【Lecture Notice】The Development of Hybrid Intelligence in the Public Sector
Time:2026-05-12       

Fudan-LSE Lecture Series No.88


Title

The Development of Hybrid Intelligence in the Public Sector


Speaker

Prof. Helen K. Liu, Taiwan University


Host

Prof .Yijia Jing, IGPP


Discussant

Assoc. Prof. Ziteng Fan, IGPP

Assis. Prof. Wenjia Song, IGPP


Time

12:00-13:20, May 15, Friday, 2026


Venue

Room 805E, 8th Floor, West Sub-building of Guanghua Towers


https://v.wjx.cn/vm/tc805N5.aspx#



The Speaker:


Prof. Helen K. Liu

Helen K. Liu is a Professor & Chair of Political Science at the Taiwan University. She received a Ph.D. in public administration from Indiana University-Bloomington in 2009 and a BA in economics from the University of Texas-Austin. She was awarded the Yushan Young Fellow Program and the Ministry of Science and Technology Outstanding Research Award. She also serves as the Director of the NTU Center for Collective Intelligence. Her research has been published in PAR, GIQ, AJPA, and P&I, focusing on hybrid intelligence, crowdsourcing, and public engagement. She serves as an Associate Editor of Government Information Quarterly and on the editorial board of Public Administration.


Abstract:

With increasing government focus on Artificial Intelligence (AI) and Collective Intelligence (CI), the connection between the two still needs further exploration. This presentation aims to explore the dynamic relationship between the two to build hybrid intelligence in the public sector. Our overview clarifies the intersection of the two, revealing how AI design can leverage crowdsourced intelligence input to improve efficiency. Simultaneously, the development of AI also depends on the quality of collective intelligence data. Furthermore, our overview highlights key areas such as smart cities (IoT), personnel, social media, and governance through case studies. We elaborate on the components of hybrid intelligence design. Finally, we use case studies to illustrate issues related to the design, regulation, and governance of hybrid intelligence in the public sector.