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Journal Articles PLoS Computational Biology Year : 2018

Meet-U: educating through research immersion

Agnes Baud
  • Function : Author
  • PersonId : 1029016
Dariusz Czernecki
Laurent David
  • Function : Author
  • PersonId : 1369389
  • IdRef : 200154982
Jeanne Laurentie
Rémi Montagne
Elise Parey
Violaine Verrecchia
Yann Ponty
Pierre Poulain

Abstract

We present a new educational initiative, called Meet-U, that aims at training students to collaborativework in computational biology and at bridging the gap between education and research.Meet-U mimics the set up of collaborative research projects and takes advantage of the most populartools for collaborative work and of cloud computing. Students are grouped in teams of 4-5 peopleand have to realize a project from A to Z that answers a challenging question in Biology.Meet-U promotes "coopetition", as the students collaborate within and across the teams and are also incompetition with each other to develop the best final product.Meet-U fosters interactions between different actors of education and research through the organization of a meeting day, open to everyone, where the students present their work to a jury of researchers and jury members give researchseminars. This very unique combination of education and research is strongly motivating for thestudents and provides a formidable opportunity for a scientific community to unite and increase itsvisibility. We report on our experience with Meet-U in two French universities with master studentsin bioinformatics and modeling, with protein-protein docking as the subject of the course.Meet-U is easy to implement, virtually costs nothing and can be straightforwardly transferred to other fieldsand/or universities. All the information and data are available at http://www.meet-u.org.
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hal-01722019 , version 1 (03-10-2018)

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Nika Abdollahi, Alexandre Albani, Eric Anthony, Agnes Baud, Mélissa Cardon, et al.. Meet-U: educating through research immersion. PLoS Computational Biology, 2018, 14 (3), pp.1-10. ⟨10.1371/journal.pcbi.1005992⟩. ⟨hal-01722019⟩
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