Open Science and Corporate Power Under Digital Capitalism
Open Science and the Transformation of Corporate Power Behind the Global AI Industry. Book manuscript in progress.
“When Being a Data Annotator Was Not Yet a Job: The Laboratory Origins of Dispersible Labor in Computer Vision Research.” Socius 10:23780231241259617.
Living Through Inequality in Time and Space
“Temporal Misalignment and Unequal Agency: What Terminal Cancer Patients Teach Us about Time and Inequality.” (with Daniel Dohan and Corey Abramson). Forthcoming in American Sociological Review.
Machine Learning for Network, Text, Image, and Geospatial Data
“Embedding-Based Synthetic Control for Causal Inference in Dynamic Networks.” (with Eunsung Yoon). Forthcoming in Social Networks.
Rethinking Qualitative Methods in the Age of AI
“Qualitative Research in an Era of AI: A Pragmatic Approach to Data Analysis, Workflow, and Computation.” (with Corey Abramson, Tara Prendergast, and Daniel Dohan). Forthcoming in Annual Review of Sociology.
“Ethnography and Machine Learning.” (with Corey Abramson). 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.
“Inequality in the Origins and Experiences of Pain: What ‘Big (Qualitative) Data’ Reveal about Social Suffering in the United States.” (with Corey Abramson, Tara Prendergast, and Martín Sánchez-Jankowski). RSF: The Russell Sage Foundation Journal of the Social Sciences 10(5):34–65.
“Qualitative Coding in the Computational Era: A Hybrid Approach to Improve Reliability and Reduce Effort for Coding Ethnographic Interviews.” (with Daniel Dohan and Corey Abramson). Socius 7:23780231211062345.