Open Science and Corporate Power Under Digital Capitalism
Li, Zhuofan. ``Open Science and the Transformation of Corporate Power Behind the Global AI Industry’’ Book manuscript in progress.
Li, Zhuofan. 2024. “When Being a Data Annotator Was Not Yet a Job: The Laboratory Origins of Dispersible Labor in Computer Vision Research.” Socius 10:23780231241259617. DOI: 10.1177/23780231241259617.
Living Through Inequality in Time and Space
Li, Zhuofan, Daniel Dohan, and Corey Abramson. 2026. “Temporal Misalignment and Unequal Agency: What Terminal Cancer Patients Teach Us about Time and Inequality.” Forthcoming in American Sociological Review.
Rethinking Qualitative Methods in the Age of AI
Abramson, Corey, Tara Prendergast, Zhuofan Li, and Daniel Dohan. 2026. “Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation.” Forthcoming in Annual Review of Sociology. Preprint: https://arxiv.org/abs/2509.12503.
Li, Zhuofan, and Corey M. Abramson. 2025. “Ethnography and Machine Learning.” Pp. 245–72 in The Oxford Handbook of the Sociology of Machine Learning, edited by Christian Borch and Juan Pablo Pardo-Guerra. Oxford University Press. DOI: 10.1093/oxfordhb/9780197653609.013.36.
Abramson, Corey M., Zhuofan Li, Tara Prendergast, and Martín Sánchez-Jankowski. 2024. “Inequality in the Origins and Experiences of Pain: What ‘Big (Qualitative) Data’ Reveal about Social Suffering in the United States.” The Russell Sage Foundation Journal of the Social Sciences: RSF 10(5):34–65. DOI: 10.7758/RSF.2024.10.5.03.
Li, Zhuofan, Daniel Dohan, and Corey M. Abramson. 2021. “Qualitative Coding in the Computational Era: A Hybrid Approach to Improve Reliability and Reduce Effort for Coding Ethnographic Interviews.” Socius 7:23780231211062345. DOI: 10.1177/23780231211062345.