<aside> 👋🏼 Hi there! I’m a data science researcher, currently pursuing a PhD in Social Data Science at the Oxford Internet Institute. I research relationships between data access, social justice, AI accountability, data privacy and governance.

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<aside> ✉️ Connect juliette[dot]zaccour[at]oii[dot]ox[dot]ac[dot]uk LinkedIn BlueSky GitHub

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Jump to: Projects

CV

Research areas

Human-Centered Computing

Privacy-Enhancing Technologies

Algorithm Auditing

Human-Computer Interaction

Technical AI Governance

Education

• PhD student in Social Data Science 2023-2026 — Oxford Internet Institute, University of Oxford 🇬🇧
• Master in Information 2021-2023 — Faculty of Information, University of Toronto 🇨🇦
• Bachelor of Arts 2017-2020 — Faculty of Arts, McGill University 🇨🇦

Publications

• Juliette Zaccour, Reuben Binns, and Luc Rocher. 2025. Access Denied: Meaningful Data Access for Quantitative Algorithm Audits. In CHI Conference on Human Factors in Computing Systems (CHI ’25), April 26-May 1, 2025, Yokohama, Japan. ACM, New York, NY, USA, 30 pages. https: //doi.org/10.1145/3706598.3713963 — Honorable Mention Award 🏆
• Jessica Pater, Shaan Chopra, Jeanne Carroll, Juliette Zaccour, Fayika Farhat Nova, Tammy Toscos, Shion Guha, and Fen Lei Chang. 2024. Charting the COVID Long Haul Experience - A Longitudinal Exploration of Symptoms, Activity, and Clinical Adherence. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI’24). Association for Computing Machinery, New York, NY, USA, Article 131, 1–21. https://doi.org/10.1145/3613904.3642827

Experience

• Teaching Assistant for MSc course Fairness, Accountability and Transparency in ML University of Oxford, UK — January-March 2024
• Graduate Researcher *Human-Centered Data Science Lab, University of Toronto — January 2022 - June 2023*
• Research Student Toronto Human-AI Research School — Summer 2022