Faculty of ArtGuo, Xin and Qiang Fu. In press. “The Design and Optimality of Survey Counts: A Unified Framework via the Fisher Information Maximizer.” Sociological Methods & Research. Read More
Fu, Qiang, Yufan Zhuang, Yushu Zhu, and Xin Guo. 2022. “Sleeping Lion or Sick Man? Machine Learning Approaches to Deciphering Heterogeneous Images of Chinese in North America.” Annals of the American Association of Geographers 112(7): 2045-2063. Read More
Fu, Qiang, Jiaxin Gu, Ziqing (Amy) Zeng, David Tindall*. 2022. “A Manifesto for Computational Sociology: The Canadian Perspective.” The Canadian Review of Sociology / Revue canadienne de sociologie 59(2): 200-206. Read More
Fu, Qiang, Yufan Zhuang, Jiaxin Gu, Yushu Zhu, and Xin Guo. 2021. “Agreeing to Disagree: Choosing among Eight Topic-Modeling Methods.” Big Data Research 23(100173): 1-9. Read More
Fu, Qiang, Xin Guo, Sun Young Jeon, Eric Reither, Emma Zang, and Kenneth C. Land. 2021. “The Uses and Abuses of an Age-Period-Cohort Method: On the Linear Algebra and Statistical Properties of Intrinsic and Related Estimators.” Mathematical Foundation of Computing 4(1): 45-59. Read More
Fu, Qiang, Xin Guo, and Kenneth C. Land. 2020. “Optimizing Count Responses in Surveys: A Machine-Learning Approach.” Sociological Methods & Research 49(3): 637-671. DOI: 10.1177/0049124117747302. Read More
Fu, Qiang, Xin Guo, and Kenneth C. Land. 2018. “A Poisson-Multinomial Mixture Approach to Grouped and Right-Censored Counts.” Communications in Statistics – Theory and Methods 47(2): 427-447. DOI: 10.1080/03610926.2017.1303736. Read More
Fu, Qiang, Yufan Zhuang, Jiaxin Gu, Yushu Zhu, Huihui Qin, and Xin Guo. 2019. “Search for K: Assessing Five Topic-Modeling Approaches to 120,000 Canadian Articles.” Proceedings of the 2019 IEEE International Conference on Big Data: 3640-3647. DOI: 10.1109/BigData47090.2019.9006160. Read More
Nelson, Laura K. and Kathrin Zippel. 2021 (online first). “From Theory to Practice and Back: How the Concept of Implicit Bias was Implemented in Academe, and What this Means for Gender Theories of Organizational Change.” Gender & Society. Read More
Nelson, Laura K. 2021 (online first). “Leveraging the Alignment between Machine Learning and Intersectionality: Using Word Embeddings to Measure Intersectional Experiences of the Nineteenth Century U.S. South.” Poetics. Read More
Nelson, Laura K., Derek Burk, Marcel Knudsen, and Leslie McCall. 2021. “The Future of Coding: A Comprehensive Comparison of Hand-Coding and Computer-Assisted Text Analysis Methods.” Sociological Methods and Research 50 (1): 202-237. Read More
Nelson, Laura K. and Brayden G King. 2020. “The Meaning of Action: Linking Goals, Tactics, and Strategies in the Environmental Movement.” Mobilization: An International Quarterly 25 (3): 315–338.
Nelson, Laura K. 2020. “Computational Grounded Theory: A Methodological Framework.” Sociological Methods and Research 49 (1): 3-42. Read More