UZH ReproducibiliTea Journal Club

The ReproducibiliTea is a journal club dedicated to topics related to reproducibility, statistics in data analysis, open science, research quality and good research practices (across fields, biomedicine, social sciences, computer science. etc). These journal clubs happen simultaneously around the world, see further information here

Organizer: Dr. Simon Schwab

Fall semester 2020

The CRS will host the ReproducibiliTea journal club in the fall semester of 2020 again. We meet about every other week on Thursdays at 16:00, for more details and Zoom links see schedule below.

Brew your own tea before you join. All participants are welcome!

Are you interested in discussing a paper? Contact us at 

Speaker information: The talk should approximately be 30 min. followed by a 15-30 min. discussion. Please join the meeting 15 min. before for an audio/video check.

Slides: PDF of the talks are available here.


September 17, 2020 16:00-17:00h, Dr. Bernhard Voelkl, University of Bern
Reproducibility of animal research in light of biological variation

October 1, 2020 16:00-17:00h, Niels Mede, University of Zurich
The “replication crisis” in the public eye: Germans’ awareness and perceptions of the (ir)reproducibility of scientific research

October 15, 2020 16:00-17:00h, Prof. Dr. Christoph Flückiger, University of Zurich
Reproducibility in psychological interventions between humans: Is the working alliance an epiphenomenon?
Register & join here.

October 29, 2020 16:00-17:00h, Prof. Dr. Mark Robinson, University of Zurich
"Rethinking Reproducibility as a Criterion for Research Quality"
Register & join here.

November 12, 2020 16:00-17:00h, Charlotte Micheloud, University of Zurich
High Replicability of Newly-Discovered Social-behavioral Findings is Achievable
Register & join here.

November 26, 2020 16:00-17:00h, Dr. Romain-Daniel Gosselin, CHUV Lausanne
Statistical Analysis Must Improve to Address the Reproducibility Crisis: The ACcess to Transparent Statistics (ACTS) Call to Action
Register & join here.

December 10, 2020 16:00-17:00h, Dr. Simon Schwab, University of Zurich
Challenges and future directions for representations of functional brain organization
Register & join here.

Spring semester 2020

June 4, 2020 16:00 - 17:00, Simon Schwab,
Variability in the analysis of a single neuroimaging dataset by many teams by Botvinik-Nezer et al. (2020)

May 14, 2020 16:00 - 17:00, Servan Grüninger, 
What is replication? by Nosek & Errington (2020)

April 30, 2020 16:00 - 17:00, Bettina Baessler,
Robustness and Reproducibility of Radiomics in Magnetic Resonance Imaging: A Phantom Study by Baessler et al. (2019)

April 2, 2020 16:00 - 17:00, Samuel Pawel,
A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker by Peikert & Brandmaier (2019)

March 26, 2020 16:00 - 17:00, Dr. Filip Melinscak,
Automating Sciences: Philosophical and Social Dimensions by King et al. (2018)

Fall semester 2019

Date Name Title


201909_CRS ReproducibiliTea
Leonhard Held           

Royal Statistical Society discussion of “A new standard for the analysis and design of replication studies”

Meeting, preprint


20191010 CRS ReproTea
Samuel Pawel Predictive evaluation of replication studies Master thesis


Simon Schwab

Why we need to report more than “Data were analyzed by t-tests or ANOVA”. Weissgerber et al. eLife, 2018.

20191114 CRS ReproTeaJournalClub
Eva Furrer

Changed: Many Labs 2: Investigating Variation in Replicability Across Samples and Settings. Klein, Vianello et al., Advances in Methods and
Practices in Psychological Science 2018, Vol. 1(4) 443–490.

and if time allows

Predicting replication outcomes in the Many Labs 2 study. Forsell, Viganola et al.

CRS ReproTea 20191128


Mark Robinson

Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results. R. Silberzahn, E. L. Uhlmann, D. P. Martin et al., Advances in Methods and Practices in Psychological Science, 1(3), 337–356.



Filip Melinscak

Flexible Yet Fair: Blinding Analyses in Experimental Psychology.
Gilles Dutilh, Alexandra Sarafoglou, and Eric-Jan Wagenmakers