e-ReproNim: A shared approach to teaching open and reproducible neuroimaging
e-ReproNim makes use of the physical distance that separates the partners in the Cluster to demonstrate reproducibility in practice and formulate recommendations for a better practice of neuroimaging. Students on our respective NENS MSc/PhD programmes will work together throughout the academic year, remotely, on a joint curriculum of activities, and present their work at an online conference and BrainHack at the end of the year. All material produced by the Cluster will be made available on the project’s website. The Cluster is part of the wider e-ReproNim Community of Practice, which is the European chapter of the global movement, repronim.org.
The e-ReproNim consortium comprises 3 NENS school programmes:
a. The MSc in Cognitive Neuroscience at the University of Reading (UK) takes a skills-first approach to teaching research in cognitive neuroscience: broadening the experience and expertise acquired by our students, and responding to modern concerns of employers in terms of research, computing and data skills. The MSc is a 1y programme, hosted in the School of Psychology and Clinical Languages Science and the Centre for Integrative Neuroscience and Neurodynamics, at the University of Reading.
b. The MSc in Cognitive Science at Nicolaus Copernicus University in Toruń (PL) combines teaching in psychology, informatics, mathematics, biology, philosophy and social communication and media sciences, to provide students with the skills to undertake interdisciplinary research projects. Taught entirely in English, the MSc is a 2y programme, as part of the Polish “Excellence Initiative – Research University” investment programme.
c. The Neuroscience postgraduate programmes in the Swiss Lemanic region include the MSc in Neurosciences at the University of Geneva, the EPFL PhD Program in Neuroscience (EDNE) and the Lemanic Neuroscience Doctoral School (LNDS). Partner in the Cluster is the Methods & Data facility of the Fondation Campus Biotech Geneva (CH), which contributes to the teaching of core computational skills and their use in neuroimaging research in all three programmes. The curriculum is grounded in open and reproducible approaches and offered to both Master and PhD students