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Hong Qu is an Adjunct Lecturer in Public Policy at Harvard Kennedy School, teaching courses on data visualization. He also serves as a research fellow at the Malcolm Wiener Center for Social Policy. Hong was one of the first engineers on YouTube’s startup team, building key features like video sharing, channels, and skippable ads. He participated in the 2019 Assembly Program organized by the Berkman Klein Center for Internet & Society at Harvard, working with a team of data scientists and civil society leaders to produce AI Blindspot – a discovery process for spotting unconscious biases and structural inequalities in AI systems. Hong is a PhD candidate at the Network Science Institute at Northeastern University.
At this session of Data + Donuts, Hong will speak about his research on social media misinformation discourse.
This event will be held in a hybrid format. Register to receive a link to join via Zoom. In-person attendees can join us in Wexner 434, which is wheelchair/scooter accessible with accessible restrooms available. Those without an HUID may enter via the Wexner security desk.
Data + Donuts features researchers and practitioners speaking about how they use data in their work, and on issues of data and society. We welcome those from the HKS community and beyond to share knowledge, discussion, and donuts. Explore the full list of past speakers. Video recordings are available upon request.
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