dr. (Jay) JS Lee

Biography

**Ju-Sung (Jay) Lee is an Assistant Professor in the Department of Media and Communication at Erasmus University Rotterdam. **

His research interests lie at the nexus of social, communication, and semantic networks.  He is heavily involved with accompanying methodologies such as statistics, network analysis, computer-aided text analysis, computational social science, and other digital methods.  His publications have appeared in network and methodology journals such as Sociological Methodology, Computational Social Networks, Connections, and the Journal of Artificial Societies and Social Simulation.  He is currently interested in textual discourse from organizations, media, and the public, pertaining to events of societal tension such as the recent financial crisis and the refugee crisis, and the associations between discourse structures and social and organizational behavior and networks.

Ju-Sung obtained his doctorate in quantitative sociology from Carnegie Mellon University in 2008.  His dissertation explored methods of inferring adolescent social networks and substance use from national sample datasets in the United States.  He also has a background in computer science (BSE, Princeton University) and organization and decision sciences (MS, Carnegie Mellon University).

Prior to joining the department, he was a postdoctoral researcher at the University of Twente's Department of Governance and Technology for Sustainability (CSTM) where he was involved in an NWO project titled “Digging into Data”, part of an international collaboration with universities in the U.S., Canada, and the U.K.  There, he explored visualization and dimension reduction techniques for large multivariate outcomes arising from complex, computational agent-based models.

Before moving to the Netherlands, he was a research associate and postdoctoral researcher at the Center for Computational Analysis of Social and Organizational Systems (CASOS) at Carnegie Mellon University where he explored methodological issues surrounding networks, including digital communication, and delivered lectures and workshops on networks, text analysis, and computational social science.

 

Erasmus School of History, Culture and Communication

Assistant professor | Department of Media and Communication
Email
lee@eshcc.eur.nl

More information

Work

  • Jay Lee (2022) - Digital Culture & Society (Journal)

Roaming the Digital World

Level
MA
Year Level
MA
Year
2024
Course Code
CM4104

Introduction to Statistical Analysis

Year Level
BA-1, Pre-master, Pre-master, Pre-master, Pre-master
Year
2024
Course Code
CM1005

Digital Media Analysis

Year Level
BA-2, BA-3
Year
2024
Course Code
CM2029

Master Thesis

Year Level
MA, MA, MA, MA, MA
Year
2024
Course Code
CM5000

Master Thesis Project

Year Level
MA, MA, MA, MA, MA
Year
2024
Course Code
CM5050

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