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
- lee@eshcc.eur.nl
More information
Work
- L. E.A. Braden, Ju Hyun Park & Jay Lee (2024) - Symbolic association networks: A case study of orchestral programming's effect on the reputation of composers - Social Networks, 79, 198-208 - doi: 10.1016/j.socnet.2024.08.001 - [link]
- Ali Ziaee, Jay Lee, Jacco van Sterkenburg & Ivo van Hilvoorde (2024) - Media and representation of others. Can of Iran in the 2020 Tokyo Olympics. - European Journal for Sport and Society - doi: 10.1080/16138171.2024.2345950
- Adina Nerghes, Bob Mulder & Ju Sung Lee (2022) - Dissemination or participation? Exploring scientists’ definitions and science communication goals in the Netherlands - PLoS ONE, 17 (12), 1-29 - doi: 10.1371/journal.pone.0277677 - [link]
- Daniel Trottier, Jay Lee & John D. Boy (2022) - Urban Data Analytics as Research Topic, Method and Ethical Concern - Digital Culture & Society, 7 (2), 311-328 - doi: 10.14361/dcs-2021-070215 - [link]
- A Van der Schelde, Marina Tulin & Jay Lee (2021) - Climate change: Experimental insights on perceptions of online science communication - [link]
- Jay Lee & T Filatova (2019) - Dimension reduction of multivariate outputs of socio-environmental agent-based models - Ecological Complexity, 40 (Part B) - doi: 10.1016/j.ecocom.2018.07.008 - [link]
- A Nerghes & Jay Lee (2019) - Narratives of the refugee crisis: A comparative study of mainstream-media and Twitter - Media and Communication, 7 (2), 275-288 - doi: 10.17645/mac.v7i2.1983 - [link]
- Jay Lee & Amanda Paz Alencar (2019) - Cultural values and context in news narratives: A comparative study of Dutch, Spanish and Irish television news - Mass Communication and Society - [link]
- A Nerghes & Jay Lee (2019) - Shifts in perspectives and positions on Twitter: A socio-semantic study of the European refugee crisis - Poetics. Journal of Empirical Research on Culture, the Media and the Arts
- Jay Lee & AP Alencar (2018) - Cultural values and context in news narratives: A comparative study of Dutch, Spanish and Irish television news
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