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Filiz Garip

Professor of Sociology and Public affairs
125 Wallace Hall
External website:


Filiz Garip is a sociologist. Her work lies at the intersection of migration, economic sociology, and inequality. Within this general area, she studies the mechanisms that enable or constrain mobility and lead to greater or lesser degrees of social and economic inequality. For more information, please visit her personal site:

Recent Work

  • Lisa Thalheimer, Nicolas Choquette-Levy, and Filiz Garip. 2022. “Compound impacts from droughts and structural vulnerability on human mobility.” iScience. DOI:10.1016/j.isci.2022.105491.
  • Mario Molina+, Nancy Chau, Amanda D. Rodewald, and Filiz Garip. 2022. “How to model the weather-migration link: a machine-learning approach to variable selection in the Mexico-US context.” Journal of Ethnic and Migration Studies. DOI:10.1080/1369183X.2022.2100549
  • Jake M. Hofman, Duncan J. Watts, Susan Athey, Filiz Garip, Thomas L. Griffiths, Jon Kleinberg, Helen Margetts, Sendhil Mullainathan, Matthew J. Salganik, Simine Vazire, Alessandro Vespignani and Tal Yarkoni. 2021. “Integrating explanation and prediction in computational social science.” Nature 595(7866): 181-188.
  • Lucas G. Drouhot and Filiz Garip. 2021. “What’s behind a racial category? Uncovering heterogeneity among Asian Americans through a data-driven typology.” Russell Sage Foundation Journal of the Social Sciences 7(2): 22-45.
  • Linda Zhao and Filiz Garip. 2021. “Network diffusion under homophily and consolidation as a mechanism for social inequality.” Sociological Methods and Research.
  • Filiz Garip. 2020. “What the failure to predict life outcomes can teach us.” Proceedings of the National Academy of Sciences 117(15): 8234-8235. (Commentary on Salganik et al. “Measuring the predictability of life outcomes with a scientific mass collaboration.”)
  • Mario Molina and Filiz Garip. 2019. “Machine Learning for Sociology.” Annual Reviews of Sociology 45: 27-45.