This article aims to demonstrate the effectiveness of the university's Wi-Fi stored data in supporting campus resilience enterprises associated with university innovation. These data are generated by processes of device authentication in the access points distributed across the campus. Each log file associates user identification, location, and time and represents a powerful resource, but carries remarkable risks for users' privacy. The great challenge is how to measure, communicate, and make feasible this significant resource potential. Through
A ciência de dados tem aumentado a capacidade de análise de edifícios, infraestruturas e sistemas urbanos, ampliando o alcance e o impacto das decisões de gestão e projeto. Na metodologia utilizada, a interdependência entre a privacidade dos usuários e os algoritmos é essencial em face da Lei Geral de Proteção de Dados Pessoais e da interdisciplinaridade da pesquisa. Apresentam-se três estudos tendo por base o uso de dados de acesso à rede Wi-Fi da Universidade Federal de Santa Catarina. O primeiro considera a mobilidade pelos deslocamentos externos da comunidade acadêmica até o campus. No segundo, o ambiente pedagógico e as relações entre o deslocamento interno e o território da universidade são abordadas, focalizando interações presenciais. O último estudo avalia a densidade demográfica dos edifícios através do número de conexões Wi-Fi como uma das ferramentas possíveis para o planejamento das atividades presenciais interrompidas devido a COVID-19. Visando facilitar o compartilhamento e acelerar a visualização destas informações, o Kepler.gl é utilizado como ferramenta de visualização e análise dos dados obtidos. Os resultados fornecem maior compreensão sobre mobilidade extra-campus e interações humanas intra-campus, expondo a fragmentação territorial universitária. Faz-se também um reposicionamento conceitual da produção urbana das Smart Cities, considerando negativas as adesões acríticas ao conceito ao propor um fomento do campus enquanto espaço público de aprendizado e de transformação social.
This study departs from the data exploration of the people dynamics within a university campus to foster solutions of sustainable mobility and environmental regeneration. The research has dealt with a critical challenge of guaranteeing the privacy of individuals' registration data, following the recommendations listed in the foreseen General Data Protection Law. While ensuring anonymity, the work aims to assess the contribution of databases as infrastructures that can convey relevant knowledge beyond scientific research and to guide public management to the trends advocated for the future of universities.
As a social infrastructure, the material substrates of a campus intertwine with the sociabilities it supports. Intending to identify the integration potential between a Brazilian public university campus and its surrounding neighborhoods, we mapped the campus’ social infrastructures and identified through diagrammatic studies its morphological dimensions. Internet routers distributed on the university campus provided georeferenced data of the human dynamics on campus. Counting user connections in groups of access points, we obtained the population density of the potential social infrastructure use. Afterward, associating Wi-Fi data and typological information, we traced itineraries that connect these infrastructures. The results encompass a systemic view that highlights the campus’ potential to develop sociability within a complex service network. Furthermore, through new readings of the social infrastructures, we suggest alternative potential uses. These results highlight the hybrid methodologies that associate objective characteristics of the built environment with data-driven methodologies, such as Wi-Fi-generated datasets.
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