We examine the performance of teams on a sequence of tasks. The first part of this research examines the changes in social influence networks resulting from repeated tasks. The second part explores team adaptivity using methods from computational learning and data-driven optimization.
Thrust 2 Tasks:
- Analyzing the interpersonal influences on task sequences and evolving networks
Lead: Friedkin- Group performance along a task sequence
- Task types and group performance along a task sequence
- Learned adaptations of influence networks along a task sequence
- Learning and optimizing dynamic team behavior
Lead: Bullo- Learning and optimization along task sequences
- Learning for dynamic teams along task sequences
