Répare Ta Science
Dans ce podcast, Adrien Fillon et Nathanaël Larigaldie, deux chercheurs en psychologie, discutent les avancées de la méta-science et comment les méthodes scientifiques peuvent aider à réparer la science. Une fois par mois.
Qu'est ce qu'il y avait avant la p-valeur ? – Répare Ta Science
Spoiler, une autre version de la p-valeur. Épisode réalisé à partir de l'article " Before p < 0.05 to Beyond p < 0.05: Using History to Contextualize p-Values and Significance Testing" de Lee Kennedy-Shaffer
Science of Doing Science
A podcast series of the new meta-research lab of UCY « SinnoPSis » with researcher-led discussions on various scientific topics.
The aim of the series is to introduce scientific researchers to the public and to connect science and society, by presenting the latest scientific insights on meta-research, reproducibility, open science and evidence-based policy.
Episode 7: The Strain on Scientific Publishing, with Mark A Hanson, Pablo Gómez Barreiro and Paolo Crosetto – Science of Doing Science
In today's episode, Zach and Adrien interview Mark A. Hanson, Pablo Gómez Barreiro, and Paolo Crosetto to discuss their paper 'The Strain on Scientific Publishing.'
The conversation explores the challenges posed by the exponential growth in academic articles, the pressures of 'publish or perish,' and how publishing models and impact metrics contribute to systemic strain. Tune in to learn about the implications for researchers, publishers, and funders, and potential solutions to create a sustainable academic publishing ecosystem.
For more details, visit the paper's website at https://the-strain-on-scientific-publishing.github.io/website/
- Episode 7: The Strain on Scientific Publishing, with Mark A Hanson, Pablo Gómez Barreiro and Paolo Crosetto
- Science of Doing science 6: A conversation with Renos Vakis
- Episode 5: Economics games, voting behavior and democracy, with Philippos Louis
- Episode 4: Evidence-base communication with Georgios Nikolopoulos
- Episode 3: Mario Gollwitzer fighting for data sharing, META-REP and the improvement of replicability.