Jun Zhao
Biography
I am a Senior Researcher in the Department of Computer Science at Oxford University. My research focuses on investigating the impact of algorithm-driven decision makings upon our everyday lives, with a particular emphasis on families and young children. For this, I take a human-centred approach, focusing on understanding real users' needs, in order to design technologies with tangible, real-world impacts.
Currently, I am leading the KOALA project and the EWADA project. I work closely with schools, children, families as well as technologists for children, to understand the technological, societal and regulatory challenges that we are facing, to inform national and international policymakers, technology designers and families.
I have recently been serving in the IEEE P2089 Age Appropriate Digital Services Framework Working Group and the CDEI Online Safety Data Initiative Expert Group. I was part of the 100 Brilliant Women in AI and Ethics global initiative 2019-20, to promote diversity and equality in this critical research area.
For further information about my research activities, latest outputs and invited talks please see my external web page.
Recent awards
- ConPro’23 BEST PAPER: Before and after China’s new data laws: privacy in apps
- CHI'23 BEST PAPER: Treat me as your friend, not a number in your database
- CHI'23 HONORABLE MENTION: 12 Ways to Empower: Designing for Children's Autonomy
- CSCW'23 HONORABLE MENTION: ‘Don’t make assumptions about me!’: Understanding Children’s Perception of Datafication Online
- CSCW'23 RECOGNITION AWARD: ‘Don’t make assumptions about me!’: Understanding Children’s Perception of Datafication Online
- CHI'22 HONORABLE MENTION: Informing Age−Appropriate AI: Examining Principles and Practices of AI for Children.
Selected Publications
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Navigating the Data Avalanche: Towards Supporting Developers in Developing Privacy−Friendly Children’s Apps
Anirudh Ekambaranathan‚ Jun Zhao and George Chalhoub
In Proceedings of the ACM on Interactive‚ Mobile‚ Wearable and Ubiquitous Technologies (IMWUT 2023). June, 2023.
Details about Navigating the Data Avalanche: Towards Supporting Developers in Developing Privacy−Friendly Children’s Apps | BibTeX data for Navigating the Data Avalanche: Towards Supporting Developers in Developing Privacy−Friendly Children’s Apps | Download (pdf) of Navigating the Data Avalanche: Towards Supporting Developers in Developing Privacy−Friendly Children’s Apps | DOI (10.1145/3596267)
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"You are you and the app. There’s nobody else.": Building Worker−Designed Data Institutions within Platform Hegemony
Jake Stein‚ Vidminas Vizgirda‚ Max Van Kleek‚ Reuben Binns‚ Jun Zhao‚ Rui Zhao‚ Naman Goel‚ George Chalhoub‚ Wael Albayaydh and Nigel Shadbolt.
In 2023 CHI Conference on Human Factors in Computing Systems (CHI 2023). April, 2023.
Details about "You are you and the app. There’s nobody else.": Building Worker−Designed Data Institutions within Platform Hegemony | BibTeX data for "You are you and the app. There’s nobody else.": Building Worker−Designed Data Institutions within Platform Hegemony | Download (pdf) of "You are you and the app. There’s nobody else.": Building Worker−Designed Data Institutions within Platform Hegemony | DOI (10.1145/3544548.3581114)
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Call for a new data governance structure for datafied childhood
Jun Zhao
2022.
Details about Call for a new data governance structure for datafied childhood | BibTeX data for Call for a new data governance structure for datafied childhood | Link to Call for a new data governance structure for datafied childhood