Dear ISBA members,

This summer the University of Amsterdam is organizing two workshops on Bayesian analysis (see below). Workshop participants are invited to present a poster introducing their research topic. Note that there is a reduced fee for students. We would greatly appreciate it if you forwarded this email to individuals and research groups that may be interested in these workshops.

Kind regards,
Eric-Jan Wagenmakers

1. “Theory and Practice of Bayesian Hypothesis Testing: A Hybrid JASP Workshop” held August 29–30, 2022, in Amsterdam. This workshop can be attended both on-site in Amsterdam or online.

The main purpose of this workshop is to familiarize participants with key Bayesian concepts in hypothesis testing. Concrete examples illustrate how to compute, report, and interpret Bayesian hypothesis tests for popular statistical models such as correlation, regression, t-test, ANOVA, and contingency tables. To facilitate the learning process we use JASP, a program whose attractive graphical user interface allows us to focus on core Bayesian concepts and principles. This workshop is relevant to psychologists, economists, biologists, and generally any student or researcher who wishes to draw conclusions from empirical data. No background in Bayesian statistics is required.

For details, please visit the workshop website:

2. “Annual JAGS and Stan Workshop: Bayesian Modeling for Cognitive Science” held August 22–26, 2022, in Amsterdam.

In this workshop, plenary lectures provide the theoretical background of Bayesian inference, and practical computer exercises teach you how to apply the popular JAGS and Stan software to a wide range of different statistical models. After completing this workshop, you will have gained not only a new understanding of statistics, but also the technical skills to implement models that are appropriate for the substantive hypotheses that you seek to test. This workshop is meant for researchers who want to learn how to apply Bayesian inference in practice. As the workshop covers a variety of topics within cognitive science and exercises of varying difficulty, the course material is appropriate for researchers with a wide range of prior knowledge and interests. Although some basic knowledge of Bayesian inference is an advantage, this is not a prerequisite. Some basic knowledge of either R or Matlab is also an advantage.

For details, please visit the workshop website: