The State of São Paulo was the epicenter of COVID-19 in Brazil, with a high impact on society, causing many deaths and significant losses to the economy. A milestone in confronting the pandemic was creating an Intelligent Monitoring System, whose mission was to consolidate and integrate data to support the state government in its strategic decisions. Overcoming the challenges of integration, anonymity, and privacy was essential to validate and make governmental actions legal and ethical. We present the technical aspects, the information integration and good practices in disseminating strategic data on mobility, health, and economy to support strategic decision making.
São Paulo was one of the first states affected by COVID-19 in Brazil. The Intelligent Monitoring System (SIMI) was an important milestone to face the pandemic, whose mission was to consolidate and integrate data on vehicular and people mobility, epidemiological situation, and economic status to support the state government in its strategic decisions. Overcoming the challenges of integration, anonymity, privacy, and multidisciplinarity were essential to provide results for analyzing scenarios and better information for decision-making. SIMI indicators impacted the entire São Paulo society, which defined criteria for flexibilization or restriction of economic sectors or supporting strategic changes to face the pandemic.
A ação do homem tem provocado mudanças no meio ambiente, sendo a poluição urbana uma das consequências negativas aplicadas nesse ecossistema. Com o desenvolvimento tecnológico, novas perspectivas computacionais afloram para o monitoramento ambiental. Este artigo apresenta pontos chaves da fenomenologia ambiental que podem se beneficiar da evolução promovida pela computação aplicada nos estudos da poluição, assim como realiza um levantamento de pesquisas e tecnologias utilizadas nesse contexto.
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