Design orientado a problemas para visualização de big data em saúde e poluição

Autores

DOI:

https://doi.org/10.51358/id.v21i2.1131

Resumo

Este artigo apresenta o design de uma ferramenta de visualização de big data voltada para investigação das possíveis relações entre poluição atmosférica e saúde perinatal. Foram empregados dados públicos brasileiros de gestações únicas e de material particulado fino (MP2.5) no decorrer de um período de sete anos. Nossa metodologia combinou Design by Immersion e co-design com a colaboração de especialistas de vários domínios para o design de uma visualização direcionada por problema. A visualização interativa resultante permite a exploração e comparação de dados de nascimento segundo datas de concepção estimadas, sem sugerir causalidade. Ao longo do processo de design, a colaboração com especialistas de diferentes áreas do saber mostrou-se essencial para a compreensão dos dados e o design de uma visualização de big data para tomada de decisão informada.

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Biografia do Autor

Julia Giannella, Universidade Federal Fluminense

Júlia Giannella is a professor in the Department of Design and Technology at the Fluminense Federal University (UFF) where she teaches courses in the areas of ​​interaction design and computer graphics. She also coordinates the Lafda research group (Laboratory of Physical, Digital and Algorithmic Artifacts). Her research interests include Computer Graphics, Data Visualization, Information Design, Interaction Design, Digital Humanities, Cultural Heritage, and 3D Visualization.

Ximena Illarramendi, Fundação Osvaldo Cruz

Ximena Illarramendi is a Medical Doctor, with doctorate in Tropical Medicine; works as a Public Health researcher and coordinator of the institutional review board on human research ethics and research integrity at the Fundação Oswaldo Cruz, Rio de Janeiro.

Renato Mauro, CEFET-RJ e UFRJ

Renato Campos Mauro is a Computer Science professor at CEFET-RJ, the Federal Center for Technological Education, where he teaches both high school technical and undergraduate courses. He holds a Bachelor's degree in Computer Science from UFRJ and a Master's degree in Database Systems from COPPE. Currently, he is pursuing his Ph.D. at COPPE, specializing in Computer Graphics. His research interests include data science, information storage and retrieval methods, interactive data visualization, and systems development.

Lucas Barcellos Oliveira, Universidade Federal do Rio de Janeiro - UFRJ

Lucas Barcellos is a systems analyst at Petrobras, contributing to advancing digital transformation, fostering a data-driven culture and promoting new ways of working. He has graduated in Computer and Information Engineering from the Federal University of Rio de Janeiro (UFRJ) and is currently pursuing a Master's degree in Systems and Computer Engineering at COPPE/UFRJ, focusing his research on computer graphics and data visualization.

Igor Falconieri, Universidade Federal do Rio de Janeiro - UFRJ

Igor Falconieri is a data product designer with a master's degree in Design from the Federal University of Rio de Janeiro (UFRJ), where he conducted research on Data Visualization for healthcare tools. He is also a member of LabVis (Laboratory of Visuality and Visualization). His professional and research interests include Interactive Data Visualization, Product Design, and Human-Computer Interaction.

Claudio Esperança, Universidade Federal do Rio de Janeiro - UFRJ

Claudio Esperança is a professor at the Federal University of Rio de Janeiro, where he contributes to postgraduate programs in design and computer systems. His areas of interest include all applications of computer graphics, such as visualization, geometric modeling, physical animation, computational geometry, geographic information systems, spatial databases, and generative art.

Doris Kosminsky, Universidade Federal do Rio de Janeiro - UFRJ

Doris Kosminsky is an Associate Professor at the Federal University of Rio de Janeiro (UFRJ), where she contributes to the Graduate Programs in Visual Arts and Design. She is the founder and coordinator of the Laboratory of Visuality and Visualization (Labvis). She develops projects and research in Data Visualization, Information Design, and creative processes involving data, with numerous peer-reviewed publications. Among her key contributions are the curation of the exhibition and organization of the book "Existência Numérica" (2018), the first data visualization exhibition held in Brazil, and "Existência Numérica: Emergências" (2024). Her article "Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff" received the Best Paper award at IEEE InfoVIS 2019. Doris is a CNPq Level 2 Research Productivity Fellow, a "Cientista do Nosso Estado" by FAPERJ, and a former grantee of the Grand Challenges Explorations - Brazil, a collaboration between the Bill & Melinda Gates Foundation and CNPq.

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Publicado

2024-10-07

Como Citar

Giannella, J., Illarramendi, X., Mauro, R., Barcellos Oliveira, L., Falconieri, I., Esperança, C., & Kosminsky, D. (2024). Design orientado a problemas para visualização de big data em saúde e poluição. InfoDesign - Revista Brasileira De Design Da Informação, 21(2). https://doi.org/10.51358/id.v21i2.1131

Edição

v. 21 n. 2 (2024)

Seção

Artigos

Licença

Copyright (c) 2024 Julia Giannella, Ximena Illarramendi, Renato Mauro, Lucas Barcellos Oliveira, Igor Falconieri, Claudio Esperança, Doris Kosminsky

Licença Creative Commons

Esta obra está licenciado com uma Licença Creative Commons Attribution 3.0 Unported License.

Atribuição 3.0 Não Adaptada (CC BY 3.0)