Recordings and slides
Links to webinars, presentations, slidedecks
on credibility-related initiatives
Matt Grubb: Sharing data from your in vivo studies
Kaitlyn Hair: Handling your in vivo data
Ulrich Dirnagl: Preregistering your in vivo studies
Esther Pearl: Improving reliability through design and reporting
Natasha Karp: Embracing variation to boost reproducibility
Nadia Soliman: How evidence synthesis can boost in vivo credibility
BNA webinar - Reporting research - 20 August 2020
Slides:
Dr Johan Carlin (University of Cambridge): ‘How statistical power influences expected reproducibility’ (view from 7m 48s)
Dr Guillaume Rousselet (University of Glasgow): 'Registered reports' (view from 27m 25s)
Prof Rik Henson (University of Cambridge and BNA President-Elect):
'Preregistration posters' (view from 43m 10s)
Corpus Curiosum webinar - Credibility in Neuroscience - 16 June 2020
Slides:
Dr Verena Heise (Hanse-Wissenschaftskolleg):
'Credibility in Neuroscience'
Using R workshop - BNA Festival of Neuroscience 2021
Speakers:
Simon White (MRC Biostatistics Unit, UK) - R introduction (philosophy, syntax, data structures, etc)
Athanasia Mowinckel (University of Oslo, Norway) - R for visualisation (plots, graphics, etc)
Delia Fuhrmann (Kings College London, UK) - R for basic stats (t-tests, anovas, general linear model, linear mixed effects models, etc)
Rogier Kievit (Donders Instittue at Radboud University, The Netherlands) - R for multivariate stats (factor analysis, structural equation modelling, etc)
Rik Henson (MRC Cognition and Brain Sciences Unit, UK) - R for Bayesian analysis (brief introduction to Bayes factors, sequential designs)
Credibility in Neuroscience prize winners discussion - BNA Festival of Neuroscience 2021
Speakers:
Marta Topor (University of Surrey, UK) - Shaping research culture around credible and collaborative practices: a bottom-up approach.
Amy Orben (University of Cambridge, UK) - Not just black and white: Reflections on teaching good scientific practices.
Malcolm Macleod and Kaitlyn Hair from CAMARADES (University of Edinburgh, UK)
Credibility in Neuroscience discussion - FENS Virtual Forum 2020
Speakers:
Dorothy Bishop (University of Oxford): 'Cognitive biases can lead to poor reproducibility and replicability of science' (view from 2:20)
Ben Bleasdale (Wellcome): 'Improving Research Culture' (view from 11:10)
Tanita Casci (University of Glasgow): 'Glasgow University & increasing the credibility of research' (view from 21:40)
Peter Stern (Science): 'What can publishers do to support credibility in Neuroscience?' (view from 33:10)
Round table discussion, moderated by Rik Henson (view from 46:00)
Credibility Prize winners
Matthew Grubb - individual researcher Credibility Prize winner
Nathalie Percie du Sert, NC3Rs - team Credibility Prize winner, on behalf of the Experimental Design Assistant development team