The Data Laboratory and Empirical Research in Law (LabDados) is a Development nucleus of the Academic Master’s and PhD Programs of FGV Sao Paulo Law School. It aims to promote the link between methodological reflections on empirical research in Law, carried out by the School for more than a decade, and the scientific and technological advances in data analysis.
The objective of LabDados is to be a space for reflection and training on research designs, empirical methodologies, and use of data science in law research. Its goals are also to support various initiatives developed at FGV Sao Paulo Law School, by establishing strategic interdisciplinary partnerships and advancing the frontiers of empirical research in the field. LabDados aims to consolidate itself as a unit of excellence in data analysis and empirical research in Law. So, to achieve it, LabDados promotes a series of activities, such as seminars, workshops, and training, publications with a specific focus on methodological innovation, integration, and releases databases and research results. In addition, it carries out individual and collective surveys for the school.
LabDados offers training, qualification, and support for students, researchers, and professors of FGV Sao Paulo Law School that already adopt specific methodologies and technological tools in their research, or for those who want to get closer to them. It offers courses on mathematics, statistics, data science, and in other areas. There are also practical classes such as programming languages, qualitative analysis, data collection tools, and data processing.
LabDados promotes meetings between researchers trained in technological tools and those with knowledge in a specific area, for creating a common language that allows a productive dialogue for both. The dialogue not only enables new research at an unprecedented scale, but also improves and refines the tools used during the meetings.
LabDados promotes monthly workshops on research design and methodology, to create a space for discussion and use of the tools and their effects. Hence, we can critically assess and incorporate them to research in Law.
Data Science for Law
Divided in three modules, between April and June 2021, the course covered exploratory and descriptive techniques for data analysis from programming languages. The exploratory analysis is necessary to refine hypotheses that will be investigated through collected data. Using real databases, it addressed descriptive statistical techniques, along with good data visualization practices through data science. At the end of the course, best practices for results were presented in both graphical, cartographic, and automated reporting formats. R language and RStudio were used.
Davi Cordeiro Moreira, researcher, winner of the CAPES award for best doctoral thesis in Political Science and International Relations in 2017. His research addresses the following areas: Methodology in Political Science, Data Science, Text as Data, and Comparative Politics.
Antonio Pires, PhD Student of Political Science at the Federal University of Pernambuco (UFPE). Graduated in Law from the Federal University of Pernambuco and Master in Political Science from the same university.
Ezequiel Fajreldines dos Santos, PhD Student in Law and Development at FGV Sao Paulo Law School. Master in Law and Development from FGV Sao Paulo Law School. Graduated in Law from the Federal University of Rio Grande do Sul (UFRGS).
Luiz Cláudio Pimenta Filho, Master in Law and Development from FGV Sao Paulo Law School. Graduated in Law from the University of São Paulo (USP).
Ezequiel Fajreldines dos Santos; Luiz Claudio Pimenta Filho, and Andressa Vieira e Silva
Anna Lygia Rego