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.
Social Classification and Structural Inequality
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 structural inequality.
Publications
2025
"Threatening for whom? National boundary-making, immigration, and support for the welfare state"
Triguero Roura, Mireia
European Sociological Review
paper
code
"Inequality on Top of the Hill: Race, Pay, and Representation Among Congressional Staff"
Jones, James J. & Triguero Roura, Mireia
Socius
paper
code
2023
"Visualizing Beliefs in Biological Racial Difference and Ordering across Europe"
Triguero Roura, Mireia
Socius
paper
2022
"Racism without race: Reconstructing race through culture in Spanish social-science textbooks"
Triguero Roura, Mireia
Ethnic and Racial Studies
paper
Under Review
2026
"Colorblind ethnocentrism: How ancestry and race continue to define Western national identities"
Triguero Roura, Mireia
Revise & Resubmit — American Journal of Sociology
preprint
"The Market for a Criminal Record"
Reich, Adam & Triguero Roura, Mireia
Under Review
Related teaching: Social Inequality · Social Psychology · Research Design
Computational Social Science
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. I also study how Large Language Models are used in the healthcare context.
Publications
2023
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers
Jiang, Julie; Dotsch, Ron; Triguero Roura, Mireia; Liu, Yozen; Silva Souza, Vitor; Bos, Maarten; Barbieri, Francesco
ACM CHI Conference on Human Factors in Computing Systems
paper
Working Papers
Am I addicted? Evaluating LLMs' responses to self-diagnosis queries
Triguero Roura, Mireia et al.
The Ties that Bound: Online Pictorial Communication Reveals Cultural Boundaries in the World
Triguero Roura, Mireia et al.
Social media, language, and politics: What language do people use to make arguments about undocumented immigrants?
Triguero Roura, Mireia
preprint
code
Related teaching: Computational Social Science · Data Science · Statistics · Causal Inference
Substance Use, Health, and Social Policy
My applied research investigates how social environments, policy, and inequality shape substance use and treatment access across populations.
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.
Publications
Cannabis screening and discussions with clinicians among older adults in the US, 2021–2023
Mauro, Pia; Triguero Roura, Mireia; Carey, Elsa; Han, Benjamin H.
American Journal of Preventive Medicine
paper
2025
Trends in cannabis use disorder and treatment by race and ethnicity, 2002–2019
Triguero Roura, Mireia; Vora, Aabha; Eschliman, Evan; Mauro, Pia
Frontiers in Psychiatry
paper
Under Review
2026
"Past-Month Tobacco and Cannabis Co-Use Among Adults Ages 65 and Older in the United States, 2021-2023"
Fahey, Margaret; Vora, Aabha; Gutkind, Sarah; Solomon, Haley; Triguero Roura, Mireia; Han, Benjamin; Mauro, Pia
Revise & Resubmit — American Journal of Gerontology
preprint
2026
Cannabis use and cannabis use disorder among older adults in the United States
Han, Ben H.; Eschliman, Evan L.; Palamar, Joseph J.; Triguero Roura, Mireia; Mauro, Pia
Under Review
Related teaching: Health & Society · Quantitative Methods · Policy Analysis