Laura Nelsonمشاهده پروفایل
دانشیار
Laura Nelson is an Associate Professor in the Department of Sociology at the University of British Columbia and Director of the Centre for Computational Social Science. She specializes in computational sociology, social movements, gender studies, and intersectionality, employing text analysis, machine learning, and network methods to study organizational inequality, STEM equity, and historical activism. Education: PhD (2014) - University of California, Berkeley MA (2009) - University of California, Berkeley BA (2006) - University of Wisconsin-Madison (Phi Beta Kappa) Her research spans feminist movements, environmental activism, and computational methods, with a focus on combining quantitative analysis with qualitative interpretation. Current projects include studying gender-equity idea diffusion in higher education networks (funded by an NSF grant), analyzing social movement media coverage, and developing frameworks for computational grounded theory. Key publication trends reveal interdisciplinary work across gender studies , computational social science , historical sociology , and organizational equity . Articles frequently utilize machine learning , text mining , and network analysis to examine intersectionality , activism cycles , and institutional change . Scientific Awards: Best Meta-Reviewer, 12th International Conference on Social Informatics (2020) Outstanding Faculty of the Year at Northeastern University (2020) As a methodological innovator, she has advised graduate students like Jinyang Yu and developed courses on Python/R for social scientists, computational text analysis, and sociological theory. Her work appears in journals such as American Sociological Review , Signs , and Social Science Quarterly , with replication repositories available on GitHub and Zenodo.









