iVis-VA Reading Group
During the autumn term 2024, the iVis group is initiating a reading group with a Visual Analytics (VA) focus.
The plan is to start with some theoretical papers and transition into discussing contributions in both VA theory and practice from venues such as IEEE VIS, EuroVis, TVCG, CGF, CG&A.
Everyone interested in the topic is welcome to join. PhD students at LiU will be able to get course credits for active participation.
In order to join the reading group, please contact Dr. Katerina Vrotsou or Dr. Kostiantyn Kucher.
| Date & time | Room | Paper |
|---|---|---|
| 2024-10-07 10:00–11:00 | KO301 | D. Sacha, A. Stoffel, F. Stoffel, B. C. Kwon, G. Ellis and D. A. Keim, "Knowledge Generation Model for Visual Analytics," in IEEE Transactions on Visualization and Computer Graphics, vol. 20, no. 12, pp. 1604-1613, 31 Dec. 2014, doi:10.1109/TVCG.2014.2346481. |
| 2024-11-04 09:30–11:00 | KO301 | R. Amar, J. Eagan and J. Stasko, "Low-level components of analytic activity in information visualization," IEEE Symposium on Information Visualization, 2005, pp. 111-117, doi: 10.1109/INFVIS.2005.1532136. |
| 2024-12-02 09:30–11:00 | KO301 | E. Dimara and J. Stasko, "A Critical Reflection on Visualization Research: Where Do Decision Making Tasks Hide?," in IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 1128-1138, Jan. 2022, doi: 10.1109/TVCG.2021.3114813. |