Jason Yip is an Associate Professor at the Information School and an adjunct assistant professor in the Department of Human-Centered Design and Engineering at the University of Washington. His research examines how technologies can support parents and children learning together. He is a co-principal investigator on a National Science Foundation Cyberlearning project on designing social media technologies to support neighborhoods learning science together. He is the director of KidsTeam UW, an intergenerational group of children (ages 7 – 11) and researchers co-designing new technologies and learning activities for children, with children. Dr. Yip is the principal investigator of a Google Faculty Research Award and a senior research fellow at the Joan Ganz Cooney Center at Sesame Workshop. He holds a B.A. (2001) in chemistry and M.S.Ed (2002) in science and math education from the University of Pennsylvania, and a Ph.D. (2014) in curriculum and instruction from the University of Maryland.
Proceedings of the 2025 ACM Conference on Human Factors in Computing Systems (CHI 2025). Acceptance rate: 25%.
Best paper honorable mention (top 5%)
In Proceedings of the 2024 ACM Conference on Designing Interactive Systems (DIS 2024). Acceptance rate: 27%.
Proceedings of the 2023 ACM conference on human factors in computing systems (CHI 2023).
Best paper award (top 1%)
Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2):1-39, 2021.
Proceedings of the 20th annual ACM conference on interaction design and children (IDC 2021). Acceptance rate: 36%.
Proceedings of the 2020 ACM conference on human factors in computing systems (CHI 2020). Acceptance rate: 24%.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 4(1):1-23, 2020.
Proceedings of the ACM on Human-Computer Interaction, CSCW, 3:78(1-22), 2019.
Proceedings of the 13th annual ACM conference on tangible, embedded, and embodied interactions (TEI 2019). Acceptance rate: 34%.
Proceedings of the 2019 ACM conference on human factors in computing systems (CHI ’19), 73:1-15. Acceptance rate: 23%.
Proceedings of the 2019 ACM conference on human factors in computing systems (CHI 2019). Acceptance rate: 23%.
Proceedings of the 2017 ACM Conference on Human Factors in Computing Systems (CHI 2017). Acceptance rate: 25%.