Program

Keynote

Presenter: Prof. Dr. Daniel Weiskopf [Visualization Research Center (VISUS), University of Stuttgart]

https://www.visus.uni-stuttgart.de/

Title: Uncertainty Visualization: The Importance of Quantification

Bio: Daniel Weiskopf is a professor and director of the Visualization Research Center (VISUS) at the University of Stuttgart, Germany. He received his Dr. rer. nat. (PhD) degree in physics from the University of Tübingen, Germany (2001), and the Habilitation degree in computer science at the University of Stuttgart, Germany (2005). His research interests include visualization, visual analytics, eye tracking, human-computer interaction, computer graphics, augmented and virtual reality, and special and general relativity. He is spokesperson of the DFG-funded Collaborative Research Center SFB/Transregio 161 “Quantitative Methods for Visual Computing” (www.sfbtrr161.de), which covers basic research on visualization including uncertainty visualization.

Paper Presentations

Each full paper presentation will be 7 mins including Q&A. Each short paper presentation will be for 6 mins including Q&A.

¹Tadea Schmitz and Tim Gerrits, "Exploring Uncertainty Visualization for Degenerate Tensors in 3D Symmetric Second-Order Tensor Field Ensembles" [full paper, 9:05am-9:12am]

²Sam Molnar, J.D. Laurence-Chasen, Yuhan Duan, Julie Bessac, and Kristi Potter, "Uncertainty Visualization Challenges in Decision Systems with Ensemble Data & Surrogate Models" [short paper, 9:12am-9:18am]

³Chase Stokes, Chelsea Sanker, Bridget Cogley, and Vidya Setlur, "Voicing Uncertainty: How Speech, Text, and Visualizations Influence Decisions with Data Uncertainty" [full paper, 9:18am-9:25am]

⁴Laura Matzen, Dr. Mallory C Stites, Kristin M Divis, Alexander Bendeck, John Stasko, and Lace M. Padilla, "Effects of Forecast Number, Order, and Cost in Multiple Forecast Visualizations" [full paper, 9:25am-9:32am]

⁵Mengjiao Han, Tushar M. Athawale, Jixian Li, and Chris R. Johnson, "Accelerated Depth Computation for Surface Boxplots with Deep Learning" [short paper, 9:32am-9:38am]

⁶Gautam Hari, Nrushad A Joshi, Zhe Wang, Qian Gong, David Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, and Tushar M. Athawale, "FunM^2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices " [short paper, 9:38am-9:44am]

Lightning Talks

Each talk will be 90 seconds.

⁷Patrick Paetzold, David Hägele, Marina Evers, Daniel Weiskopf, and Oliver Deussen, "UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox" [poster]

⁸Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, and Chris R. Johnson, "Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods" [full paper]

⁹Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, and Chris R. Johnson, "Uncertainty-Informed Volume Visualization using Implicit Neural Representation" [full paper]

¹⁰Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart van Bloemen Waanders, and Chris R. Johnson, "Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Field" [short paper]

¹¹Robert Sisneros, Tushar M. Athawale, Kenneth Moreland, and David Pugmire, "An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations" [short paper]

¹²Jixian Li, Timbwaoga A. J. Ouermi , and Chris R. Johnson, "Visualizing Uncertainties in Ensemble Wildfire Forecast Simulations" [short paper]

Panel Session

Panelists: Dr. Han-Wei Shen, Dr. Matthew Kay, Dr. Lace Padilla, Dr. Gerik Scheuermann

Dr. Han-Wei Shen is a Full Professor at The Ohio State University, and currently serves as the Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics. He is a member of IEEE VGTC Visualization Academy, and was the chair of the steering committee for IEEE SciVis conference from 2018-2020. His primary research interests are scientific visualization and computer graphics. Professor Shen is a winner of National Science Foundation's CAREER award and US Department of Energy's Early Career Principal Investigator Award. He has served as an Associate Editor for IEEE Transactions on Visualization and Computer Graphics, a paper chair for IEEE Visualization, IEEE Pacific Visualization, and IEEE Parallel Visualization and Graphics. He is currently on the IEEE Visualization conference executive committee, and IEEE SciVis steering committee. He has published more than 50 papers in IEEE Transactions on Visualization and Computer Graphics and IEEE Visualization conference, the very top journal and conference. He received his BS degree from Department of Computer Science and Information Engineering at National Taiwan University in 1988, the MS degree in computer science from the State University of New York at Stony Brook in 1992, and the PhD degree in computer science from the University of Utah in 1998. From 1996 to 1999, he was a research scientist at NASA Ames Research Center in Mountain View California.

Dr. Matthew Kay is an Associate Professor jointly appointed in Computer Science and Communications Studies at Northwestern University. He works in human-computer interaction and information visualization, with a particular focus on uncertainty visualization, visualization literacy, and the design of human-centered tools for data analysis. His research has been funded by multiple NSF awards, and he has received multiple best paper awards across human-computer interaction and information visualization venues, including ACM CHI, IEEE VIS, and UbiComp. He also received the 2023 IEEE VGTC Significant New Researcher Award. He co-directs the Midwest Uncertainty Collective (https://mucollective.northwestern.edu/) and is the author of the tidybayes (https://mjskay.github.io/tidybayes/) and ggdist (https://mjskay.github.io/ggdist/) R packages for visualizing Bayesian statistical model output and uncertainty.

Dr. Lace Padilla joined Northeastern University in 2023 as an Assistant Professor of Computer Science and Psychology where she is a member of Data Visualization Lab @Khoury. Her interests lie in the intersection between information visualization, behavioral decision making, and data science. Her research on uncertainty communication explores how to align data visualizations of future events with human decision-making capabilities. She has received the best paper award at IEEE VIS, honorable mentions, an APA Early Career Award, and a NSF CAREER Award. She is the PI and Co-Pi on several other grants funded by NSF and DOE.

Dr. Gerik Scheuermann is a Full Professor for Computer Science at Leipzig University, Germany, since 2024. He holds a PhD in CS from TU Kaiserslautern. His research interests concern scientific visualization, information visualization, visual analytics and data science with a focus on topological, algebraic and stochastic methods with a special interest in dealing with uncertainty in recent years. Applications concern structural mechanics, geomechanics, fluid dynamics, climate research, earth sciences, bioinformatics, neuroscience, and digital humanities. He served as paper co-chair for all major visualization conferences, and as associated editor for the major journals in the field. He co-organized IEEE VIS 2018 in Berlin, founded the EnvirVis workshop series and was the main organizer of EuroVis 2013 and 2023 in Leipzig.

Capstone

Presenter: Dr. Jessica Hullman [Ginni Rometty Professor, Northwestern University]

http://users.eecs.northwestern.edu/~jhullman/

Title: The meaning of quantified uncertainty is its use

Bio: Jessica Hullman is Ginni Rometty Professor of Computer Science and a Fellow at the Institute for Policy Research at Northwestern University. Her work develops interface tools and theoretical frameworks for helping people combine their knowledge with statistical models. Jessica's work has been awarded best paper awards at top visualization and HCI venues, a Microsoft Faculty award and NSF CAREER, Medium, and Small awards as PI, among others.