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Franklin Brasil Santos
Auditor federal e pesquisador em Compras Públicas
Franklin Brasil Santos is an experienced auditor at the Controladoria-Geral da União (CGU) in Brazil, where he has been serving since May 1998. He specializes in public procurement, fraud prevention, and risk management. His academic background includes a Bachelor's degree in Computer Science from the Universidade Federal de Mato Grosso (2002) and a Master's degree in Accounting from the Faculdade de Economia, Administração e Contabilidade da Universidade de São Paulo (2014). Currently, he is pursuing a Ph.D. in Engineering and Management at the Instituto Superior Técnico of the University of Lisbon.1
Professional Experience
- Auditor at CGU: Since 1998, focusing on auditing public expenditures and ensuring compliance with regulations.
- Coordinator of the Central de Compras do Governo Federal: From May 2019 to March 2020, he was responsible for centralizing government procurement processes.
- Advisor to the Minister: From October 2017 to May 2019, he provided advice on public procurement issues, governance, risk management, and legislation.1
Achievements
- Awards: Franklin has received the "Chico Ribeiro" award three times for excellence in public spending quality.
- Publications: He has authored several books on auditing, risk management, and public procurement practices.
- Leadership Role: He coordinates NELCA, a network that connects thousands of public buyers across Brazil.1
Franklin Brasil Santos is recognized for his contributions to improving governance and efficiency in public sector procurement in Brazil.
Highlights
Pesquisa de Preços Avançada em Compras Públicas: Como estimar economia de escala.
https://lnkd.in/dvsYuY95
Divulgo proposta de metodologia elaborada em parceria com o amigo Kleberson Souza. A ideia é estimar preços em compras públicas, considerando economia de escala e outros fatores relevantes, usando econometria e inteligência artificial.
Estudo de caso demonstra a aplicação do ChatGPT para estimar diferentes cenários, destacando o impacto potencial de técnicas robustas. Os efeitos de quantidade, localização, modalidade de licitação e janela temporal podem ser determinantes no preço. E é possível calcular tais efeitos.
No caso estudado, estimamos o preço unitário para a compra de 50 mil comprimidos de Dipirona 500mg por pregão (R$ 0,16) e por dispensa de licitação (R$ 0,17). E a aquisição de 10 milhões de unidades por pregão (R$ 0,11), com base em dados históricos, extraídos do Banco de Preços em Saúde. É fácil perceber como a quantidade e a modalidade de licitação influenciam as estimativas.
👉 Confira o artigo completo, que explica em detalhes o método, incluindo link para os dados utilizados e a conversa com o ChatGPT para desenvolver o estudo de caso: "Como Estimar Preço em Compras Públicas Usando Econometria com o ChatGPT".
Boa leitura! #licitação, #preço #metodologia #estimativa
Divulgo mais novo trabalho em parceria com o incansável amigo Kleberson Souza.
Agradeço aos amigos Mário Spinelli e Marcus Vinicius de Azevedo Braga que prefaciaram as versões anteriores. Grandes incentivos para a nova empreitada.
Aproveito para agradecer ao amigo Sergio Akutagawa pelo apoio fundamental que levou à primeira edição.
Cito trechos da apresentação da 4a edição:
Lá se vão 7 anos desde que lançamos a primeira edição desse livro. Na tradição bíblica do Gênesis, conta-se um sonho de vacas magras e gordas, simbolizando períodos de carestia e abundância. Torcemos (e até rezamos, por que não?), sinceramente, para que estejamos diante de um ciclo de abundância nas compras públicas, marcado pelo vigor pleno da Nova Lei de Licitações (NLL), a Lei nº 14.133/2021.
De certa forma, as vacas das compras públicas já estão engordando há um bom tempo, se considerarmos os avanços que testemunhamos desde que começamos a escrever sobre fraudes em licitações. O cenário atual é bem mais promissor, fruto de instituições, regras e sistemas que se modificaram em busca de maior resiliência diante da corrupção em compras governamentais. Temos orgulho e satisfação em fazer parte desse movimento.
Ao longo das edições anteriores, descrevemos as situações mais comuns e recorrentes, as tipologias mais frequentes, entendimentos majoritários, teorias de suporte, ilustrando ricamente o contexto com casos reais, assim como apontamos caminhos possíveis para aperfeiçoar capacidades de detectar e, sobretudo, prevenir as fraudes.
Agora, buscaremos continuar nossa jornada, trilhando os mesmos rumos, por novas estradas. Ainda não há jurisprudência ou casos catalogados sob o novo regime legal, então, usaremos o passado, naquilo que for compatível, como referência para intuir o presente e o futuro. A tipologia geral é a mesma, pois os eventos de risco permanecem semelhantes, mas o nível de risco tende a se modificar em alguns tipos de fraudes, algumas práticas podem até desaparecer e novas possibilidades de condutas irregulares podem se materializar.
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Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
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