Red Alert! Unveiling Insights in Violence Against Women through Interactive Data Visualization
DOI:
https://doi.org/10.5753/jis.2025.5221Keywords:
Government Data, Violence Against Women, Open Data, Interactive Data VisualizationAbstract
Governments nowadays make several open data sets available, including data on reports of violence against women. Such a type of violence is considered a public health and safety problem and requires approaches that help identify behavioral patterns, trends, and profiles of victims and perpetrators. The analysis of this type of data can be facilitated with the use of interactive visualization. Visual representation techniques enable the identification of patterns and trends, providing insights that aid decision-making. Given this context, this paper proposes using interactive visualization techniques to explore government data on violence against women, aiming at a better understanding and preventive actions. Data obtained from the Women’s Service Center (Call 180) can be explored through a set of dashboards called MARIA (Mapping and Analysis of Risks and Insights on Abuse Against Women), which reveal hidden insights and patterns, helping to identify vulnerabilities. The purpose is to foster more knowledge about this data to develop strategies to prevent and combat violence against women. Interviews with domain experts have shown that MARIA is easy to use, contributes to data knowledge, and provides insights consistent with reality.
Downloads
References
Burke, E., Watson, K., Eva, G., Gold, J., Garcia-Moreno, C., and Amin, A. (2024). Is addressing violence against women prioritised in health policies? Findings from a WHO policies database. PLOS Global Public Health, 4(2):1–13. DOI: https://doi.org/10.1371/journal.pgph.0002504.
Clark, C. J., Wetzel, M., Renner, L. M., et al. (2019). Linking partner violence survivors to supportive services: Impact of the mHealth community network project on healthcare utilization. BMC Health Services Research, 19(1):479. DOI: https://doi.org/10.1186/s12913-019-4313-9.
de Almeida Teles, M. A. and de Melo, M. (2017). O que é violência contra a mulher. Primeiros Passos. Brasiliense.
D’Ignazio, C. (2017). Creative data literacy: Bridging the gap between the data-haves and data-have-nots. Information Design Journal, 23(1):6–18. DOI: https://doi.org/10.1075/idj.23.1.03dig.
Júnior, A. P. and Ribeiro, F. (2019). Análises de dados de violência doméstica com o uso de aprendizagem de máquina: um mapeamento sistemático. In Anais da VII Escola Regional de Computação do Ceará, Maranhão e Piauí, pp. 143–150, Porto Alegre, RS, Brasil. SBC.
Kasiselvanathan, M., Sundari, S., Ramalakshmi, R., and Tarunika, R. S. (2023). Foretelling femicides using data mining and machine learning. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), pp. 559–564. DOI: https://doi.org/10.1109/ICAISS58487.2023.10250716.
Keim, D., Kohlhammer, J., Ellis, G., and Mansmann, F. (2010). Mastering the Information Age: Solving Problems with Visual Analytics. Eurographics Association.
Kirk, A. (2016). Data Visualization: A Handbook for Data-Driven Design. SAGE Publications, 1st edition.
Lazar, J., Feng, J., and Hochheiser, H. (2017). Research Methods in Human-Computer Interaction. Elsevier Science.
Leite, F., Garcia, M. T. P., Cavalcante, G., Venturin, B., Pedroso, M., Gomes, E., and Tavares, F. L. (2023). Violência recorrente contra mulheres: análise dos casos notificados. Acta Paulista de Enfermagem, 36:eAPE009232. DOI: https://doi.org/10.37689/acta-ape/2023AO009232.
Liu, S., Maljovec, D., Wang, B., Bremer, P.-T., and Pascucci, V. (2017). Visualizing high-dimensional data: Advances in the past decade. IEEE Transactions on Visualization and Computer Graphics, 23(3):1249–1268. DOI: https://doi.org/10.1109/TVCG.2016.2640960.
Maxwell, J. A. (2009). Designing a qualitative study. In The SAGE Handbook of Applied Social Research Methods, 2:214–253. DOI: https://doi.org/10.4135/9781483348858.n7.
Medeiros, A. M., Júnior, J. L. d. S., Andrade, M. C. M. A. d., Costa, S. W. d., Costa, F. A. R., Neto, N. C. S., and Seruffo, M. C. d. R. (2024). Application of a multicriteria decision model for the classification of Paraíba’s municipalities as to the occurrence of domestic and family violence against women. Journal on Interactive Systems, 15(1):323–332. DOI: https://doi.org/10.5753/jis.2024.3740.
Mendoza, I., Corrêa, R., and Bernardini, F. (2023). Como a governança de dados pode auxiliar na mitigação de barreiras de uso de portais de dados governamentais abertos? Uma análise da literatura. In Anais do XI Workshop de Computação Aplicada em Governo Eletrônico, pp. 212–223, Porto Alegre, RS, Brasil. SBC. DOI: https://doi.org/10.5753/wcge.2023.229862.
Montenegro, T. C. (2021). Violência contra a mulher: Análise comparativa de dados públicos antes e durante a pandemia de covid-19. Monografia (Trabalho de Conclusão de Curso). [link]. Access on 12 July 2025.
Moroskoski, M., Neto, F. C., Machado de Brito, F. A., Ferracioli, G. V., de Oliveira, N. N., de Carvalho Dutra, A., Baldissera, V. D. A., and de Oliveira, R. R. (2022). Lethal violence against women in southern Brazil: Spatial analysis and associated factors. Spatial and Spatio-temporal Epidemiology, 43:100542. DOI: https://doi.org/10.1016/j.sste.2022.100542.
Méndez, G. G., Calle, A., Rizzo, H., and Chonillo, G. (2023). Data tool for exploring gender violence in Ecuador: Insights from a qualitative observation. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–7. DOI: https://doi.org/10.23919/CISTI58278.2023.10211396.
North, C. and Shneiderman, B. (2000). Snap-together visualization: A user interface for coordinating visualizations via relational schemata. In Proceedings of the Working Conference on Advanced Visual Interfaces, pp. 128–135, New York, NY, USA. Association for Computing Machinery. DOI: https://doi.org/10.1145/345513.345282.
Patricio, E., Zurawski, G., Rollwagen, A., and Manssour, I. (2024). Explorando dados governamentais para prevenção da violência de gênero: Uma abordagem visual. In Anais do XII Workshop de Computação Aplicada em Governo Eletrônico, pp. 145–156, Porto Alegre, RS, Brasil. SBC. DOI: https://doi.org/10.5753/wcge.2024.2966.
Pentland, A. (2013). The data-driven society. Scientific American, 309(4):78–83. DOI: https://doi.org/10.1038/scientificamerican1013-78.
Rios, A. M. F. M., Crespo, K. C., Martini, M., Telles, L. E. D. B., and Magalhães, P. V. S. (2023). Gender-related and non-gender-related female homicide in Porto Alegre, Brazil, from 2010 to 2016. PLOS ONE, 18(3):1–12. DOI: https://doi.org/10.1371/journal.pone.0281924.
Sardinha, L., Maheu-Giroux, M., Stöckl, H., Meyer, S. R., and García-Moreno, C. (2022). Global, regional, and national prevalence estimates of physical or sexual, or both, intimate partner violence against women in 2018. The Lancet, 399(10327):803–813. DOI: https://doi.org/10.1016/S0140-6736(21)02664-7.
Sarikaya, A., Correll, M., Bartram, L., Tory, M., and Fisher, D. (2019). What do we talk about when we talk about dashboards? IEEE Transactions on Visualization and Computer Graphics, 25(1):682–692. DOI: https://doi.org/10.1109/TVCG.2018.2864903.
Soares, G. and de Medeiros Filho, F. (2020). Governança inteligente com análise e integração de dados: Uma revisão sistemática de literatura. In Anais do VIII Workshop de Computação Aplicada em Governo Eletrônico, pp. 132–139, Porto Alegre, RS, Brasil. SBC. DOI: https://doi.org/10.5753/wcge.2020.11264.
Tidwell, J. (2011). Designing Interfaces: Patterns for Effective Interaction Design. O’Reilly Media, Inc.
Tufte, E. R. (2001). The Visual Display of Quantitative Information. Graphics Press, 2nd edition.
Vasconcelos, N. M. d., Andrade, F. M. D. d., Gomes, C. S., Bernal, R. T. I., and Malta, D. C. (2022). Violência física contra mulheres perpetrada por parceiro íntimo: Análise do VIVA Inquérito 2017. Ciência & Saúde Coletiva, 27(10):3993–4002. DOI: https://doi.org/10.1590/1413-812320222710.08162022.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Gabriel Zurawski, Vinícius Pedroso, Eduarda Patricio, Giovanna Castro, André F. Rollwagen, Isabel H. Manssour

This work is licensed under a Creative Commons Attribution 4.0 International License.
JIS is free of charge for authors and readers, and all papers published by JIS follow the Creative Commons Attribution 4.0 International (CC BY 4.0) license.


