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Center for Reproducible Science

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. Slides from past contributions to the Zurich ReproducibiliTea can be found on our page on the Open Science Framework.

Organizer Spring 2024: Rachel Heyard

Spring semester 2024

For all meetings the time is 16:30-17:15

21. February - online

Reproducibility in methodological research, lessons from the RepliSims project with Anna Lohmann,  Leiden University Medical Centre

6. March - hybrid 

Rewarding reproducibility: Towards a responsible research assessment with Felix Schönbrodt, Ludwig-Maximilians-Universität, Munich

Join us in-person in Room SOC-F-101 (Rämistrasse 69, 8001 Zürich) or online .

20. March - online

Better nanoscience through open, collaborative critical discussions with Nathanne Rost, Federico Boem, Raphaël Levy, NanoBubbles

10. April - online

Open and reproducible practices in developmental psychology research: The workflow of the WomCogDev lab as an example with Nora Turoman and Evie Vergauwe, University of Geneva

24. April - online

Exploring CODECHECK: a system for reporting the reproducibility of computations underlying research articles. with Stephen Eglen, University of Cambridge

8. May - online

OpenAlex - The open (and better) Web of Science and why we should use it with Rainer Krug, University of Zurich

29. May - online

Reproducibility not a cup of tea: challenges in setting up a reproducibility project with Mustafa Gharib, Maha Said, Raphaël Levy, NanoBubbles

ReproducibiliTea at other Swiss Universities

Previous semesters:

Fall semester 2023

We started collaborating with the ReproducibiliTea Basel and invite all of UZH to join the ReproducibiliTea UniBasel this semester. Additionally, we organize the following talk

30. November - online

Method Reporting with Initials for Transparency (MeRIT) promotes more granularity and accountability for author contributions with Maria Dunbar, Oslo Metropolitan University

Join here


Find the program for ReproducibiliTea Basel below. Registrations for these talks are taken through eventbrite

link of flyer_ReprodTeaBasel_2023.pdf


Spring semester 2023

2. March - UZH (Room: KOL-H-321)

Has the Credibility of the Social Sciences Been Credibly Destroyed? Reanalyzing the “Many Analysts, One Data Set” Project with Josef Brüderl and Katrin Auspurg, LMU Münich


9. March - UZH (Room: HRS-F-28)

Ten simple rules for good research practice with Philip Yarvis, Novarits


16. March - online

Reproducible research in data science with Manuel Günther, CRS member and Department of Informatics, UZH

Join here


30. March - online

eLife's new publishing model with Meredith Schuman, CRS steering committee, Editor at eLife, and Department of Geography, UZH

Join here


20. April - online

One statistical analysis must not rule them all with Alexandra Sarafoglou, University of Amsterdam

Join here


4. May - online

The RCT Duplicate Project with Shirley Wang, Harvard Medical School

Join here


25. May - online

Many researchers were not compliant with their published data sharing statement: a mixed-methods study with Mirko Gabelica, University Hospital Centre Split

Join here

Fall semester 2022

September 29 2022, Simon Schwab, Swisstransplant

Clinical prediction model for prognosis in kidney transplant recipients (KIDMO)

Join here


October 13 2022, Malgorzata Roos, CRS fellow

Translation of reproducible science following simple rules for reproducible computational research, a good Data Management Plan, and good research practice


Ten Simple Rules for Reproducible Computational Research

Ten Simple Rules for Creating a Good Data Management Plan

Ten simple rules for good research practice

Join here


October 27 2022, Heidi Seibold, Open and Reproducible Data Science: Munich, DE

A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses

Room: KOL-F-117


November 10 2022, Samuel Pawel, CRS fellow

Pitfalls and Potentials in Simulation Studies

Join here


November 24,  Marianna Rosso, CRS

Reliability of common mouse behavioural tests of anxiety: A systematic review and meta-analysis on the effects of anxiolytics

Join here


December 8 2022, Carolin Strobl, CRS Steering Committee

Against the “one method fits all data sets” philosophy for comparison studies in methodological research

Room: KOL-H-317


Spring semester 2022

February 24 2022 16:00-16:45, Benjamin Ineichen, CRS fellow

Investigating the replicability of preclinical cancer biology

Join here


March 10 2022 16:00-16:45, Hassan Fazilaty, CRS fellow

Experiments from unfinished Registered Reports in the Reproducibility Project

Join here


April 7 2022 16:00-16:45, Jessie Baldwin, UCL

Protecting against researcher bias in secondary data analysis: challenges and potential solutions

Join here


May 5 2022 16:00-16:45, Anne Jorstad, Head of Data Team, SNSF

Leveraging Doctoral Requirements to Promote Reproducibility

Join here


May 19 2022 16:00-16:45, Leonhard Held, Eva Furrer and Rachel Heyard, CRS

Ten simple rules in good research practice for early career researchers

Join here


Fall semester 2021

September 30th 2021 16:00-16:45h, Rotem Botvinik-Nezer, Cognitive and Affective Neuroscience Lab, Dartmouth College, USA

Variability in analyzing a single neuroimaging dataset by many teams

See also the Neuroimaging Analysis Replication and Prediction Study:

Join here


October 14 2021 16:00-16:45h, Francesca Freuli, visiting PhD student at CRS

An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports

Join here


October 28 2021, Prof. Chris Chambers, Cardiff University

The Seven Deadly Sins of Psychology

Join here


November 11 2021 16:00-16:45h, Leonhard Held, CRS director

An open science pathway for drug marketing authorization—Registered drug approval

Join here


November 25 2021, Rachel Heyard

What do we know about grant peer review in the health sciences?

Join here

Spring semester 2021

February 25, 2021 16:00-16:45h, Maria Dunbar, Dept. of Biostatistics, EBPI, University of Zurich
Problems with Evidence Assessment in COVID-19 Health Policy Impact Evaluation (PEACHPIE): A systematic strength of methods review
Register & join here.

March 11, 2021 16:00-16:45h, Christian Decker, Dept. of Economics, University of Zurich
P-hacking in clinical trials and how incentives shape the distribution of results across phases
Register & join here.

March 25, 202116:00-16:45h, Laura Kinkead, Dept. of Quantitative Biomedicine (Krauthammer Lab), University of Zurich
Tools and techniques for computational reproducibility
Register & join here.

April 22, 2021 16:00-16:45h, Hassan Fazilaty, Inst. of Molecular Life Sciences, University of Zurich
Zebrafish prrx1a mutants have normal hearts (Matters arising for original article)
Register & join here.

May 6, 2021 16:00-16:45h, Perrine Janiaud, University Hospital of Basel
Lessons Learned from COVID-19 Trials – Should We Be Doing Clinical Trials Differently?
Register & join here.

May 20, 2021 16:00-16:45h, Lonni Besançon, Monash University, Melbourne, Australia
Open Science Saves Lives: Lessons from the COVID-19 Pandemic
Register & join here.

Fall semester 2020

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