NETI Lab is home to research projects aimed at developing innovative mathematical models and computational tools to better characterize, understand, and anticipate large-scale complex networks and systems.
Teams have become a popular organization form since well-functioning task-focused groups are basic pillars of successful organizations. While there is much interest in contemporary social science in understanding team processes that lead to efficiency, a persistent problem for such type of analyses is the lack of objective and fine-grained sources on real-time group communication, limiting the scope of traditional investigations. We introduce escape rooms as non-interventional social laboratories, unaffected from the typical frailties of conventional experiments and field research. Exploiting this innovative setting, we collect fine-grained data on real-time communications of problem-solving teams. Besides, we explore the wider social embedding of members by questionnaire data that informs us about teams’ composition and social structure. This novel approach and the versatility of the data allows us (1) to integrate the fragmented knowledge on teams by investigating the effects of multiple (compositional, relational and process-related) predictors on team success; (2) to portray a nuanced, complex picture of problem-solving group behavior by measuring how teams’ collaboration network evolves in time of task performance. This research aims to advance the new science of teams' by taking an integrative perspective and focusing on the network micro-mechanisms that allow us to treat teams as dynamic, adaptive, task-performing systems.