Category: Publication

Methods for Interventions using Networks to Improve Health: a narrative synthesis of methodological research on network data collection, visualisation and intervention

Riddell J, Letina S, Skivington K, Archambault D, Wells V, Long E, Hunter R, McCann M, MINI team. Methods for Interventions using Networks to Improve Health: a narrative synthesis of methodological research on network data collection, visualisation and intervention. Social Networks 2026, 84, 202-219. 10.1016/j.socnet.2025.10.003

ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts

Zhu, J., Cheng, X., Luo, Z., Zhou, Y., Shu, X., Weng, D., & Wu, Y. (2025). ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts. Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, 1–16. https://doi.org/10.1145/3746059.3747689

DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models

Xie, L., Lin, Y., Liu, C., Qu, H., & Shu, X. (2025). DataWink: Reusing and Adapting SVG-based Visualization Examples with Large Multimodal Models. IEEE Transactions on Visualization and Computer Graphics, 1–11. https://doi.org/10.1109/TVCG.2025.3634635

Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction

Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Navigating high-dimensional backstage: A guide for exploring literature for the reliable use of dimensionality reduction. EuroVis 2025 – Short Papers. https://doi.org/10.2312/EVS.20251087

Co-creating the visualisation of digital mobility outcomes: Delphi-type process with patients

Lumsdon, J., Wilson, C., Alcock, L., Becker, C., Benvenuti, F., Bonci, T., Van Den Brande, K., Brittain, G., Brown, P., Buckley, E., Caruso, M., Caulfield, B., Cereatti, A., Delgado-Ortiz, L., Del DIn, S., Evers, J., Garcia-Aymerich, J., Gaßner, H., Gur Arieh, T., … Cantu, A. (2025). Co-creating the visualisation of digital mobility outcomes: A Delphi-type process with patients. JMIR Formative Research. https://doi.org/10.2196/68782

Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction

Jeon, H., Lee, H., Kuo, Y.-H., Yang, T., Archambault, D., Ko, S., Fujiwara, T., Ma, K.-L., & Seo, J. (2025). Unveiling high-dimensional backstage: A survey for reliable visual analytics with dimensionality reduction. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–24. https://doi.org/10.1145/3706598.3713551