Computational Social Science Lab
Innovating at the Intersection of Social Science and Data
Welcome to the Computational Social Science (CSS) Lab at Shibaura Institute of Technology! We are a dynamic research group dedicated to unraveling the complexities of human behavior and societal dynamics. Our core mission is to forge a powerful synergy between established social science theories and cutting-edge computational methodologies. By leveraging advanced data science techniques―including machine learning, large language models (LLMs), intricate network analysis, and sophisticated social simulations―we delve deep into complex social phenomena to uncover meaningful insights. The ambition to understand society through rigorous, data-informed methods has been a cornerstone of social science since its inception. Today, fueled by unprecedented access to vast digital datasets and powerful analytical tools, our field stands at an exhilarating frontier. At the CSS Lab, we embrace this opportunity, recognizing that true innovation emerges from the thoughtful integration of diverse perspectives. We are committed to fostering an interdisciplinary and experimental environment where social scientists, data scientists, engineers, and thinkers from all backgrounds can collaborate, challenge conventions, and co-create knowledge.

- Faculty Name
- YANG, Kunhao
- Keyword
- Computational Social Science,Machine Learning,Nature Language Processing,Graph Neural Network,Network Analysis,Bayesian Network
- Laboratory location
- No.4 Building OMIYA Campus 5F 4507-1
This lab is for this SDG activity:
STUDY FIELDS
- Data Science
- Machine Learning
- Political Science
- Media Study
- Journalism
FOR SOCIETY
Our research isn't confined to academic journals; we are passionate about translating our discoveries into tangible applications that address pressing real-world challenges. We explore critical areas such as the formation of collective opinions on platforms like Yahoo! News and Wikipedia, the evolution of popular culture through analysis of media like manga and YouTube trends, the ethical and effective application of large language models to accelerate social inquiry, and the development of foundational machine learning techniques and large-scale datasets to empower the wider research community. Whether you are a prospective student eager to develop advanced research skills, a potential collaborator with a shared vision, or an industry partner seeking innovative solutions, we invite you to connect with us. Explore our research, meet our team, and discover how you can be part of our journey to a deeper understanding of the social world.
RESEARCH THEMES
- Understanding Social Dynamics and Information Flow in the Digital Age
- Modeling the Evolution of Popular Culture
- Harnessing Large Language Models for Social Insights
- Advancing Social Research with Machine Learning and Data Science