UZH ReproducibiliTea Journal Club

The ReproducibilitTea is a journal club dedicated to topics related to reproducibility, open science, research quality, or good/bad research practices (in any field).

Organizer: Simon Schwab

Spring semester 2020

CRS will host the ReproducibiliTea journal club in the spring semester of 2020 again. We meet approximately every second week on Thursdays at 16:00, see schedule below. You can join the journal club at here using Zoom.

Brew your own tea before you join. All participants are welcome! Are you interested in discussing a paper? Contact us at crs@ebpi.uzh.ch 

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.

Schedule:

May 28, 2020 16:00 - 17:00, TBA

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

19.09.2019

201909_CRS ReproducibiliTea
Leonhard Held           

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

Meeting, preprint

10.10.2019

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

24.10.2019

201909_ReproTeaJournalClub
Simon Schwab

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

https://doi.org/10.7554/eLife.36163

14.11.2019
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.

https://journals.sagepub.com/doi/10.1177/2515245918810225

and if time allows

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

https://osf.io/vgfqy/

28.11.2019
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.

https://doi/10.1177/2515245917747646

05.12.2019

Filip Melinscak

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