IEEE Workshop on Uncertainty Visualization: How to Make it Interpretable, Integrable, and Accessible? in conjunction with IEEE VIS 2026, Boston, USA
Organization Workshop Chairs General Chairs Co-chairs Workshop Program Committee Chisom Anyabolu Center for Artificial Intelligence in Public Health Research (ZKI-PH), Robert Koch Institute, Berlin, Germany Stephen Brooks Dalhousie University, Halifax, Nova Scotia, Canada Mohammad Eslami Harvard Medical School, Boston, Massachusetts, United States Marina Evers University of Siegen, Siegen, Germany Benjamin Files U.S. DEVCOM Army Research Lab, Los Angeles, California, United States Thomas Höllt University of Bergen, Bergen, Norway Ingrid Hotz Linköping University, Norrköping, Sweden Alireza Karduni School of Interactive Arts and Technology, Simon Fraser University, Surrey, British Columbia, Canada Daniel Klötzl Visualization Research Center, University of Stuttgart, Stuttgart, Baden-Württemberg, Germany Jixian Li Texas Advanced Computing Center, University of Texas at Austin, Austin, Texas, United States Zhimin Li Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States Jacob Miller Technical University of Munich, Heilbronn, BW, Germany Sam Molnar National Laboratory of Rockies, Golden, Colorado, United States Sudhanshu Sane Luminary, San Mateo, California, United States Anna Sterzik ScaDS.AI, Leipzig University, Leipzig, Germany Kaiyuan Tang University of Notre Dame, Notre Dame, Indiana, United States Sita Vriend VISUS, University of Stuttgart, Stuttgart, Germany Dongping Zhang Northwestern University, Evanston, Illinois, United States Eugene Zhang Oregon State University, Corvallis, Oregon, United States Liang Zhou National Institute of Health Data Science, Peking University, Beijing, China