SCS Special Seminar

  • Gates Hillman Centers
  • ASA Conference Room 6115
  • Assistant Professor
  • Computer Science and Engineering Department
  • University of Minnesota, Twin Cities

From Discovery to Design: Creating AI Technologies to Support Massive-Scale Online Collaboration

The development of Internet technologies creates virtual spaces where people all over the world can interact around a shared purpose. Internet-based platforms such as Wikipedia, Facebook, Airbnb, and Uber have transformed the way people connect, communicate, collaborate, work, and live. These platforms also enable collaboration and coordination at unprecedented scales. In my work, I conduct two types of research activities: 1) “Discovery” – wherein I integrate different research methods, including machine learning, log data analysis, and controlled experiments, to produce a clear description and causal understanding of how activities are managed on large online platforms, and then 2) “Design” – in which I combine in-depth empirical understanding with design methods to create innovative AI technologies to support massive-scale collaboration and coordination on these platforms and to evaluate their effectiveness and impact in the real world. In this talk, I will illustrate my approaches to research, discuss my transition from discovery to design, and discuss my ongoing work and future directions.

Haiyi Zhu is an assistant professor in the Computer Science and Engineering Department at the University of Minnesota, Twin Cities. Her research focuses on (1) integrating different research methods to produce clear descriptions and causal understandings of large Internet-based platforms, and (2) designing AI tools and services to support management activities on large Internet-based platforms. She holds a B.S in Computer Science from Tsinghua University and an M.S. and a Ph.D. in Human-Computer Interaction from Carnegie Mellon University. She has received an NSF CRII award as well as several paper awards in venues such as CHI, CSCW, and Human Factors, and an Allen Newell Award for Research Excellence. She has also taken on major service roles in the community, serving as the general co-chair of HCIC, program committee members for CHI and CSCW, and the acting editor for an HCI Journal Special Issue on unifying AI and HCI.    

Faculty Host: Laura Dabbish (HCII)

For More Information, Please Contact: