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Love Data @ Soton: Southampton ReproducibiliTea


Southampton ReproducibiliTea

Southampton ReproducibiliTea is a journal club for anyone interested in robust research practice, reproducibility, replication, open science, and transparency.

Usually, in each session we discuss a paper related to a theme, or invite a speaker to do a seminar. You can also see a list of our previous sessions and papers at the bottom of this page.

Next session:

ReproducibiliTea session will take place this Thursday, 9th May, from 12:30 – 13:30. This will be a hybrid session so you can attend in-person (B32, R2097) or online. Refreshments will be available for in-person attendees.

The session will be a joint session with Solent ReproducibiliTea on reproducibility, open science, and artificial intelligence (AI). Discussion will be focused on this article: Is AI leading to a reproducibility crisis in science? by Philip Bell published in Nature in December 2023

If you would like to attend, please complete this form



  Follow Southampton ReproducabiliTea on twitter @ReproTeaSoton

Please note: the Southampton UKRN & ReproducabiliTea teams are not a Library initiative, they draw members from all areas of the University and the Research Data team in the Library supports its endeavours (and not just because we like tea and cake!).


What is ReproducibiliTea?

ReproducabiliTea is an international ECR-led journal club initiative that helps young researchers create local Open Science groups that discuss issues, papers and ideas to do with improving science. For more information see the ReproducabiliTea Wiki pages and for more information about ReproducibiliTea Journal Clubs.. ReproducibiliTea is part of the UK Reproducibility Network. You can follow them on Twitter for updates @ReproducibiliT or @ukrepro

The sessions are open to anybody interested in robust research practice, reproducibility, replication, open science, and transparency. In each session, we will discuss a paper relating to one of these themes.

We will also have guest speakers running seminars about reproducibility and open science practice.

You can join our Microsoft Teams group by emailing one of the team members whose contact details are above. This is the best way to be part of the Southampton ReproducibiliTea community (or communiTea, if you please!) and stay up to date with when our sessions are running.

Useful courses for better scientific practice

These courses have been discussed in the Southampton ReproducabiliTEA sessions:

ReproducabiliTea has been running at Southampton since autumn 2019.

16/09/2019 A Manifesto for reproducible science
01/10/2019 False Positive Psychology
01/11/2019 Measuring the Prevalence of Questionable Research Practices with Incentives for Truth Telling
11/11/2019 Estimating the Reproducibility of Psychological Science
12/12/2019 Is the Replicability Crisis Overblown? Three Arguments Examined
13/10/2020 The strengths and costs of being a reproducible researcher
28/10/2020 Does your ten-year-old code still run?
12/11/2020 Reproducibility practices in industry research & development and collaborative projects
24/11/2020 A constructivist perspective on replication in qualitative research
09/12/2020 Structuring your statistical code
15/12/2020 12 things I wish I knew before Christmas (about reproducibility)

Reproducibility in the natural environment: looking at the reproducibility issues in ecological research
Reading: O’Grady (2020) -

17/02/2021 An integrative framework for planning and conducting Non-Interventional, Reproducible, and Open Systematic Reviews (NIRO-SR)
Reading: Topor, Pickering et al. (2020)
04/03/2021 Seven Steps Toward Transparency and Replicability in Psychological Research
Reading: Lindsay (2020) -
16/03/2021 Transparency and reproducibility in artificial intelligence research
Reading: Haibe-Kains et al. (2020) - /
31/03/2021 Biological variation and reproducibility in lab-based animal experiments.
Reading: Voelkl and Würbel (2020) - Biological variation and reproducibility (YouTube) and Voelkl et al. (2020) -


How scientists fool themselves and how they can stop. A Psychological perspective on reproducibility.

Reading: Nuzzo (2015) -


UKRN joint session: Reproducibility for ECRs.

Reading: llen and Mehler (2019) -


Checking the reproducibility of your code: CODECHECK

Reading: Nüst and Eglen (2021) -


A discussion with journal editors.


Turning the tables: A university league-table based on quality not quantity.

Reading: Barnett and Moher (2019) -


Enhancing reproducibility for computational methods

Reading: Stodden et al. (2016) -

07/10/2021 Computational reproducibility
Reading: Epistemic Issues in Computational Reproducibility: Software as the Elephant in the Room
19/10/2021 Joint Southampton ReproducibiliTea and UKRN meeting
Reading: Barriers to reproducibility: misalignment of career incentives and open science best practices

Teaching research transparency

Reading: Teaching research transparency in psychological science

16/11/2021 Reproducibility and transparency in writing research
02/12/2021 Open science in archaeology
Reading: Open science in archaeology
01/02/2022 Introduction to reproducible methods in research software
Reading Derek Feichtinger (2018) Reproducible Research and Software Development Methods for Management tasks
16/02/2022 A Philosophical assessment of the reproducibility crisis
Reading: Hudson, R. Should We Strive to Make Science Bias-Free? A Philosophical Assessment of the Reproducibility Crisis. J Gen Philos Sci 52, 389–405 (2021).
03/03/2022 Research reproducibility in Educational Psychology
Reading Hunter Gehlbach & Carly D. Robinson (2021) From old school to open science: The implications of new research norms for educational psychology and beyond, Educational Psychologist, 56:2, 79-89, DOI: 10.1080/00461520.2021.1898961
15/03/2022 Open science saves lives: lessons from the Covid-19 pandemic
Reading Besançon, L., Peiffer-Smadja, N., Segalas, C. et al. Open science saves lives: lessons from the COVID-19 pandemic. BMC Med Res Methodol 21, 117 (2021).
30/03/2022 Citation patterns following a strongly contradictory replication result
Reading Citation Patterns Following a Strongly Contradictory Replication Result: Four Case Studies From Psychology - Tom E. Hardwicke, Dénes Szűcs, Robert T. Thibault, Sophia Crüwell, Olmo R. van den Akker, Michèle B. Nuijten, John P. A. Ioannidis, 2021
13/04/2022 How low replicability influences trust in Psychology
Reading Wingen, T., Berkessel, J. B., & Englich, B. (2020). No Replication, No Trust? How Low Replicability Influences Trust in Psychology. Social Psychological and Personality Science, 11(4), 454–463.
06/10/2022 Introduction to ReproducibiliTea & Kinds of Replicability
Kinds of Replicability: Different Terms and Different Functions (Matarese, 2022)
01/11/2022 Open Science for Qualitative Research
Three Steps to Open Science for Qualitative Research in Psychology (Branney et al., 2022)
30/11/2022 A Holistic Approach to Open Science
Promoting Open Science: A Holistic Approach to Changing Behaviour (Robson et al., 2021)
03/12/2022 Access to Research Software
Global Access to Research Software: The Forgotten Pillar of Open Science Implementation (Vermeir et al., 2018)
23/03/2023 Methodology Review Boards
Is my study useless? Why researchers need methodological review boards (Lakens, 2023).
26/04/2023 Being more 'open science
Developing an open science ‘mindset’ (Hagger, 2022)
10/05/2023 Machine learning and reproducibility
Do machine learning platforms provide out-of-the-box reproducibility? (Gundersen, Shamsaliei & Isdahl, 2022)
25/05/2023 p-hacking
An advanced method to streamline p-hacking (Sarstedt & Adler, 2023)
24/11/2023 Open Science Manifesto
'A manifesto for open science' (Munafo et al., 2017)
31/1/2024 Research Culture Initiatives in the UK
Joint session with Southampton UKRN

Reproducibility, open science, and artificial intelligence (AI).
Joint session with Solent ReproducibiliTea. 
Is AI leading to a reproducibility crisis in science? (Philip Bell 2023)