class: center, middle, inverse, title-slide # Research Outline ## Teesside University ### Danilo Freire ### 12 December 2019 --- <style> .remark-slide-number { position: inherit; } .remark-slide-number .progress-bar-container { position: absolute; bottom: 0; height: 6px; display: block; left: 0; right: 0; } .remark-slide-number .progress-bar { height: 100%; background-color: #EB811B; } .orange { color: #EB811B; } </style> # Background .font130[ * Hi, I'm Danilo! * PhD in Political Economy, King's College London * Postdoctoral Research Associate, Brown University * Research areas: - Public service provision - Criminal and political violence - Collective action problems - Causal inference methods * One ongoing project for each research area ] --- # Public service provision .font130[ * Motivating questions: - How do we foster vertical accountability and sanction malfeasant officeholders? - How can we increase bureaucratic performance and improve the quality of public services? * Previous research: - "Bottom-Up Accountability and Public Service Provision: Evidence from a Field Experiment in Brazil" (R&R _Research and Politics_) - "Incentives in Preventive Healthcare Provision: Zika in Brazil" (writing stage) ] --- # Next steps .font130[ * Evaluate the impact of vertical accountability on healthcare outcomes - Test the effect of an information-sharing app on public performance * Funding: - Secured US$65,000 from the Brazilian Ministry of Education and the Getulio Vargas Foundation * Investigators: - Danilo Freire (Brown) and Umberto Mignozzetti (NYU/FGV) ] --- # Dynamics of criminal violence .font130[ * Motivating questions: - How do criminals enforce rules and promote trade when the state is unable or unwilling to act? - What is the effect of prison gang truces on homicide levels? * Previous research: - "Evaluating the Effect of Homicide Prevention Strategies in São Paulo, Brazil: A Synthetic Control Approach" (LARR) - "Beasts of Prey or Rational Animals?: Private Governance in Brazil's _Jogo do Bicho_" (LAPS) - "Prison Gangs" (Handbook of US Corrections) ] --- # Next steps .font130[ * Describe under what conditions prison gangs establish alliances in new territories - Collect survey data and create a new dataset of administrative records on the expansion of Brazil's two main prison gangs - Evaluate the impact of their disputes and alliances on violent crime * Funding: - Grant application at Brown University and the Brazilian Ministry of Education * Investigators: - Danilo Freire (Brown) and David Skarbek (Brown) ] --- # Collective action in climate regimes .font130[ * Motivating questions: - How to promote international climate cooperation among players with heterogeneous preferences? - Which institutional features do elites favour for climate change policies? * Related research: - "Institutional Design and Elite Support for Climate Policies: Evidence from Latin American Countries" (R&R _Journal of Experimental Political Science_) - "Policy Report for the Konrad Adenauer Stiftung Latin American Programme for Energy Security and Climate" (EKLA-KAS) ] --- # Next steps .font130[ * Measure public preferences on climate institutions in 10 Latin American countries * Extend our previous research to analyse elite opinions on stranded assets and renewables * Funding: - Secured US$ 130,000 from the Konrad Adenauer Stiftung and the Getulio Vargas Foundation (matching grant) * Investigators: - Danilo Freire (Brown), Umberto Mignozzetti (NYU/FGV), David Skarbek (Brown), and Michael Aklin (UPitt) ] --- # Inference with observational data .font130[ * Shortcomings of quantitative social science - Explanation: lack of robustness in observational studies - Prediction: reliance on black-box algorithms * Two main goals: - Develop a new measure of sensitivity to assess omitted variable bias - Introduce the literature on causal machine learning to the social science community and extend it to RDDs ] --- # Future work .font130[ * "Using Sensitivity Analysis to Assess Omitted Variable Bias" - Extend the methodology implemented by Cinelli & Hazlitt (2019) - Generalise their methods to cover IV, RD, and DiD designs * "Uncovering Causal Relations in Observational Data Using Machine Learning and Graphical Models" - Present an overview of the recent advances in the causality algorithms with applications - Write free and easy-to-use software for quanti- and qualitative scholars * Investigators: - Danilo Freire (Brown) and Carlos Cinelli (UCLA) ] --- # Research as Teesside University .font130[ * Multi-disciplinary partnerships at Teesside University: - Public Health Research Centre/Healthcare Innovation Centre - Centre for Crime, Harm and Security - Machine Intelligence Research Group * Partnerships abroad: - Brown University, UCLA, Getulio Vargas Foundation, University of São Paulo * Funding: - Apply to collective grants that benefit the university ] --- class: inverse, center, middle # Thank you very much! <html><div style='float:left'></div><hr color='#EB811B' size=1px width=800px></html> --- # Contact information .font130[ * Email: <danilofreire@brown.edu> * Website: <http://danilofreire.github.io> * Postal Address: - Brown University - The Political Theory Project - 8 Fones Alley, office 114 - Providence, RI 02906, USA ]