Research Interests: Criminology, Quantitative Methods, Policing, Legitimacy of the Law.
Thiago R. Oliveira is a Postdoctoral Researcher at the Centre for Social Investigation and a Research Fellow at Nuffield College. He received his Ph.D. in Social Research Methods from the London School of Economics and Political Science in 2021. At Nuffield, Thiago works with Dave Kirk on a project focused on gun violence in the United States. They are investigating some long-term consequences of exposure to police brutality and gun violence during the life course, as well as the reciprocal relationship between police brutality and gun proliferation in Chicago.
Thiago is a quantitative social scientist working on topics related to criminology and sociology. He is curious about the consequences of police misconduct and aggressive policing strategies, particularly in terms of people’s relationship with the law and the legal institutions. Overall, he uses panel survey data and other kinds of data to investigate the extent to which people lose faith in legal authority when they are repeatedly exposed to police brutality and injustice, especially in high-crime contexts, and is specifically motivated to explore the degree to which this relationship is causal. Topics in which he is particularly interested include the legitimacy of the law and the legal institutions, overpolicing and underpolicing, procedural justice theory and legal cynicism, police stops and aggressive policing strategies, legal socialisation, exposure to (neighbourhood and police) violence, neighbourhood effects, and criminal justice policy. In some previous and ongoing studies, he used longitudinal survey data to investigate the extent to which police misconduct shaped public attitudes towards legal authority, with particular focus on high-crime contexts such as the city of São Paulo, Brazil. Thiago is also very interested in quantitative research methods, especially longitudinal data analysis, causal inference with observational data, measurement, multilevel modelling, spatial data models, and R programming. Thiago's work has apperead in venues such as the Journal of Quantitative Criminology and Law & Society Review.