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URMC-CTSI Networking Rhythm Badge Analysis

Team Members

Yumeng Xi
Haizhu Yang
Tianyou Xiao
Ziyu Song

Supervisors

Ajay Anand, PhD, Georgen Institute of DSC, University of Rochester; Pedro (P.J.) Fernandez, MBA, Simon Business School and the Goergen Institute for DSC, University of Rochester

Customers

Martin S. Zand, MD, PhD, CTSI, UR Medical Center; Robert White, MS, CTSI, UR Medical Center

Description

In this project, we want to apply DSC and machine learning techniques to identify and analyze group communication and interaction patterns from the data collected, e.g. “Who interacts with whom” and “Who attended which breakout sessions”, which can function as an indicator of team performance, group intelligence and meeting efficiency. We can further use the information to increase the productivity of Un-meetings by modifying related elements.

Project Poster

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