FGV and IDB hold 1st Regional Meeting of the Big Data Project for Sustainable Urban Development

The project is the result of a Technical Cooperation Agreement between FGV and the IDB and aims to develop a replicable and scalable Big Data governance model for the cities participating in this project: Miraflores, Montevideo, Quito, Sao Paulo, and Xalapa.
公共政策
10 六月 2019
FGV and IDB hold 1st Regional Meeting of the Big Data Project for Sustainable Urban Development

On May 2-3, Fundação Getulio Vargas (FGV) and the Inter-American Development Bank (IDB) held the “1st Regional Meeting of the Big Data Project for Sustainable Urban Development.” The meeting aimed to present projects in Latin American cities in this area, their benefits and challenges, and the research project being developed by FGV with support from the IDB – Big Data for Sustainable Urban Development. The scope of this project focuses on legal and regulatory aspects, technological infrastructure, and data science – all related to the use of large databases to implement improvements in public policy.

The project is the result of a Technical Cooperation Agreement between FGV and the IDB and aims to develop a replicable and scalable Big Data governance model for the cities participating in this project: Miraflores, Montevideo, Quito, Sao Paulo, and Xalapa. In this sense, strategies for sharing experiences among cities were discussed, as well as the process of developing a common work agenda for the project. The Center for Technology and Development (CTD), the FGV´s Rio de Janeiro Law School (Direito Rio) and the School of Applied Mathematics (EMAp) participate in the development of this project by FGV.

During the opening of the event, Professor Goret Pereira Paulo, Director of the FGV Research Network highlighted that “our idea is to gather here people who are responsible for preparing and implementing of public policies in their cities and researchers, as we believe that this union is very productive and can bring benefits to society.”

The event featured a series of presentations and case studies of Big Data projects and initiatives. The first panel discussed “Evidence-Based Public Policy.” Researcher Lycia Lima, from FGV’s Center for Studies on Politics and Economics in the Public Sector (CEPESP) and FGV’s Learning Center in Evaluation and Results for Brazil and Lusophone Africa (CLEAR) gave the presentation “Dados para Medir os Efeitos de Políticas Públicas: A Importância da Avaliação de Impacto” (“Data for Measuring the Effects of Public Policy: The Importance of Impact Assessment”). In turn, Professor Ivar A. Hartmann, from FGV Direito Rio, carried out an analysis of the legal challenges of the Project and Professor Jorge Poco, from FGV EMAp, gave a lecture on “Exploração Visual de Grandes Bases de Dados Urbanas: Um Estudo dos Táxis em Nova York” (“Exploration of Large Urban Databases: A Study on Taxis in New York”). The moderator of this panel was Pablo Cerdeira, Coordinator of FGV’s CTD.

The second panel presented case studies. The roundtable was composed by Professor Jhessica Reia from FGV Direito Rio presented the “Case Smart City,” Professor Flávio Codeço Coelho, from FGV EMAp, who spoke about the project “Infodengue: Análise em Tempo Real do Risco de Doenças Infecciosas” (“Infodengue: Real-Time Analysis of the Risk of Infectious Diseases”), Professor Moacyr Alvim Horta Barbosa da Silva, from FGV EMAp, who gave the presentation “Padrões de Mobilidade Urbana na Região Metropolitana do RJ” (“Urban Mobility Standards in the RJ Metro Area”), and Professor Fabio Kon, from the Institute of Mathematics and Statistics of the University of Sao Paulo (IME/USP), who showed the case “Computer Science and Software Development for Smart Sustainable Cities.”

The third panel on Challenges for the Financing of Big Data Projects for Sustainable Urban Development was moderated by Professor Goret Paulo and featured the participation of Professor Carlos Américo Pacheco – Managing Director of FAPESP and Mr. Mauricio Bouskela, from the IDB. After the third panel, Professor Antonio Miguel Vieira Monteiro, PhD, from the National Institute of Space Research (INPE), gave a lecture on the Use of Remote Sensing for Urban Issues.

The fourth panel was entitled “Os Avanços e Desafios no Uso de Big Data nas Políticas Públicas Municipais (“Advances and Challenges in the Use of Big Data in Municipal Public Policies”) and aimed to present the experiences of each city and identify common practices and challenges in the execution of their projects. The moderator of the panel was Marcus Mentzingen de Mendonça, Coordinator of the Big Data Project for Sustainable Urban Development at FGV, and the roundtable consisted of: Cristina de Miranda Costa, Advisor on Public Policy, Planning and Management of the Municipality of Sao Paulo, Vitor Fazio – Platform and Innovation Coordinator of the Municipality of Sao Paulo, Jimena Sánchez – Open Data Specialist from Peru, David Albujar Mesta – Systems and Information Technology Manager of the Municipality of Miraflores, Antonio Sobrino Sánchez – Deputy Director of Electronic Government of the Municipal Government of Xalapa, Gilberto Chazaro García – Head of the Geography and Statistics Unit of the Municipal Government of Xalapa, Carlos Andrés Isch Pérez – Secretary General of Planning of the Municipality of the Metropolitan District of Quito, and Ms. Rosa Elena Guerrero Mafla – Metropolitan Director of Information Management of the Municipality of the Metropolitan District of Quito.

“This meeting was a milestone for the project, as it enabled a face-to-face interaction of those involved – FGV, IDB and participating cities – and the exchange of experiences and applied knowledge,” emphasized Marcus Mentzingen de Mendonça, coordinator of the project.

On the second day, interactive sessions were held between the researchers and the representatives of the cities participating in the project. An interactive session was also held for each of the project pillars. Please visit the website http://smartcities-bigdata.fgv.br/ to learn more about the project and the event.