My research combines sociology, computational social science, and health science to study how social cognition and institutional structures shape behavior and inequality. Using causal inference, advanced statistics and machine learning, I investigate processes ranging from identity formation and communication to substance use and health policy outcomes.
Across projects, I focus on developing computational and statistical approaches that connect social theory with empirical measurement and policy-relevant applications.
This line of research examines how individuals construct social categories such as race, nation, and belonging, and how these perceptions translate into political attitudes and institutional inequality.
2026. Triguero Roura, Mireia. “Colorblind ethnocentrism: How ancestry and race continue to define Western national identities.” Revise & Resubmit at American Journal of Sociology. [preprint]
2026 (Under Review). Reich, Adam and Mireia Triguero Roura. “The Market for a Criminal Record.”
2025. Triguero Roura, Mireia. “Threatening for whom? National boundary-making, immigration, and support for the welfare state.” European Sociological Review. [link] [code]
2025. Jones, James J. and Mireia Triguero Roura. “Inequality on Top of the Hill: Race, Pay, and Representation Among Congressional Staff.” Socius. [paper] [code]
2023. Triguero Roura, Mireia. “Visualizing Beliefs in Biological Racial Difference and Ordering across Europe.” Socius. [link]
2022. Triguero Roura, Mireia. “Racism without race: Reconstructing race through culture in Spanish social-science textbooks.” Ethnic and Racial Studies. [link]
Related teaching: Social Inequality, Social Psychology, Research Design
My methodological work develops computational and statistical tools to study social interaction, communication, and decision-making in large-scale behavioral data. This research integrates machine learning, natural language processing, and causal inference to analyze digital social environments.
2022. Jiang, Julie, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vitor Silva Souza, Maarten Bos, Francesco Barbieri. “Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers.” Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI ’23). [link]
Triguero Roura, Mireia. “Am I addicted? Evaluating LLMs' responses to self-diagnosis queries.”
Triguero Roura, Mireia, Maarten Bos, Francesco Barbieri, Julie Jiang, Yozen Liu, and Ron Dotsch. “The Ties that Bound: Online Pictorial Communication Reveals Cultural Boundaries in the World.”
Triguero Roura, Mireia. “Social media, language, and politics: What language do people use to make arguments about undocumented immigrants?” [link] [code]
Related teaching: Computational Social Science, Data Science, Statistics, Causal Inference
My applied research investigates how social environments, policy, and inequality shape substance use and treatment access across populations. Working at the intersection of sociology and epidemiology, I study how institutional and legal contexts influence health outcomes.
Note: The publications listed below are associated with an R01 project. Middle senior authors on these papers were collaborators on the R01 and contributed primarily through editing, reviewing, and discussion, rather than leading the analyses or conceptualization.
2026 (Under review). Han, Ben H., Evan L. Eschliman, Joseph J. Palamar, Mireia Triguero Roura, Pia M Mauro. “Cannabis use and cannabis use disorder among older adults in the United States.”
2026. Mauro, Pia, Mireia Triguero Roura, Elsa Carey, Benjamin H. Han. “Cannabis screening and discussions with clinicians among older adults in the US, 2021–2023.” American Journal of Preventive Medicine. [link]
2025. Triguero Roura, Mireia, Aabha Vora, Evan Eschliman, Pia Mauro. “Trends in cannabis use disorder and treatment by race and ethnicity, 2002–2019.” Frontiers in Psychiatry. [link]
Related teaching: Health & Society, Quantitative Methods, Policy Analysis