Cooperative Team Networks Workshop

The exceptionalism of teams suggests there is an expanded potential for moving the boundaries of human achievement forward.  Many observers speculate that the dominance of teams stems in part from their multi-disciplinarity and their ability to assimilate, source, and recombine knowledge and talent (Guimera, Uzzi, Spiro, and Amaral 2005; Uzzi and Spiro 2005; Uzzi, Mukherjee, Stringer, and Jones 2013).  Yet, knowledge about what factors are the primary drivers of success or how these drivers operate remains nascent. This workshop will be the first of its kind to develop a framework for creating formalized theory, metrics and models of team dynamics. Developments in new research areas of team-related inquires in cognitive science (team cognition), industrial and organizational psychology (science of team science),computer science and statistics (science of success), and management (complexity leadership) suggest this topic is ripe for exploration. 

The 1st Workshop on Cooperative Team Networks is timely as trends towards more collaboration and high performance associated with teams suggests new and potent relationship between collaboration, creativity, and impact. One focus area that is critical for predicting, evaluating, and building successful teams is understanding the social processes that lead to wise decision making and high team performance. Teams are organized, either by design or by natural evolution, into structured relationships that are governed by interactions that involve power, influence, and varying degrees of cooperation, control, flexibility, and adaptability. Given this level of complexity, the network science of teams has emerged as a new and important field with unique features. Strong multidisciplinary efforts are needed to build theoretically driven, mathematical models able address the unique considerations and capabilities of teams, including social structure (influence, contagion), cooperative strategies (control, flexibility, adaptability), group mechanisms (shared mental models, distributed decision-making), and shared products (consensus, breakthroughs).