[행사/세미나] [글로벌융합학부] UCLA 주정석 교수 특강 안내
글로벌융합학부에서는 아래와 같이 UCLA 주정석 교수님 (전 Facebook - Research Scientist) 특강을 개최하오니,
관심 있는 학생들의 많은 참여 바랍니다.
- 일시: 10월 7일 (월) 15:00 ~ 16:00
- 장소: 국제관 9B313호
- 강연자: Professor 주정석 교수 (UCLA)
- 주제: Detecting Social Events and Political Beliefs from Social Media Images
Advanced machine learning and scalable data analytic methods have been increasingly adopted by social science researchers in the recent literature. While the majority of existing approaches in computational social science rely on numeric, network or text data, recent studies have also demonstrated that computer vision can be applied to automatically analyze visual content data in social and mass media and facilitate quantitative investigations in many areas. Such methods dramatically enlarge the scale and scope of data analysis and open up new opportunities to social science researchers. In this talk, I will discuss recent developments of computational approaches to these research questions using three topics: (1) detecting social movements and measuring protester and state violence in protest events; (2) predicting political ideology from Facebook photographs posted by legislators; and (3) measuring dataset bias and developing a new face dataset with a balanced race composition. These studies demonstrate the utility of computer vision and show how it can relate to the broad areas in social sciences.
Jungseock Joo is an assistant professor in Communication and an affiliated assistant professor in Statistics at University of California, Los Angeles. His research primarily focuses on understanding multimodal human communication with computer vision and machine learning based methods. In particular, his research employs various types of large scale multimodal media data such as TV news or online social media and examines how multimodal cues in these domains relate to public opinions and real world events. His research has been supported by National Science Foundation, Hellman Foundation, and UCLA Faculty Career Development Award. He received Ph.D. in Computer Science from UCLA, M.S. in Computer Science from Columbia University, and B.S. in Computer Science and Engineering from Seoul National University. He was a research scientist at Facebook prior to joining UCLA in 2016.