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Public big data plataform: predicting public procurement irregularity, city comparison and public cost effectiveness

Grant number: 19/00804-9
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: October 01, 2019 - September 30, 2021
Field of knowledge:Humanities - Political Science - Public Policies
Principal Investigator:Lucas Madureira dos Anjos
Grantee:Lucas Madureira dos Anjos
Company:Gedanken Desenvolvimento e Licenciamento de Programas de Computador Ltda
CNAE: Desenvolvimento e licenciamento de programas de computador customizáveis
Desenvolvimento e licenciamento de programas de computador não-customizáveis
City: Ribeirão Preto
Assoc. researchers: André Luiz Martins Pignata ; Luciana Oranges Cezarino ; RAFAEL MADUREIRA DOS ANJOS ; Rodrigo Palucci Pantoni
Associated scholarship(s):20/00012-2 - Public big data plataform: predicting public procurement irregularity, city comparison and public cost effectiveness, BP.TT
19/25945-4 - Public big data platform for mapping signs of irregularity in public procurement, municipal comparison and effectiveness of public spending, BP.TT

Abstract

Transparency in Public Administration helps to improve the effectiveness of government accountability to society by reducing government corruption, reducing information inconsistencies and perceiving reality between public managers and the population. It subsidizes society in assimilating the effectiveness of each public policy and combating mistrust in governmental institutions. Linked to administrative transparency, new directions of innovation driven by data can result in a radical transformation of public sector systems, generating a number of social benefits such as less pollution, better tracking of disease outbreaks, greater energy efficiency, reduced corruption, reduced government costs and greater effectiveness of public policies. Despite the constant concern with the effectiveness of public policies and with the fight against corruption practices, public management is still performed with little pragmatism and guidance on the use of integrative data. Public procurement is among the most relevant sources of misappropriation of public funds, resulting not only in legal and administrative but also ethical and political issues. It is clear that the legal rigidity of the current public procurement process has not been enough to break corruption. To make public spending more effective, even without losses through corruption, it is necessary to make available and analyze interconnected data. For instance, such a process can assist a public manager, allowing comparisons of expenses per item between regional offices of the same purpose, between public agencies with consumption of the same items or services or in broad scenario, between different cities. In this sense there would be a paradigm shift with the possibility of identifying the best initiatives and investments of its area at the regional or national level.Thus, the present project proposes the development of a big data platform based on structured and unstructured public data and artificial intelligence to help public government managers improve the effectiveness of financial investments and drastically reduce purchasing irregularities. This digital platform should assist the Municipal Council in its constitutional duty to oversee the Executive Branch and bring organized civil society closer to municipal public management by promoting transparency in administration in an intuitive system, giving the citizen the power to contribute and oversee. The initial project has already been validated by organized civil society entities such as the Observatório Social of Ribeirão Preto and São Caetano do Sul, the Ribeirão Preto region of the GAECO of the MPSP and researchers from FEA USP of Ribeirão Preto. Thus, the project is in phase of expansion of scope and functionalities for commercialization, fulfilling the requirements of phase 1 of the PIPE project. In the first phase of the project, 9 robots were developed to identify signs of irregularities that have already mapped more than one million traces of possible irregularities in municipal contracting, based on the studied, captured, organized and treated only the municipalities of the State of São Paulo. In addition to the robots for mapping evidence of irregularities, a platform has also been developed that has two modules for comparing municipal expenditures, a network of relationships between government functions and suppliers, a network for corporate analysis of companies, a module that allows verifying how much each municipality has paid year by year by category of municipal expenditure, details of expenditures for extractions, consolidations to be used by public managers or academic researchers, municipal purchases with alert to exceed limit and economic balance. (AU)