Welcome to my academic portfolio! Bem-vindos!

I’m an economist specializing in innovation economics and political economy. With a particular focus on digital platforms and AI, my research explores alternative models for deploying these technologies to foster socio-economic development. Below, you’ll find my completed and ongoing projects. Feel free to explore the other sections for my full CV, works in progress, and published papers. I welcome inquiries and collaborations—thank you for visiting my site!

V. Silva, Ph.D.

PROJECTS

Uncovering the Brazilian platform economy

How important is the platform economy to the Brazilian economy? What is the performance of Brazilian platform companies? What is the best governance system for platforms in Brazil?

CHIARINI, T., SILVA, V., PRATES, B. Late platformization and underdevelopment (in peer-review)
SILVA, V., CHIARINI, T. The Brazilian system of governance for the platform economy (in peer-review)
FEITOSA, P., SILVA, V., CHIARINI, T. (2024). Surviving the Storm: How Digital Platforms Helped Brazilian SMEs Thrive During the Covid-19 Crisis
SILVA, V., CHIARINI, T., RIBEIRO, L. (2024) Economia de plataformas: A eclosão de empresas brasileiras controladoras de plataformas digitais, in Digitalização e Tecnologias de Informação e Comunicação, KUBOTA, L. (Org.), Rio de Janeiro, IPEA.
SILVA, V., CHIARINI, T., RIBEIRO, L. (2024) Understanding Brazil's Platform Economy: Trends and Regulatory Challenges. Nova Economia.
SILVA, V., CHIARINI, T., RIBEIRO, L. (2023) 'The Brazilian digital platform economy: a first approach.' VII ENEI Conference proceedings.

Explaining global platform companies' spatial clusters

We look for the variables that explain why platform companies emerge with greater density in certain locations. We use our base of approximately 30,000 platform companies to build econometric models.

RIBEIRO, L., SILVA, V., CHIARINI, T. (2025). 'Mapping the platform economy: a methodology for identifying and locating digital platform companies using NLP techniques'. Quality & Quantity.
TUPY, I., SILVA, V., CHIARINI, T., RIBEIRO, L., "Decoding the Geographical Footprint of European Digital Platform Companies: Insights from a Comprehensive Analysis of Socio-economic Factors" (in peer review)
CHIARINI, T., SILVA, V., RIBEIRO, L., TUPY, I. (2023). 'Platform economy in tax havens: do platform companies stand out in terms of tax arbitrage?' 50 ANPEC national conference proceedings.
SILVA, V., CHIARINI, T., RIBEIRO, L. (2022). 'Voyages of discovery: charting the new geographies of the platform economy.' VI ENEI Conference Proceedings.

Mapping alternative platform regimes

We go beyond the "platform as a company" vision to elucidate how public authorities can mobilize platforms for socioeconomic development. This includes public service, civic and infrastructure platforms.

SILVA, V., ZUIDERVEEN, F., GELLERT, R. "The state in the platform economy: a typology of alternative approaches" (in peer-review)
SILVA, V. FRENKEN, K., SUSHA, I., HOEKMAN, J. "How academia works with/around platform data" (work in progress)
SILVA, V., CHIARINI, T. (2023) 'The platformization of science: towards a scientific digital platform taxonomy.' Minerva: A Review of Science, Learning and Policy
SPANÓ, E., SILVA, V. (2022) 'Public service innovation in Brazil after COVID-19: digital platforms across the levels of public administration', Revista Tecnologia e Sociedade, v. 18, n. 52
SILVA, V., CHIARINI, T. (2021) 'Technological progress and political systems: Non-institutional digital platforms and political transformation', Technology in Society, v. 64, p. 101460

AI as a General Purpose Technology

We explore the applications of artificial intelligence in various sectors, considering its pervasiveness and complementarity with other technologies.

SILVA, V.; BONACELLI, M., PACHECO, C. (2022) 'Framing the effects of machine learning on science', AI & Society: Journal of Knowledge, Culture and Communication
SILVA, V.; BONACELLI, M., PACHECO, C. (2020) 'Digital Technology System: artificial intelligence, cloud computing and Big Data', Brazilian Journal of Innovation, v. 19, p. e0200024