Many valuable insights embedded in scientific publications are siloed and rarely reaching those who could benefit from them. This contributes to the so-called research-practice and research-public gaps, impedes the diffusion of innovation, undermines evidence-informed decision-making, and deepens the disconnect between science and society. In this talk, I will share findings from my research group’s work on translational science and research communication. I will present findings on barriers that prevent the successful adoption of research insights into design practice, and explore how generative AI might help bridge this divide by transforming how research is communicated and disseminated to support evidence-informed decision making.
| 11:45am - 12:15pm: | Food and community socializing. |
| 12:15pm - 1:15pm: | Presentation with Q&A. Available hybrid via Zoom. |
| 1:30pm - 2:15pm: | Student meeting with speaker, held in CSE2/Gates 371. Students will walk to this from the seminar. |
Gary Hsieh is a Professor in the Department of Human Centered Design & Engineering (HCDE) and an Adjunct Professor in the Paul G. Allen School of Computer Science & Engineering at University of Washington. Using a blend of skills in engineering and expertise in social sciences, he studies and designs technologies to help people improve their lives and their societies. He has received multiple best paper rewards and honorable mentions for research published at top tier HCI conferences. He received his PhD from the Human-Computer Interaction Institute at Carnegie Mellon University and his BS in Electrical Engineering and Computer Science at University of California, Berkeley. He is a recipient of the NSF Career Award and was a Fulbright Scholar at National Tsing Hua University’s Institute of Service Science. He was the General Co-Chair of the 25th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2022).