Patrick Wessa

Research Interests

I am working as a statistics and information science professor at the University of Leuven. My research is located at the Leuven Institute for Research on Information Systems (LIRIS) and focuses on the intersections of Information Science, Statistics, Software Engineering, Education, and Statistical Decision Making/Support. One of my pet projects involves innovative, statistical Web Technologies and Applications for the purpose of reproducible, scientific research and collaborative, academic education. In particular my work focuses primarily on Compendium Technologies, Reproducible Statistical Computing, and associated Meta Databases.


Here are a few projects I am currently working on:

In summary, I am interested in multidisciplinary, scientific questions from (almost) any field that can be studied through solid, statistical research and innovative information technology.


Here you find a list of some of my websites:

Work in progress

Here you find a list of some papers that are under development:

Recent Publications

This is a selection of recent publications:

Contact Information

You can contact me through e-mail: patrick at wessa dot net

Short Bio

If you are looking for a short bio, here's a text that might be useful in publications:

Patrick Wessa is an information science & statistics professor (PhD, Institute for Statistics and Econometrics, University of Basel, CH) with a strong interest in information technologies. His research is located at the Leuven Institute for Research on Information Systems (LIRIS, University of Leuven, Belgium) and is mainly focused on multidisciplinary, scientific questions that can be studied through reproducible statistics and information technology. His innovations have been made freely accessible through a series of web applications that have become increasingly popular among academics and have been cited in a large number of scholarly articles. In recent years, he disseminated his findings through a variety of publication outlets in the domains of software engineering, computational statistics, computer-supported education, and multidisciplinary science.