Chief InvestigatorCHA Meeyoung
Advancing data- and AI-driven research and leading computational social science
B249, IBS Center for Mathematical and Computational Sciences (Data Science Group), 55 EXPO-ro, Doryong-dong, Yuseong-gu, Daejeon (34126)
CI Meeyoung Cha
Prof. Meeyoung Cha is a Chief Investigator in the Data Science Group at the IBS Pioneer Research Center for Mathematical and Computational Sciences (since January 2019) and an Associate Professor in School of Computing at KAIST. She is a prominent young researcher in the field of computational social science, where her research interest is in modeling complex human social systems using big data. Her research focuses on developing AI-driven data science methods, such as detection of fake news, used in the analysis of complex social computing systems. She has been actively collaborating with global research groups including MPI-SWS, United Nations Pulse Lab, and Facebook Data Science Team.
Multi-disciplinary research for solving future social problems based on state-of-the-art data science research methodologies and artificial intelligence (AI)
Data science is a new paradigm to analyze large-scale data produced from social systems, natural phenomena, and experiments. Data science shows great potentials on various fields of study. The data science group at the Pioneer Research Center for Mathematical and Computational Sciences focuses on problems in computational social science, which can have a huge impact for future societies. In particular, we will contribute to developing state-of-the-art methodologies for handling large-scale, heterogeneous data via deep learning and AI.
We will strive to advance the data science research field via developing new ways of computing that goes beyond the limits of current machine learning and deep learning. Through research, we expect to provide a better understanding of the complex human-socio systems by suggesting qualitative data analysis methods to interpret large scale heterogeneous data. Furthermore, the development of new methodologies will contribute on tackling social issues for the future society such as fake news, filter bubble, and insomnia by building and applying AI-driven data science methodologies.
|Korean/ International||16(Korean), 5(International)|
As of December. 2019
2017년 12월 31일 기준