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 Fall 2023: Rachel Heyard

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.

University of Basel

University of Bern

University of Geneva

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

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30. March - online

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

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20. April - online

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

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4. May - online

The RCT Duplicate Project with Shirley Wang, Harvard Medical School

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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

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September 29 2022, Simon Schwab, Swisstransplant

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

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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

Links:

Ten Simple Rules for Reproducible Computational Research

Ten Simple Rules for Creating a Good Data Management Plan

Ten simple rules for good research practice

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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

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November 24,  Marianna Rosso, CRS

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

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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

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

Investigating the replicability of preclinical cancer biology”

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

Experiments from unfinished Registered Reports in the Reproducibility Project

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

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

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

Leveraging Doctoral Requirements to Promote Reproducibility

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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

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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: https://www.narps.info

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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

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October 28 2021, Prof. Chris Chambers, Cardiff University

The Seven Deadly Sins of Psychology

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

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

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November 25 2021, Rachel Heyard

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

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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
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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
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March 25, 202116:00-16:45h, Laura Kinkead, Dept. of Quantitative Biomedicine (Krauthammer Lab), University of Zurich
Tools and techniques for computational reproducibility
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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)
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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?
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May 20, 2021 16:00-16:45h, Lonni Besançon, Monash University, Melbourne, Australia
Open Science Saves Lives: Lessons from the COVID-19 Pandemic
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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?
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October 29, 2020 16:00-17:00h, Prof. Dr. Mark Robinson, University of Zurich
"Rethinking Reproducibility as a Criterion for Research Quality"
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November 12, 2020 16:00-17:00h, Charlotte Micheloud, University of Zurich
High Replicability of Newly-Discovered Social-behavioral Findings is Achievable
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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
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December 10, 2020 16:00-17:00h, Dr. Simon Schwab, University of Zurich
Challenges and future directions for representations of functional brain organization
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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)