Problem-driven visualization design of health and pollution big data

Authors

DOI:

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

Abstract

We present the design of a big data visualization application aimed at investigating the potential relationships between air pollution and perinatal health. We integrated data from singleton pregnancies in Brazil over a seven-year period and records of fine particulate matter (PM2.5) levels. Our methodology combines Design by Immersion and co-design, engaging specialists from various domains in problem-driven visualization design. The interactive visualization allows exploratory queries and comparative analyses based on medical birth certificate data restructured according to estimated conception dates. The collaboration of various domain experts was essential for leveraging complex data for an informed decision-making visualization.

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Author Biographies

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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Published

2024-10-07

How to Cite

Giannella, J., Illarramendi, X., Mauro, R., Barcellos Oliveira, L., Falconieri, I., Esperança, C., & Kosminsky, D. (2024). Problem-driven visualization design of health and pollution big data. InfoDesign - Journal of Information Design, 21(2). https://doi.org/10.51358/id.v21i2.1131

Issue

Vol. 21 No. 2 (2024)

Section

Articles

License

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

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

Attribution 3.0 Unported (CC BY 3.0)