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Dr. Lin is an ethnographer and information scientist interested in data and computing practices, expertise, and labor of the environment in Southeast Asia and the United States. Her research has been published in the Association for Computing Machinery Conference on Human Factors in Computing Systems (ACM CHI), Computer-Supported Cooperative Work & Social Computing (ACM CSCW), ACM Proceedings of the Participatory Design Conference (ACM PDC), and AAAI/ACM Conference on AI, Ethics, and Society, among others.
Dr. Lin's teaching focuses on computer science classes at the undergraduate and graduate levels, featuring topics such as human-computer interaction, cultures and ethics of technology, and environmental expertise and governance. Dr. Lin's teaching incorporates active learning, consistent feedback, and real-world case studies for both graduate and undergraduate students.
1. Tanmaie Kaliash and Cindy Lin. Localized Imaginaries, Global Assets: Sociotechnical Imaginaries and the Assetization of Data Centers in Singapore. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, (2026, conditionally accepted).
2. Cindy Lin, Lynn Dombrowski, Shaowen Bardzell. “Whose, Which, and What Crisis? A Critical Analysis of Crisis in Computing Supply Chains.” In Proceedings of the 6th Decennial ACM Aarhus Conference, 2025. https://doi.org/10.1145/3744169.3744179
3. Cindy Kaiying Lin and Steven J. Jackson. “From Bias to Repair: Error as a Site of Collaboration and Negotiation in Applied Data Science Work.” In Proceedings of the ACM Human-Computer Interaction (CSCW), 2023. https://doi.org/10.1145/3579607