Recordings and slides

     Recordings and slides


Links to webinars, presentations, slidedecks
on credibility-related initiatives


Webinars

Credibility Lunchbox series - neuroimaging

Etienne Roesch - Research Data Management in neuroimaging


Cyril Pernet - Data privacy in neuroimaging


Roni Tibon - Preregistration in neuroimaging


How can we shift research culture to drive Credibility in Neuroscience?


Rik Henson - Opening up (Cognitive) Neuroscience

Check out our prereg poster toolkit

Credibility Lunchbox series - in vivo neuroscience

Matt Grubb: Sharing data from your in vivo studies

Check out our in vivo toolkit

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

Check out our in vivo toolkit

Credibility Lunchbox series: in vitro neuroscience

Check out our in vitro toolkit

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)

Check out our toolkit on prereg & Registered Reports

Corpus Curiosum webinar - Credibility in Neuroscience - 16 June 2020

Slides:

Dr Verena Heise (Hanse-Wissenschaftskolleg): 'Credibility in Neuroscience'


Events

The change-makers (and how to keep up with them) - BNA Festival of Neuroscience 2023


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


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