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