Javier Cha is Associate Professor of East Asian Studies in the College of Liberal Studies and the principal investigator of the Big Data Studies Lab at Seoul National University. During the 2020-21 academic year, he is on sabbatical leave as Digital Historian-in-Residence in the Department of History at Lingnan University. As a practitioner of the digital humanities since 2008, he was formerly a Stanford DHAsia Fellow and helped design the digital humanities minor program at Leiden University. The inspiration for big data studies came from a conference trip to Seattle in 2016, during a conversation with his childhood friend who is now a senior engineer with sixteen years of experience in the cloud industry.
Javier is a medieval historian of Korea with programming background. He divides his research time across translating a fifteenth-century Korean text from literary Sinitic to English, building a Neo4j database of medieval Korea's yangban aristocrats, and engaging in experimental humanities projects that propose solutions to the challenges posed by big data.
Yennie Jun is a M.Sc. candidate in Social Data Science at Oxford University. Her research interests include web archives, long-term preservation technologies, and fairness and bias in AI systems. Yennie has been an active member of the Big Data Studies Lab since October 2019.
Jacob Reidhead is a Postdoctoral Fellow at National Chengchi University in Taiwan. He received his Ph.D. degree in Sociology from Stanford University in 2020 with a dissertation that examines the structural dynamics of political organization and discourse in South Korea and Taiwan. Dr. Reidhead has contributed his expertise in network sociology, topic modeling, and semantic analysis to the Big Data Studies Lab since September 2020.
Juyeon Kim is an B.A. student in the College of Liberal Studies at Seoul National University, pursuing a double major in Business Administration and Philosophy. Her research interests include the philosophy of time, caching technologies, real-time computing, and network society. Juyeon has been an active contributor to the Big Data Studies Lab since October 2019.
Nabanita Dash is a B.Tech. student in Computer Science at the International Institute of Information Technology in Bhubaneswar, India. Nabanita's wide-ranging research interests include machine learning, digital forensics, encryption, and differential privacy. She has been an active member of the Big Data Studies Lab since January 2021.
Ezrah Huong is a B.A. student in Korean Studies at the University of Copenhagen. Ezrah has contributed Danish and Norwegian research materials about big data energetics in the Nordic region to the Big Data Studies Lab since January 2021.
Nadja Nielsen is a B.A. student in Korean Studies at the University of Copenhagen. Nadja has contributed Danish and Norwegian research materials about big data energetics in the Nordic region to the Big Data Studies Lab since January 2021.
Maximilian Rix is a B.A. student in Korean Studies at the University of Copenhagen. Max has contributed Danish and Norwegian research materials about big data energetics in the Nordic region to the Big Data Studies Lab since January 2021.
Sofie Holmboe is a B.A. student in Korean Studies at the University of Copenhagen. She joined the Big Data Studies Lab in February 2021 to pursue her interest in the cultural analytics of K-pop using Spotify and Melon APIs.
Eugene Jang is a Ph.D. candidate at the Annenberg School for Communication and Journalism at the University of Southern California. Her research interests include big data surveillance, data doubles, and digital contact tracing. During her stay at the Big Data Studies Lab from October 2019 to August 2020, Eugene designed and led a project on biocitizenship and Covid-19 contact tracing using newspaper data from the United States, South Korea, Taiwan, Hong Kong, and Singapore.
Robin Wooyeong Na
Robin Wooyeong Na is a predoctoral fellow at the Laboratory for Social Minds at Carnegie Mellon University. Robin is a physicist with a strong interest in complex systems and social data. He contributed his expertise in network analysis to the Big Data Studies Lab from December 2020 to February 2021.
Matthew J. Connelly
Professor, Department of History, Columbia University
Director, History Lab, Columbia University
Academic Technology Specialist, Stanford University
Professor, Graduate School of Data Science, Seoul National University
Former Senior Vice President, SAP
Professor, The Graduate Center, City University of New York
Director, Cultural Analytics Lab
Gimena del Rio Riande
Director, Laboratorio de Humanidades Digitales HD CAICYT Lab
University Lead Research Computer Scientist for the Digital Humanities, University of Chicago
Scott B. Weingart
Director, Navari Family Center for Digital Scholarship, University of Notre Dame