Module 10: Network Science of Teams

Faculty Contact: Francesco Bullo and Ambuj Singh

Research Areas:

Abstract: As a part of this module, students will explore the structure of tasks and teams and how their interrelationship can be modeled using networks. Tasks can make very different demands on people and groups. The categorization and annotation of tasks leads to a similarity network of tasks. What are the existing theories for defining the semantics of tasks? How about tasks that require a team? How can this modeling be done for decomposable subtasks?

Among the multitude of possible coordination and control structures for large groups, four prototypical structures (Liaison, Bridging Ties, Ridging Ties, and Comembership) are studied. There is currently no literature on comparative analyses of these models; in other words, we have an extremely limited understanding on the performance outcome of these different structures. This work eventually aims to gain an understanding on how to rank-order them to achieve optimal performance and efficiency in task management.

Active Quarters:

  • Fall 2016: Alex Jones and Shadi Mohagheghi
  • Winter 2016: Haleigh Wright and Yi Ding
  • Fall 2015: Axel Haaker and Raphael Melendez-Rios