Thrust 2: Analysis and models of dynamic team behavior

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

 

Affiliated Faculty

Postdoctoral Fellow
University of Pennsylvania

Co-PI
Center for Control, Dynamical Systems and Computation
University of California, Santa Barbara
Research: Control theory, Multi-agent networks, Robotic coordination, Power systems

Department of Electrical and Computer Engineering
University of California, Santa Barbara

Co-PI
Keck School of Medicine
University of Southern California
Research: Social networks, systems science, social psychology, health promotion and disease prevention, health disparities

Co-PI
Department of Sociology
University of California, Santa Barbara
Research: Social psychology, social networks, and mathematical sociology

Co-PI
Center for Collective Intelligence
Massachusetts Institute of Technology
Research: Organizational design, information technology, and leadership.
 

Postdoctoral Researcher
ETH Zurich

Department of Electrical and Computer Engineering
University of California, Santa Barbara

Postdoctoral Fellow
Harvard Business School

Co-PI
Kellogg School of Management
Northwestern University

Research Assistant Professor
Kellogg School of Management
Northwestern University

Department of Computer Science
University of California, Santa Barbara