Data science is a new paradigm to analyze large-scale data produced from social systems, natural phenomena, and experiments. Data science shows great potentials in various fields of study.
IBS Data Science Group at the Center for Mathematical and Computational Sciences (established on January 1st, 2019) focuses on problems in computational social science, which can have a huge impact on 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.
Our group will conduct multi-disciplinary research for solving future social problems based on state-of-the-art data science research methodologies and artificial intelligence (AI). Some of the problems that we cover include the following:
- Developing algorithms to detect fake news and reduce its spread.
- Investigating interpretable AI methods by learning perception biases.
- Modeling human behavior using deep learning of heterogeneous data.
- Predicting spikes and crisis events through natural language processing and image analysis.