Welcome to my website!
I am a Ph.D. Student in Political Science at the University of Maryland, College Park. In my dissertation, I propose a insurance model to understand preferences for security in Latin America. I use a combination of formal modeling, experimental methods, and causal inference models to test the empirical implications of the model. Beyond my dissertation, I am currently working in a series of paper about content activation and news sharing on social media. Methodologicaly, I am broadly interested in the application of computational methods to the social sciences, with emphasis on social media data, NLP and machine learning.
Check it out the materials of the workshop I offered this winter in Brazil on Collecting and Analyzing Social Media Data with R (In portuguese, Workshop at The Federal University of Para, Brazil)
Bem-vindo ao meu site!
Sou aluno de doutorado em Ciência Política na Universidade de Maryland, College Park, Estados Unidos. Minha pesquisa foca em economica política comparada e comportamento político. Minha tese propõe um modelo teórico para compreender efeito de desigualdade econômica e victimização em preferencias por políticas de segurança na América Latina. No Brasil, obtive os títulos de Mestrado e Doutorado em Ciência Política no IESP-UERJ. Minha agenda de pesquisa focou-se principalmente em formas de medir efetividade de experiências participativas e partidos politicos, sobretudo o Partido dos Trabalhadores. Tive o privilégio de trabalhar sob coordenação de Thamy Pogrebinschi e Fabiano Santos no Brasil.
Confira neste link os materiais do workshop Acessando dados da web em R que ofertei na minha alma-mater, Universidade Federal do Para.
PhD Student in Political Science
University of Maryland, College Park
PhD and MA in Political Science, 2018
State University of Rio de Janeiro, Brazil
Ba in Law, 2010
Federal University of Para, Brazil
And papers under review
Pre-Prints Available on Request
Voting for Violence: The Election of Law and Order Politicians in Brazil
Dissertation Chapter, In preparation
When do politicians running on a punitive agenda against crime benefit at the polls? Informed by the classic literature on economic models for welfare preferences, I consider a model that predicts voters have redistributive and insurance incentives to vote for tough-on-crime policies. Redistribution plays a role because the costs from a rise in punitive policies fall mostly on low-income groups; therefore, the affluent gain higher benefits of protection, and pay lower costs when supporting promises of from law and order candidates. On the insurance side, I argue that the chance of being a crime victim shapes the amount of public insurance the voter is willing to buy in the electoral market. The model predicts that the redistributive and insurance effects are correlated due lower probability of a rich voter being victim of externalities from iron-fist policies. When crime rises, I predict wealthy voters tend to express stronger preferences for tough-on-crime policies . The model is empirically tested using data from Brazil where violence has become a central concern and politicians from law enforcement agencies have appeared quite frequently on the ballot. The results provide a general theory to understand preferences for punishment when voting in the midst of violence.
Have no Faith in Constitutions? The Content of Rebel Constitutions in Civil War
This paper summarizes results from the analysis of 103 rebel group constitutions. The analysis shows that rebel constitutions tend to differ systematically across five general dimensions. Estimating these constitutional topics using our sample of rebel constitutions makes an important contribution to the emerging literature on rebel political institutions. Rebel constitutions can be used for several purposes, and the data suggest that the topics in the constitutions are correlated with meta data about the strategic political environment in which the rebels reside.
Katherine Sawyer, William Reed, and Tiago Ventura
*Draft prepared for the Annual Meeting of APSA, 2019 *
The Effect of Streaming Chat on Perceptions of Debates
Victoria Asbury, Keng-Chi Chang, Katherine McCabe, Kevin Munger, Tiago Ventura.
This Research Project started during the 2019, Summer Institute in Computational Social Science at Princeton. We received generous funding from Russel Sage Foundation to conduct the experiments on this project.
The Electoral Killing Cycle
Mariana Carvalho and Tiago Ventura
*Draft prepared for the Annual Meeting of MPSA, 2019 *
Collecting and Analyzing Social Media Data with R (In portuguese, Workshop at The Federal University of Para, Brazil)
How to build a R package? (Students-led Workshops at UMD)
Introduction to Tidyverse (Students-led Workshops at UMD)
R Crash Course (GVPT 489: Tweeting Political Crisis)
You can download my CV here