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


In order to provide you with the best online experience this website uses cookies. By using our website, you agree to our use of cookies. More Info.
×
Share by: