Seminar: Responsible Social Computing for Smart City

Time: 12 PM- 1 PM, Oct 27 (Thursday)

Location: Langford A, Room 212 (Adams Presentation Room)


Advances in artificial intelligence (AI) and ubiquitous social data are securing a bright future for smart cities. It is challenging and imperative to ensure such a future to be responsible with more transparency, fairness, sustainability, and inclusiveness. Recently, Responsible Computing has been becoming critical in academia, industry, and government. For example, early this year, ACM announced the ACM Journal on Responsible Computing, and CMU launched Responsible AI Initiative. In this talk, Yunhe will first share his understanding of Responsible Computing from multiple perspectives. Then he will present: (1) how big social data enables the investigation of the emerging microtransit (e.g., shared e- scooters), large-scale human mobility, and work-from-home engagement during the COVID-19 pandemic; and (2) how open data facilitates transparent, less-biased, and timely decision making by exploring and merging multiple lenses empowered by census data, search index data, and social media data. Finally, Yunhe will conclude his presentation by sharing his thoughts on the research opportunities and challenges of responsible social computing for smart cities.


Yunhe Feng is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where he directs the Responsible AI Lab. Before joining UNT, he was a Postdoctoral Fellow/Scholar at the University of Washington (2020 – 2022) and received a Ph.D. in Computer Science at the University of Tennessee, Knoxville, in 2020. His research interest lies in Responsible AI, Mobile Security and Privacy, and Social Media. Yunhe research has received several awards, including a Best Paper Award by IEEE BigDataSecurity and two Best Paper/Presentation Nominations by IEEE CloudCom and ACM UbiComp. His research has been covered internationally by news outlets, including Financial Times, Business Insider, Yahoo! Finance,