Thrust 1: Teams as networks of interacting entities

Building upon our recent, widely-cited work on collective intelligence, we view teams as semantically-labeled, multilevel networks with attributes on nodes, edges, and subgroups. Through experiments for validation, we develop models of team performance: both statistical models using networks and fine-grain models of information flows. We then examine the relationship between influence networks and collective intelligence on task performance, as we consider the robustness and optimization of teams.

Thrust 1 Tasks:

  • Develop conceptual models for teams and tasks
    Lead: de la Haye
  • Develop statistical and content-based models
    Lead: Singh
    • Discovering discriminative characteristics for team performance
    • Statistical models of performance
    • Assured prediction
    • Relating information flow to team performance
  • Examine relationship of group performance and influence networks
    Lead: Friedkin
    • Combinatorial collective intelligence
    • Combinatorial influence networks
    • Group performance on task types
  • Develop models for the robustness and optimization of teams
    Lead: Malone

 

 

Affiliated Faculty

Postdoctoral Fellow
University of Pennsylvania

Department of Computer Science
University of California, Santa Barbara

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

Sloan School of Management
Massachusetts Institute of Technology

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

Department of Computer Science
University of California, Santa Barbara

Management Science
Sloan School of Management
Massachusetts Institute of Technology

Teaching Assistant Professor
Department of Psychology
Oklahoma State University

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

Postdoctoral Fellow
Harvard Business School

Department of Computer Science
University of California, Santa Barbara

Principal Investigator
Department of Computer Science 
University of California, Santa Barbara
Research: Network analysis, Data mining, Bioinformatics

Computer Science Department
University of California, Santa Barbara

Co-PI
Kellogg School of Management
Northwestern University

George Vega Yon

Department of Preventive Medicine at Keck School of Medicine
University of Southern California

Research Assistant Professor
Kellogg School of Management
Northwestern University

Department of Computer Science
University of California, Santa Barbara