Interdisciplinary Analysis for Human Group Dynamics Jesus Mario Serna1,*, Mark McCann2, Andrew Christian3, Danilo Liuzzi4, Gaetano Dato5, Justin Williams6, Lorraine Sugar7, Sina Tafazoli8 1 Université Paris 7, USPC, Recherches en Psychanalyse, Paris, France 2 University of Glasgow, UK 3 NASA Langley Research Center, USA 4 University of Milan, Milan, Italy 5 University of Trieste, Italy 6 University of North Texas, USA 7 University of Toronto, Department of Civil Engineering, Toronto, Canada 8 Princeton University, USA *
[email protected] ABSTRACT There are still considerable breaches between purely qualitative and quantitative approaches in many working models for group dynamics in psychology and social sciences. We argue that an interdisciplinary approach may help bridge these gaps towards more integrative models. We ran a discussion group based on the Operative Group Model (OGM), using a complex systems approach to reinterpret its dynamics, and applied network theory as well as thematic discourse analysis (DA). Finally, we consider the potential advantages of performing an acoustic analysis on the audio recordings from the group sessions. To our knowledge, this integrative approach has never been applied in the context of an OGM. In this study we provide two main levels of analysis: the participant’s personal and group experience, and the experimentation and analysis methods’ aspect. For the former, we gather data from group theory in psychology, psychoanalysis, the OGM, and the participants’ feedback. We then use DA and a bipartite graph identifying weighted “thematic nodes” as a research framework. Finally we explore possible ways to incorporate an acoustic analysis, notably implementing a Hidden Markov Model (HMM).