Project lead: Anh-Ton Tran (Georgia Tech, School of Interactive Computing)

Advised by: Carl DiSalvo (Georgia Tech, School of Interactive Computing)

This project combines design, theory, and ethnography to explore how data is created and circulated through the eviction process, the harm that data causes, and the ways activists and residents can document, resist, and design against unjust housing policy with data. 

Reading List

2024 Publications include:

• Anh-Ton Tran and Carl Disalvo. 2024. Counting Up: Designing Agonistic Data Collection in the Court Room. In Proceedings of the 2024 ACM Designing Interactive Systems Conference (DIS ’24). Association for Computing Machinery, New York, NY, USA, 3257–3271. https://doi.org/10.1145/3643834.3661616 (Best Paper Award)
• Anh-Ton Tran, Annabel Rothschild, Kay Kender, Ekat Osipova, Brian Kinnee, Jordan Taylor, Louie Søs Meyer, Oliver L. Haimson, Ann Light, and Carl Disalvo. 2024. Making Trouble: Techniques for Queering Data and AI Systems. In Companion Publication of the 2024 ACM Designing Interactive Systems Conference (DIS ’24 Companion). Association for Computing Machinery, New York, NY, USA, 381–384. https://doi.org/10.1145/3656156.3658393
• Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Andrew Chan, Elora Lee Raymond, and Carl Disalvo. 2024. Situating Datasets: Making Public Eviction Data Actionable for Housing Justice. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI ’24). Association for Computing Machinery, New York, NY, USA, Article 767, 1–16. https://doi.org/10.1145/3613904.3642452