Pre-Approved Workshops

These workshops were pre-approved by the VIS Executive Committee. Please visit their individual websites for details on the topics and submission deadlines.

Accepted Workshops

These workshops went through our submission/review process. Please visit their individual websites for details on the topics and submission deadlines, or contact the organizers directly if no website is available yet.

BELIV 2022: 9th Workshop on evaluation and BEyond - methodoLogIcal approaches for Visualization

Anastasia Bezerianos, Université Paris Saclay
Kyle Hall, University of Calgary
Samuel Huron, Télécom ParisTech
Matthew Kay, Northwestern University
Miriah Meyer, Linköping University,


BELIV 2022 is the international forum to broadly discuss research methods in visualization. Our discussions span from novel and not-yet fully established evaluation methods for visualization tools and techniques, to methods that more generally establish the validity and scope of acquired visualization knowledge. BELIV supports contributions and discussions from the rich spectrum of visualization researchers, embracing the varied ways that researchers self-identify with respect to the main conference tracks at VIS.

VIS4DH: 7th Workshop on Visualization for the Digital Humanities

Alfie Abdul-Rahman, King’s College London
Houda Lamqaddam, KU Leuven


The VIS4DH workshop brings together researchers and practitioners from the fields of visualization and the humanities to discuss new research directions at the intersection of visualization and (digital) humanities research.

VISxAI: 5th Workshop on Visualization for AI Explainability

Adam Perer, Carnegie Mellon University
Angie Boggust, Massachusetts Institute of Technology
Fred Hohman, Apple
Hendrik Strobelt, MIT-IBM Watson AI Lab
Mennatallah El-Assady, ETH AI Center
Zijie Jay Wang, Georgia Tech


The role of visualization in artificial intelligence (AI) gained significant attention in recent years. With the growing complexity of AI models, the critical need for understanding their inner-workings has increased. Visualization is potentially a powerful technique to fill such a critical need.

The goal of this workshop is to initiate a call for “explainables” / “explorables” that explain how AI techniques work using visualization. We believe the VIS community can leverage their expertise in creating visual narratives to bring new insight into the often obfuscated complexity of AI systems.

VisGuides: 4th IEEE Workshop on Visualization Guidelines Visualization Guidelines in Research, Design, and Education

Benjamin Bach, The School of Informatics, University of Edinburgh
Alfie Abdul-Rahman, Department of Informatics, King’s College London
Alexandra Diehl, University of Zurich


alt.VIS 2022

Lonni Besançon, Linköpings Universitet
Andrew M McNutt, Computer Science, University of Chicago
Arnaud Prouzeau, Potioc, Inria
Jane L. Adams, Complex Systems Center, University of Vermont
Derya Akbaba, School of Computing, University of Utah
Charles Perin, Department of Computer Science, University of Victoria


Visualization in BioMedical AI

Qianwen Wang, Biomedical Informatics, Harvard Medical School
Vicky Yao, Computer Science, Rice University
Bum Chul Kwon, IBM Research
Nils Gehlenborg, Biomedical Informatics, Harvard Medical School


NLVIZ Workshop: Exploring Research Opportunities for Natural Language, Text, and Data Visualization

Vidya Setlur, Tableau Research
Arjun Srinivasan, Tableau Research


Fifth Workshop on Visualization for Communication (VisComm)

Barbara Millet, School of Communication, University of Miami
Jonathan Schwabish, Urban Institute
Alvitta Ottley, Department of Computer Science and Engineering, Washington University in St. Louis
Alice Feng, Urban Institute


Viz4Climate - Workshop on High-Impact Techniques for Visual Climate Science Communication

Helen-Nicole Kostis, Scientific Visualization Studio, NASA Goddard Space Flight Center
Dr. Mark SubbaRao, Scientific Visualization Studio, NASA Goddard Space Flight Center
Marlen Promann, Computer Graphics Technology, Purdue University


Communicating climate science to the general public is necessary to enhance salience, understanding, and engagement and to accelerate action. Visualizations of climate data offer an integral way of communicating climate change findings to diverse audiences; however it is challenging due to the multi-dimensionality of data, the complexity of science, the diversity of users, their biases, and needs across different stakeholder groups. While graphics support thinking and enhance storytelling, creating data visualizations of climate data that can overcome comprehension difficulties, avoid misconceptions, preserve scientific integrity, and instill trust remains a challenge. This half-day workshop aims to establish a community of practice around data-driven visual climate science communication and in so doing address one of the grand challenges in our era. The workshop seeks to define what ‘high impact’ means in the domain of climate science communication, and to unpack the techniques, methods, and challenges for achieving it. The mission is to pull expertise from within IEEE Vis, bridge the gap between research and practice, and others who typically do not attend the conference, share lessons learned, identify directions for research, foster collaborations, and understand where and what we should do better as a community of practice.

TREX: Workshop on TRust and EXpertise in Visualization

Mahsan Nourani, University of Florida, Gainesville
Eric Ragan, University of Florida, Gainesville
Alireza Karduni, Computer Science, Northwestern University
Cindy Xiong, College of Information and Computer Sciences, University of Massachusetts Amherst
Brittany Davis, Pierson Pacific North National Lab


TopoInVis – Topological Data Analysis and Visualization

Talha Bin Masood, Department of Science and Technology, Linköping University
Vijay Natarajan, Indian Institute of Science
Paul Rosen, University of South Florida
Julien Tierny, CNRS, Paris, France Sorbonne Université


Visualization for Social Good 2022

Leilani Battle, Paul G. Allen School of Computer Science & Engineering, University of Washington
Michelle A. Borkin, Khoury College of Computer Sciences, Northeastern University
Lane Harrison, Worcester Polytechnic Institute
Narges Mahyar, College of Information and Computer Sciences, University of Massachusetts Amherst
Dr. Emily Wall, Emory University


Visualization in Testing of Hardware, Software, and Manufacturing

Katherine E. Isaacs, Computer Science, University of Arizona
Steffen Koch, University of Stuttgart
Timo Ropinski, Visual Computing Group, Ulm University
Stefan Wagner, Institute of Software Engineering, University of Stuttgart
Daniel Weiskopf, University of Stuttgart