|Centre de Recherche Interdisciplinaire
|2:00 pm - 3:00 pm
|Paris-Rennes Room (EIT Digital)
In this talk, we will present our recent work investigating criteria of performance and success of teams in a scientific context using a quantitative approach. We leverage electronic laboratory notebooks edited on wiki websites by over 2,000 teams of students participating to the international Genetically Engineered Machines (iGEM) synthetic biology competition over 10 years to uncover what features of team work best predict short term quality (medals, prizes) and long term impact (how the biological parts that teams engineer are re-used by other teams). Using insights from the wiki commits (~1,000 per team), we unravel universal aspects of team dynamics and team collaborative patterns underlying iGEM team work. Finally, by studying teams that
participated multiple times we exhibit mechanisms of collective learning underlying performance improvement. We will finish the talk by introducing our ongoing ‘IGEM TIES’ project conducted at the CRI Paris, where we are mapping temporal, high-resolution team interaction networks using a bluetooth app.