A plataforma federal do Brasil, construída sobre o Decidim, reuniu mais de 8 mil propostas e 1,5 milhão de votos para o Plano Plurianual 2024–2027; investigadores aplicaram depois agrupamento semântico com BERTopic e LLM a mais de 10 mil dessas propostas.
8,000+
Formal proposals submitted for the 2024-2027 PPA
1.5 million
Votes cast during the PPA consultation
1.4 million
Platform accesses during the PPA consultation
10,000+
Proposals analysed via BERTopic + LLM clustering study (2025 study)
Detalhes
Maturidade
Em expansão
Promotor
Secretaria-Geral da Presidência da República & Ministério do Planejamento e Orçamento
Período
2023–present
Palavras-chave
citizen participation, federal budget planning, NLP, semantic clustering
Contexto
Brasil Participativo is the Brazilian federal government's official digital participation platform, launched in 2023 by the Secretaria-Geral da Presidência da República (SGPR) together with the Ministério do Planejamento e Orçamento (MPO), built on the open-source Decidim framework. Its first major use was collecting citizen contributions to the 2024-2027 Plano Plurianual (PPA), Brazil's federal multi-year budget plan.
Objetivos
Because manual classification of proposals at this scale is infeasible, the government sought a way to turn large volumes of unstructured citizen input into data that public servants can act on, applying AI-based semantic clustering to make participation processes usable for policy work.
Atividades
The PPA process registered roughly 1.4 million platform accesses, more than 8,000 formal proposals and about 1.5 million votes; the platform was subsequently used for Brazil's National Climate Plan consultation, which drew around 50,000 contributors, and for the National Youth Congress process. A 2025 study applied BERTopic combined with seed words and automated large-language-model validation to more than 10,000 proposals drawn from these three processes.
Resultados
The study reports that the resulting topic clusters were coherent and aligned with the government's official policy taxonomies while requiring minimal manual expert effort. The government has paired this technical use of AI with an explicit governance step, publishing a 'Guia de Uso Ético de Inteligência Artificial' (Ethical AI Use Guide) directly on the platform.
Implementação
Custo indicativo
Médio (50 mil–500 mil €)
Tempo até resultados
Médio (1–3 anos)
Equipa e competências
Secretaria-Geral da Presidência da República (SGPR), Ministério do Planejamento e Orçamento (MPO)
Condições de sucesso
Open-source Decidim participation framework
Independent 2025 academic case study validating the clustering approach
Published governance guardrail (Ethical AI Use Guide) setting expectations for AI use on citizen contributions
Modos de falha comuns
The clustering study reports coherence and taxonomy alignment but no independent accuracy benchmark or comparison group
Habitualmente financiado por
National / regional programmes
Vias de financiamento indicativas para práticas deste tipo — verifique sempre os avisos abertos e as regras de elegibilidade de cada programa.
Kit de replicação
Artefactos reutilizáveis desta prática — tal como publicados pelas suas fontes.