andtechniques for reproducibility, effective communication, and efficient collaboration. Prior programming experience is beneficial but not required, as the workshop covers foundational knowledge alongside advanced reproducibility techniques applicable to any programming language. For more details, please visit tidy-finance.org.
- Instructor
Christoph Scheuch is an independent data science and business intelligence expert. He co-created and maintains the Tidy Finance project, a transparent, open-source approach to research in financial economics. Christoph previously held the roles of Head of Artificial Intelligence, Director of Product, and Head of BI & Data Science at the social trading platform wikifolio.com. He was an external lecturer at the Vienna University of Economics and Business (WU), where he obtained his PhD in finance as part of the Vienna Graduate School of Finance (VGSF).
- Schedule
The workshop will be conducted in English.
9:00 - 10:00 Introduction to Reproducible Research, Structuring Research Projects
10:00 - 10:15 Coffee Break
10:15 - 11:15 Tidy Data Principles, Tidy Coding Principles
11:15 - 11:30 Coffee Break
11:30 - 12:30 Literate Programming with Quarto, Code Management & Collaboration with Git & GitHub
12:30 - 13:00 Informal Q&A
