Team Performance Dynamics in Complex Engineering Projects - Data and Analytics Insights

Explore team performance dynamics in complex engineering projects through data and analytics in this 37-minute conference talk from Big Data Analytics Tokyo 2017. Learn about the Global Teamwork Lab (GTL) framework, developed jointly by the University of Tokyo and MIT, which addresses technical and social complexities in cross-boundary team collaborations. Discover how real-time analysis of people and problem sensors can enhance team awareness, interaction, and actions. Examine the integrated "meso-scale sociotechnical systems" approach, combining instrumentation, analytics, modeling, and visualization to process data within human cognitive limits. Gain insights from recent GTL experiments and the new Interactive Visualization Lab at MIT, offering innovative perspectives on improving team performance in challenging industrial and societal projects.

Dai Ike, Global Project Design Japan, at Big Data Analytics Tokyo 2017