I am a Ph.D. Student in Political Science at the University of Maryland, College Park. I study the consequences of crime exposure and inequality on political behaviour, in particular in the support for punitive agendas in Latin America. My political methodology research focuses on issues with social media and big data, and the use of machine learning models for causal inference.

In my doctoral dissertation, I seek to understand how violence changes the electoral market in developing democracies with particular focus in Latin America. I extend economic models of individual preferences for welfare and social policy provision - endogenously determined by income inequality - to understand changes in the political arena brought by rising violence. My dissertation asks how violence changes citizens’ demands for state protection, how violence changes the supply of politicians campaigning on more punitive solutions for crime, and how wealth inequality determines the unequal provision of security by the criminal justice agencies

To know more about my research, please visit my website

CV: CV

Awards

  • 2018-06-01
    Summer Institute in Computational Social Science (SICSS), Princeton 2019.
  • 2018-01-07
    Empirical Implications of ‘eoretical Methods (EITM), Summer Institute, 2019, Emory
  • 2017-06-01
    EITM Certification Scholarship: Full Tuition to attend the ICPSR Summer School

Research

  • Political Economy of Violence
  • Wealth Inequality
  • Computational Social Science

Research Topics

  • Methodology
  • Comparative Politics
Campus
Graduate Students Methods Representative 2018-2019
Campus
Dean's Graduate Student Advisory Council (DGSAC) 2017-2019
text
4118 CHIN
Government and Politics Department
Email
venturat [at] umd.edu
Office Hours
by appointment