Founded in May 2015, the Center for Data Governance at Tsinghua University is dedicated to advancing interdisciplinary research and education by integrating the social sciences, data science, and computational science. The Center promotes the comprehensive development and application of government open data, socio-economic data, and social media data. With a distinctive emphasis on computational social science, its research agenda is structured around three core dimensions: governance of data, governance for data, and governance through data. By engaging with both academic frontiers and practical challenges, the Center focuses on the systematic collection, analysis, and interpretation of large-scale data to support the modernization of national governance and socio-economic development.
Aligned with cutting-edge academic developments and national strategic priorities, the Center organizes interdisciplinary research teams to undertake major projects. It brings together experts from a wide range of fields, including social sciences, public administration, economics and management, law, journalism, computer science, and architecture. The Center conducts forward-looking research, provides policy consultation, and trains professionals to support the digital transformation of governance. It has developed notable academic and policy influence in key areas such as data governance, digital government, data legislation, and intelligent social governance.
The Center’s research outputs have been submitted to central and local governments through national and Beijing municipal high-end think tank platforms, as well as through policy briefs related to Beijing’s “Respond Immediately to Public Appeals” reform initiative. These outputs have received formal endorsements and written instructions from Party and state leaders, as well as from provincial- and ministerial-level officials, on more than 20 occasions, and have been adopted by relevant authorities. Collectively, they provide substantive support for the development of digital government, the governance of data as a production factor, and the refinement of governance in mega-cities.