About
Hong Qu is an Adjunct Lecturer in Public Policy at Harvard Kennedy School and a Research Fellow at the Malcolm Wiener Center for Social Policy. He earned his education from Wesleyan University and UC Berkeley's School of Information, and is currently a PhD candidate at Northeastern University's Network Science Institute.
His research intersects Data Visualization, Artificial Intelligence, and Public Policy. He specializes in translating complex data into accessible visual narratives for policymakers, particularly through tools like the Metroverse project for urban economic analysis.
Hong's recent publications focus on ethical AI systems and user-centered design in policy contexts. His work emphasizes interdisciplinary methodologies that bridge technology and governance.
- Scientific Awards
- Stanford Center for Comparative Studies in Race and Ethnicity fellowship
- Visiting Nieman Fellow at Harvard University, 2013
He teaches courses on data visualization and advanced techniques (DPI-851M, DPI-852M) at Harvard Kennedy School. His external engagements include consultancy roles at Mohammed VI Polytechnic University, advisory board membership at the Joint Center for Political and Economic Studies, and speaking engagements at the United Nations.
