Research Project Overview and Description
This project explores the intersection of quantitative history, digital humanities, and AI to digitize and interpret historical materials and analyze cultural psychology in early China. By integrating artificial intelligence with computational methods like spatial and social network analysis, the research aims to uncover new insights into historical narratives and human sentiment. The initiative focuses on developing innovative digital practices, including AI-driven historical simulations and game-based systems, to model complex social and cultural processes.
This project explores the intersection of quantitative history, digital humanities, and artificial intelligence to digitize historical materials and analyze cultural psychology in early China. By integrating AI with computational techniques like spatial and social network analysis, the research seeks to uncover new insights into historical narratives and human sentiment. A central focus is the development of innovative digital practices, including AI-driven historical simulations and game-based systems, to model complex social and cultural processes. Through these interdisciplinary methods, the initiative aims to bridge traditional humanities inquiry with modern data science to better understand the evolution of historical minds and societal structures.
Research Outcome
The project is expected to deliver a series of innovative digital methodologies for the study of early Chinese history, specifically through the integration of AI-driven sentiment analysis and spatial modeling. Key outcomes will include the development of a computational framework for digitizing and interpreting historical narratives, as well as the creation of game-based historical simulations to visualize complex social networks and cultural psychology. These deliverables will serve as a pilot for major external grant applications (such as the General Research Fund) and are expected to result in peer-reviewed publications in digital humanities and quantitative history journals. Additionally, the project will contribute to the development of new interdisciplinary teaching materials at the intersection of Arts and Data Science.
About the Researcher
Prof. Yuqi Chen is an Assistant Professor jointly appointed at the Hong Kong Institute for the Humanities and Social Sciences and the Faculty of Arts at the University of Hong Kong. She holds a PhD from Peking University and was a visiting scholar at Harvard University. Her research focuses on the intersection of quantitative history, digital humanities, and AI for the humanities, particularly in using computational methods to digitize and interpret historical materials and analyze cultural psychology in early China.
Fund Source
Staff Seed Fund (pending)
For enquiries
please contact at atlabhku.hk