Projects
Network-Driven Leadership Mapping for Organizational Change (2021)
In this project, I developed an innovative methodology (in partnership with BTA - Betânia Tanure Associados) that uses network analysis metrics and techniques to map relational dynamics within corporate organizations. The goal is to identify the employees best suited to lead organizational culture change processes. This approach can also be adapted for various strategic processes, such as talent retention, conflict reduction and increased collaboration between organizational sectors, acceleration of innovation adoption, and facilitation of merger integration processes. I applied this methodology in large corporate groups in Brazil, including Itaú, Porto Seguro, Aché, and Eztec.
"Covid Bulletin" Project
The Covid Bulletin 34 project analyzed Covid-19 deaths in Brazil in 2020, focusing on the occupations held by workers and the sex and race/color attributed to the person who died. The data came from the SIM - Mortality Information System, from DataSUS. We used regression models to determine the chances that black men and women had of dying from Covid in relation to white people in different occupational groups. The results were striking and were widely publicized in newspapers such as Folha de SP , Estadão, Valor Econômico , O Globo, Piauí magazine and G1. The full bulletin can be accessed here: link . The analysis scripts in R language are on github .
MG Multidimensional Poverty Index
In this project, carried out within the scope of the Social Data Office of Minas Gerais (SEDESE-MG), I created a Multidimensional Poverty Index (IPM) for the state of Minas Gerais based on the methodology developed by Alkire & Foster at the University of Oxford. The index (IPM) is composed of four dimensions (education, work and income, infrastructure/sanitation and standard of living) and 14 indicators; and used the Cadúnico databases from 2019 to 2022. The IPM served as a basis for the diagnosis of poverty in the state, which was part of the State Plan to Combat Poverty that is currently being created by the Government of Minas Gerais. The project also involved an analysis that contrasted the results of the IPM with more monetarist approaches to measuring poverty. The IPM was presented to the World Bank and its use was improved after recommendations received from experts at the bank. The methodology was also presented at the ANPOCS 2022 meeting.
Covid Bulletin - Version 2
The first "COVID Bulletin" covered data from the SIM (Mortality Information System) for the year 2020. In this second project on COVID, we return to the SIM data, but looking at the databases for the years 2020 and 2021. This time, we also looked at other aspects, in addition to the differences in the chances of death between whites and blacks in occupational groups. For example: changes in the mortality pattern of racial groups throughout the pandemic; changes in mortality rates in relation to the population of racial groups in each large geographic region, etc. The results of this second version of the bulletin will still be released.
State Plan for the Promotion of Social Development of Minas Gerais
I worked on the development of the Minas Gerais Poverty Control Plan, which will guide all actions and policies implemented by the Government of Minas Gerais with the aim of combating poverty and promoting socioeconomic development in the state over the next 10 years. I worked on the following stages of the plan: Review of the main concepts of poverty in vogue, Joint validation of the notion of poverty guiding the plan, Diagnosis of poverty in the state, Benchmarking of the main poverty control policies created at national and international levels, Definition of monitoring parameters
and Evaluation of the plan.
Evaluation of the UN 2030 Agenda with a Focus on Racial Dimension
In this project, we assessed the progress of the UN 2030 Agenda by analyzing the Sustainable Development Goals (SDGs) through a racial lens. We constructed SDG indicators for two points in time, 2015 and 2023, disaggregating them by race/color, and gender wherever possible. This was achieved using databases that provide race and color information, including PNAD, the Demographic Census, RAIS, CAGED, the School Census, SAEB (formerly Prova Brasil), MUNIC, the Mortality Information System (SIM), and other data sources. By leveraging these datasets, we ensured a comprehensive and comparative analysis of racial inequalities in sustainable development indicators over time.
First Public Service User Satisfaction Survey of the Federal Government of Brazil (2024)
I coordinated the creation of the First Public Service User Satisfaction Survey of the Federal Government of Brazil. Among the deliverables executed in this partnership between J-PAL and CGU Brazil were: project work plan, data collection instrument/questionnaire, benchmarking of national and international data collection instruments, project Theory of Change, budget, and benchmarking of data collection companies.
Monitoring System for the Percursos Gerais Program (2021)
I helped to design and implement a dashboard system (using R and DataStudio) to monitor the implementation of the Percursos Gerais program, a public policy aimed at integrating families into the labor market and reducing poverty. The program was implemented in over 70 municipalities in Minas Gerais and involved coordinated actions across multiple government sectors, including Food Security, Housing, Social Assistance, Employment and Income, and Human Rights. The monitoring system was designed to disaggregate beneficiary data whenever possible, considering variables such as sex, municipality, urban-rural classification, and other demographic aspects, allowing for a more nuanced analysis of the program's reach and impact. Additionally, data collected from field agents and frontline policy operators were systematically cross-referenced with the national social registry (CadÚnico) to assess both the eligibility of beneficiaries to continue in the program and their socioeconomic progress over time.
Quasi-experimental Impact Evaluation of the Percursos Gerais Program, Government of Minas Gerais (2023)
As part of the broader evaluation of the Percursos Gerais strategic program, I conducted a prior impact evaluation of the program using CadÚnico data. In summary, after applying filters and preprocessing the CadÚnico dataset, we used the Propensity Score Matching technique to select the families in CadÚnico that most resembled those who received the program's benefits. Then, we applied the Difference-in-Differences method to measure the program's impact.
Monitor of impacts of disasters caused by rain in Minas Gerais (2021)
I helped to design and develop a dashboard systems (using R and DataStudio) to monitor the effects of disasters caused by the rainy season in Minas Gerais and their social impacts. This monitoring system was developed in collaboration with Civil Defense, which provided key data, and also incorporated information from S2ID, the Brazilian Federal Government's disaster information system, as well as municipal and social registry (CadÚnico) data. By integrating these sources, the system allowed for a comprehensive assessment of the magnitude of the impact of heavy rains, estimating the number of displaced individuals, injuries, fatalities, and the socioeconomic needs of affected areas.
Diagnostic Report of the Percursos Gerais Program (2021)
I helped to design and develop a dashboard system to compile and analyze data for the diagnosis of the beneficiary population of the Percursos Gerais Program: Trajectories for Autonomy, the flagship initiative of the State Secretariat for Social Development of Minas Gerais (SEDESE-MG). The system was designed to assess the needs of municipalities to be served by the program, integrating data from multiple sources, including CadÚnico, RAIS, CAGED, administrative databases from the Subsecretariat of Sports, and Food and Nutritional Security databases. The analysis covered various dimensions such as Housing, Human Rights, Social Assistance, Sports, Labor Market and Income, and Food Security, providing a comprehensive overview of the socioeconomic conditions of the target municipalities. In addition to quantitative data, the dashboard incorporated qualitative insights from interviews with local government officials, enabling a more nuanced and contextualized understanding of the needs of the program's target audience.
