作者：
Velasco, Rafael B.;Carpanese, Igor;Interian, Ruben;Paulo Neto, Octavio C. G.;Ribeiro, Celso C.
通讯作者：
Ruben Interian
作者机构：
Consultant, Praia do Flamengo 66B, Rio de Janeiro, RJ, 22210-030 Brazil
Institute of Computing, Universidade Federal Fluminense, Niterói, RJ, 24210-346 Brazil
Corresponding author.
rinterian@id.uff.br
GAECO – Paraíba Prosecutor's Office and Federal Prosecutor's Office, Brasília, DF, 70070-925 Brazil
通讯机构：
Institute of Computing, Universidade Federal Fluminense, Niterói, RJ, 24210-346 Brazil
Corresponding author.
rinterian@id.uff.br
语种：
英文
期刊：
International Transactions in Operational Research
ISSN：
0969-6016
年：
2021
卷：
28
期：
1
页码：
27-47
基金类别：
The authors are thankful to the Prosecutor's Office of the state of Paraíba for its invaluable collaboration during this work. They are also grateful to one anonymous referee for the constructive remarks who contributed to improve this article. Rafael B. Velasco, Igor Carpanese, and Ruben Interian thank Daniel Ortega Nieto for his encouragement. Work of Celso C. Ribeiro was partially supported by CNPq research grants 303958/2015‐4 and 425778/2016‐9, by FAPERJ research grant E‐26/202.854/2017, and by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Finance Code 001. The authors also thank Rodrigo Luna for his contribution to Section 4.2 of this article.;The authors are thankful to the Prosecutor's Office of the state of Para?ba for its invaluable collaboration during this work. They are also grateful to one anonymous referee for the constructive remarks who contributed to improve this article. Rafael B. Velasco, Igor Carpanese, and Ruben Interian thank Daniel Ortega Nieto for his encouragement. Work of Celso C. Ribeiro was partially supported by CNPq research grants 303958/2015-4 and 425778/2016-9, by FAPERJ research grant E-26/202.854/2017, and by Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior (CAPES), Finance Code 001. The authors also thank Rodrigo Luna for his contribution to Section?4.2 of this?article.
摘要：
Over the past few years, investigators in Brazil have been uncovering numerous corruption and money laundering schemes at all levels of government and in the country's largest corporations. It is estimated that between 2% and 5% of the global GDP is lost annually because of such practices, not only directly impacting public services and private sector development but also strengthening organized crime. However, most law enforcement agencies do not have the capability to carry out systematic corruption risk assessment leveraging on the availability of data related to public procurement. The currently prevailing approach employed by Brazilian law enforcement agencies to det...
