Login / Signup

Meet-U: Educating through research immersion.

Nika AbdollahiAlexandre AlbaniEric AnthonyAgnes BaudMélissa CardonRobert ClercDariusz CzerneckiRomain ConteLaurent DavidAgathe DelauneSamia DjerroudPauline FourgouxNadège GuiglielmoniJeanne LaurentieNathalie LehmannCamille LochardRémi MontagneVasiliki MyrodiaVaitea OpuuElise PareyLélia PolitSylvain PrivéChloé QuignotMaria Ruiz-CuevasMariam SissokoNicolas SompairacAudrey VallerixViolaine VerrecchiaMarc DelarueRaphael GuéroisYann PontySophie Sacquin-MoraAlessandra CarboneChristine FroidevauxStéphane Le CromOlivier LespinetMartin WeigtSamer AbboudJuliana Silva BernardesGuillaume BouvierChloé DequekerArnaud FerréPatrick F J FuchsGaëlle LelandaisPierre PoulainHugues RichardHugo SchwekeElodie LaineAnne Lopes
Published in: PLoS computational biology (2018)
We present a new educational initiative called Meet-U that aims to train students for collaborative work in computational biology and to bridge the gap between education and research. Meet-U mimics the setup of collaborative research projects and takes advantage of the most popular tools for collaborative work and of cloud computing. Students are grouped in teams of 4-5 people and 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 in competition 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 research seminars. This very unique combination of education and research is strongly motivating for the students and provides a formidable opportunity for a scientific community to unite and increase its visibility. We report on our experience with Meet-U in two French universities with master's students in bioinformatics and modeling, with protein-protein docking as the subject of the course. Meet-U is easy to implement and can be straightforwardly transferred to other fields and/or universities. All the information and data are available at www.meet-u.org.
Keyphrases
  • quality improvement
  • high school
  • protein protein
  • healthcare
  • small molecule
  • mental health
  • minimally invasive
  • machine learning
  • molecular dynamics
  • big data