Jiawei Zhang

Jiawei Zhang

Data Science Ph.D. student focusing on LLMs and causal inference.

Publications

Journal Articles

Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment

Published in Journal of the American Statistical Association (Theory and Methods), 2025

Introduces imputation-assisted randomization tests and covariate adjustments for design-based causal inference with missing outcomes.

Recommended citation: Heng, S.*; Zhang, J.*; Feng, Y. (2025). “Design-based causal inference with missing outcomes: missingness mechanisms, imputation-assisted randomization tests, and covariate adjustment.” Journal of the American Statistical Association (Theory and Methods). (co-first authors).
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Conference Papers

From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990–2021

Published in The Web Conference (WWW) 2025, 2025

Examines three decades of publication data to trace how computational social science has converged across disciplines.

Recommended citation: Bao, H.*; Zhang, J.*; Cao, M.*; Evans, J. (2025). “From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990–2021.” The Web Conference (WWW) 2025. (co-first authors).
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