Webinar // The challenges of data reproducibility 

The reproducibility crisis expresses the difficulties encountered by scientists in reproducing research results.  

It was at the turn of the 2000s that a resurgence of these difficulties was observed within the scientific community (2005 John P.A. Ionnidis). This crisis, still present today, has led scientists to question their practices in terms of integrity, openness and management of research data and scientific productions.  

Gabriel Bayle, PhD in Economic Science and member of the Groupe d'Analyse et de Théorie Économique (GATE, CNRS, Université Lumière Lyon 2), is an active campaigner for greater reproducibility of research results, notably through the practice of replicating and opening up data, pre-registering studies, and using experimental protocols.

As part of UM's Open Science policy, the UM Research Support Team is launching a series of webinars for the scientific community.

With a short format (20 to 40 min presentation, followed by time for discussion), these workshops will alternate between theoretical contributions and practical demonstrations on Open Science, scientific publications and research data.