dr. (Jay) JS Lee

dr. (Jay) JS Lee
Assistant professor Erasmus School of History, Culture and Communication Department of Media and Communication
Location
Burg. Oudlaan 50, Rotterdam
Room
M8-43
Email
lee@eshcc.eur.nl

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**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.

 

  • Jay Lee, N Basov & A Antoniuk (2017) - A socio-semantic account of artistic communities: Structural position and involvement in meaning making
  • Jay Lee, R van Duinen & T Filatova (2015) - Micro and Macro Spatial Networks in Two Contexts: Collaboration and Interpersonal Risk Communication
  • A Nerghes, Jay Lee, P Groenewegen & I Hellsten (2014) - Shifting Discourses of the ECB and the Fed
  • Jay Lee & J Pfeffer (2014) - Approximating Network Measures for Large Scale Networks of Varying Size, Density, Typologies, and Sampling Levels.
  • Jay Lee & J Pfeffer (2014) - Measurement Accuracy in Samples of Online Communication Network
  • Jay Lee & K Carley (2013) - The Impact of Data Source Type on the Analysis of Extracted Semantic Networks

  • Jay Lee & AP Alencar (2018) - Cultural values and context in news narratives: A comparative study of Dutch, Spanish and Irish television news
  • Jay Lee & A Nerghes (2018) - Structure and content on Twitter: The case of the European Refugee Crisis
  • Jay Lee, N Basov & A Antoniuk (2016) - Community leaders and followers: Linkages between semantic content and social structure in art groups

  • A Nerghes & Jay Lee (2018) - The refugee/migrant crisis dichotomy on Twitter: A network and sentiment perspective

Bachelor Thesis

Level
BA-3
Year
2021
Year Level
BA-3
Course Code
CM3050

Bachelor Thesis Class

Level
BA-3
Year
2021
Year Level
BA-3
Course Code
CM3051

Introduction to Statistical Analysis

Year
2021
Year Level
BA-1, Pre-master, Pre-master, Pre-master, Pre-master
Course Code
CM1005

Research Master Seminar

Year
2021
Year Level
MA-1, MA-2
Course Code
CS5015A

Digital Media Analysis

Year
2021
Year Level
BA-2, BA-3
Course Code
CM2029

Digital Research Methods

Year
2021
Year Level
MA, MA-2
Course Code
CM4104

Digital research methods for textual dat

Year
2021
Course Code
ISS-EGSH-EXGS067

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