Workshops

Attendance

At least one author for each paper must register and attend the conference in person. If you have exceptional circumstances and none of the authors can attend in person please contact the conference committee as soon as possible at info@ieeevis.org.

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

The following workshops went through our submission/review process.

VIS4DH: 8th Workshop on Visualization for the Digital Humanities

Monday, October 23, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Alfie Abdul-Rahman, King’s College London
Eric Alexander, Carleton College

Contact: vis4dh@gmail.com

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.

TopoInVis: Workshop on Topological Data Analysis and Visualization

Sunday, October 22, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Paul Rosen, University of South Florida
Guoning Chen, University of Houston

Contact: topoinvis@ieeevis.org

The IEEE VIS Workshop on Topological Data Analysis and Visualization aims at being an inclusive forum for the fast dissemination of the latest results in theory, algorithms, and applications of topological methods for the interactive and visual analysis of data. This workshop is a remodeling of the established TopoInVis workshop series, with the goal of being more diverse (in terms of applications) and inclusive (in terms of communities), with a clear will to open to other members of the visualization community potentially interested in topological methods, or experts in topological methods from other communities willing to experiment with interactive and visual applications.

VAHC: 14th Workshop on Visual Analytics in Healthcare

Sunday, October 22, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Jürgen Bernard, University of Zurich
Annie T. Chen, University of Washington
Danny T.Y. Wu, University of Cincinnati College of Medicine

Contact: vahc.sig@gmail.com

The Workshop on Visual Analytics in Healthcare is the premier research event exploring the application of interactive data visualization and visual analytics to healthcare and biomedicine. VAHC will bring together medical experts, leading scientists, and visionaries to discuss opportunities and challenges in using visual analytics techniques to help patients, clinicians, public health researchers, and others leverage the power of complex health datasets.

This year, the special focus of VAHC is on the interactive visualization of health data for digital and personal health.

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

Sunday, October 22, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Vidya Setlur, Tableau Research, Palo Alto, California, United States
Arjun Srinivasan, Tableau Research, Seattle, Washington, United States

Contact: vsetlur@tableau.com

Natural language processing (NLP) has evolved as a promising field for visual analysis and communication. The applications of NLP for supporting various aspects of the visual analysis workflow include helping readers take away key information from charts or dashboards, supporting interaction modalities that help people naturally ``ask” questions of their data, generating data summaries and insight reports, and exploring ways to enrich the semantics of data, among others. With data-driven communication being more important than ever, how do we treat text and language as first-class citizens in helping people see and understand data? How do we couple language and charts to make the data more accessible to a variety of audiences with different needs, capabilities, and skills? As the field of NLP matures, computers now have an increased capability of interpreting language and engaging in conversations with people. But can NLP techniques and interactive visualizations work in concert to support an analytical conversation? As the platforms and channels for exploring data go beyond the desktop to chat interfaces, augmented and virtual reality environments, mobile, and large displays, how do we better understand user intent, modalities, and context to make these interactions more delightful and meaningful?

Addressing these questions calls for research at the intersection of human-computer interaction, information visualization, and NLP, three fields with natural synergies but rather infrequent meetings. This workshop will assemble an interdisciplinary community that promotes collaboration across these fields, explore research opportunities and challenges, and continue to establish an agenda for NLP research specifically for data visualization.

Visualization for Social Good

Monday, October 23, 2023: 9:00 AM-12:00 PM AEDT (UTC+11)

Evanthia Dimara, Department of Information and Computing Sciences / Visualization and Graphics Group (VIG), Utrecht University, Utrecht, Netherlands
Uzma Haque Syeda, Khoury College of Computer and Information Sciences, Northeastern University, Boston, Massachusetts, United States
Narges Mahyar, College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States
Delvin Varghese, Action Lab, Monash University, Melbourne, Victoria, Australia
Emily Wall, Emory University, Atlanta, Georgia, United States

Contact: emily.wall@emory.edu

Data is an inescapable part of our lives: it guides commerce, government, and technology, and increasingly determines what lives we can (or cannot) live. Data visualization has a special place within this emerging, data-driven, order: as a tool to inform or persuade mass audiences, guide or enlighten the specialist, or give a voice to the unheard. We therefore pose the question: how can visualization, and visualization research, help us build the worlds we want? This theme, building just and equitable futures, is the motivation behind the third edition of our recurring workshop at IEEE VIS: Visualization for Social Good. Our workshop series has been successful not only at showcasing high-quality socially-minded visualization research from diverse voices, but also in starting important conversations around the role of data visualization as a force for good in society at large. We invite you to join our workshop and growing community on Visualization for Social Good, to navigate conversations about the role of data in human dignity and flourishing.

Visualization for Pandemic and Emergency Responses Workshop (Vis4PandEmRes)

Sunday, October 22, 2023: 9:00 AM-12:00 PM AEDT (UTC+11)

Alfie Abdul-Rahman, Department of Informatics, King’s College London, London, United Kingdom
Kelly Gaither, Texas Advanced Computing Center, University of Texas at Austin, Austin, Texas, United States
Wolfgang Jentner, University of Konstanz, Konstanz, Germany
Tobias Schreck, Graz University of Technology, Graz, Austria
Min Chen, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
David Ebert, University of Oklahoma, Oklahoma, Oklahoma, United States

Contact: alfie.abdulrahman@kcl.ac.uk

There have been many VIS R&D activities for supporting COVID-19 pandemic responses, many of which have not yet become public knowledge. This workshop will enable VIS researchers and practitioners to share their experience, knowledge, and reflection and offer their insight and foresight about the role of VIS in pandemic and emergency responses. It will also allow the VIS community to compile one or more archivable collections of records about various VIS activities around the world during the COVID-19 pandemic.

alt.VIS 2023

Monday, October 23, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Andrew M McNutt, Computer Science, University of Chicago, Chicago, Illinois, United States
Lonni Besançon, Department of Science and Technology, Linköping University, Norrköping, Sweden
Derya Akbaba, Dept. of Science & Technology, Linköping University, Norrköping, Sweden
Sara Di Bartolomeo, Khoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, United States
Victor Schetinger, TU Wien, Institute of Visual Computing and Human-Centered Technology, Vienna, Austria

Contact: mcnutt@uchicago.edu

Often the most transformative ideas and challenges come from unexpected and serendipitous sources. Yet, conferences are not often perceived as a place for non-traditional, controversial, or outré work. We propose to continue the success of the last two year’s “alt.VIS’” workshops that borrowed from the long-running and successful “alt.chi” model from the ACM SIGCHI conference. This venue will once again provide an avenue for surfacing creative or critical work that would otherwise not find a home through the standard VIS conference review process.

Sixth Workshop on Visualization for Communication (VisComm)

Sunday, October 22, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Paul Parsons, Computer Graphics Technology, Purdue University, West Lafayette, Indiana, United States
Jon Schwabish, Urban Institute, Washington, District of Columbia, United States
Alvitta Ottley, Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, Missouri, United States
Alice Feng, Urban Institute, Washington, District of Columbia, United States

Contact: viscomm_chairs@googlegroups.com

The VisComm workshop brings together practitioners and researchers from several fields to address the questions raised by the rapidly growing communicative uses of visualization, from internal research and analysis to news graphics to interactive dashboards to standalone static representations in blogs and social media. These questions span audience, application, evaluation, understanding, and practice. To encourage participation from communities that do not typically attend IEEE VIS and write academic papers, we will accept short papers, briefs on works in progress, visual case studies, and recruit program committee members from those communities.

EnergyVis 2023: 3rd Workshop on Energy Data Visualization

Sunday, October 22, 2023: 9:00 AM-12:00 PM AEDT (UTC+11)

Kenny Gruchalla, Computational Science Center, National Renewable Energy Lab, Golden, Colorado, United States
Arnaud Prouzeau, Potioc, Inria, Bordeaux, France
Lyn Bartram, School of Interactive Art and Technology, Simon Fraser University, Surrey, British Columbia, Canada
Sarah Goodwin, Monash University, Melbourne, Australia

Contact: kenny.gruchalla@nrel.gov

The energy sector is witnessing significant technological progress, primarily driven by the growth of renewable energy, distributed energy resources, and smart grid technologies. This rapid evolution is generating increasingly large, complex data that present substantial challenges for energy systems planning and operations. More research is needed to develop new and innovative visualization methods that can handle the increasing complexity of energy systems and provide diverse stakeholders with the necessary insights to make informed decisions about the future of energy. The EnergyVis 2023 workshop aims to bring together scientists, researchers, and practitioners from the energy and visualization domains to critically assess and discuss energy data visualization in the context of the evolving energy sector. The workshop’s main objectives will be to seed the development of a publishable report on the state-of-the-art and grand challenges in energy data visualization and to develop stronger international collaborations for this important area of multidisciplinary research. With the rapid evolution of energy systems, visualization experts have an essential role in enabling stakeholders to better understand and manage these increasingly complex systems. By expanding the reach of EnergyVis to the broader visualization community at IEEE VIS, we hope to continue the momentum of the past workshops and build a community of experts capable of tackling the visualization challenges of modern energy systems.

EduVis: Workshop on Visualization Education, Literacy, and Activities

Monday, October 23, 2023: 9:00 AM-12:00 PM AEDT (UTC+11)

Mandy Keck, University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Hagenberg im Mühlkreis, Austria
Samuel Huron, Dpt. SES, CNRS i3, Télécom Paris, Institut Polytechnique de Paris, Palaiseau, ile de France, France
Georgia Panagiotidou, UCL Interaction Centre, London, United Kingdom
Christina Stoiber, Institute of CreativeMedia/Technologies , St. Poelten University of Applied Sciences, St. Poelten, Austria
Fateme Rajabiyazdi, Carleton University, Ottawa, Ontario, Canada
Charles Perin, Department of Computer Science, University of Victoria, Victoria, British Columbia, Canada
Jonathan C Roberts, School of Computer Science and Electronic Engineering, Bangor University, Bangor, Gwynedd, United Kingdom
Benjamin Bach, School of Informatics, University of Edinburgh, Edinburgh, United Kingdom

Contact: mandy.keck@fh-hagenberg.at

This half-day workshop focuses on visualization education, literacy, and activities. It intends to bring together scholars to share research and experience and discuss novel activities, teaching methods, and research challenges. The workshop aims to serve as a platform for scholars within and beyond the visualization community such as education, learning analytics, science communication, psychology, or people from adjacent fields such as data science, AI, and HCI. It will include presentations of research papers and practical sessions with hands-on activities. In addition, the workshop will allow participants to discuss challenges they face in data visualization education and outline a research agenda of visualization education, literacy, and activities.

5th Workshop on Urban Data Visualization (CityVis)

Sunday, October 22, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Jessica Bou Nassar, Human-centred computing, Monash University, Clayton, VIC, Australia
Lyn Bartram, School of Interactive Art and Technology, Simon Fraser University, Surrey, British Columbia, Canada
Sebastian Meier, Interaction Design Lab, Potsdam University of Applied Sciences, Postdam, Germany
Darren Sharp, Monash Sustainable Development Institute, Monash University, Clayton, Victoria, Australia
Leonard Higi, Potsdam University of Applied Sciences, Postdam, Germany
Sarah Goodwin, Monash University, Melbourne, Australia

Contact: jessica.bounassar@monash.edu

With the growth and increasing density of urban areas, new technologies are emerging and data is becoming an essential asset to modern cities. Visualization as a tool for analysis, exploration and communication has become a driving force in the task of unravelling the complex urban fabrics that form our cities. In this workshop series, we want to critically assess this notion and ask how can data and data visualization be used to serve and better understand or even organize urban processes? We are particularly interested in multidisciplinary perspectives, especially on the human-centric component of urban visualizations. In the second workshop at IEEE VIS 2019, we explored roles of citizens in urban visualizations and outlined goals and challenges. Based on these findings, we propose to focus discussions in this 5th workshop on the critical role of urban data governance and its interplay in data and data visualisation: its production, dissemination and use.

MERCADO: Multimodal Experiences for Remote Communication Around Data Online

Sunday, October 22, 2023: 9:00 AM-12:00 PM AEDT (UTC+11)

Matthew Brehmer, Tableau Research, Seattle, Washington, United States
Maxime Cordeil, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
Christophe Hurter, ENAC, Université de Toulouse, Toulouse, France
Takayuki Itoh, Ochanomizu University, Tokyo, Japan

Contact: mercadoworkshop@googlegroups.com

MERCADO is a half-day workshop on the topic of new multimodal experiences for remote communication and collaboration around data. We aim to gather researchers working in data visualization, human-computer interaction (HCI), and computer-supported collaborative work (CSCW) who are interested in multimodal, synchronous, and remote or hybrid forms of communication and collaboration within organizational and educational settings.

VisxVision: Workshop on Novel Directions in Vision Science and Visualization Research

Monday, October 23, 2023: 2:00 PM-5:00 PM AEDT (UTC+11)

Ghulam Jilani Quadri, Department of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States
Clementine Zimnicki, Psychology Department, University of Wisconsin-Madison, Madison, Wisconsin, United States
Racquel Fygenson, Khoury College of Computer Science, Northeastern University, Boston, Massachusetts, United States
Madeline Awad, Psychology Department, Northwestern University., Evanston, Illinois, United States
Ouxun Jiang, Psychology Department, Northwestern University., Evanston, Illinois, United States

Contact: jiquad@cs.unc.edu

Interdisciplinary research between vision science and visualization aims to provide a better scientific understanding of how people interpret visualized data. By studying the cognitive processes involved in visual perception, visualization researchers can gain insight into better-adjusting visualizations to meet user goals. Topics from vision sciences, such as memory, ensemble coding, numerical cognition, color perception, and pattern recognition, can be mapped directly to common challenges encountered in visualization research. At the same time, interacting with visualization researchers exposes vision scientists to novel challenges and research questions in their own field. Building on the growing interest in work at this intersection from both the vision science and visualization communities, this 3rd biennial workshop at IEEE VIS 2023 aims to facilitate collaboration between the vision science and visualization communities by bringing in new researchers, discussing innovative discoveries, and sharing cutting-edge research methods and proposals. Through a multi-stage format, the workshop provides a platform for diverse voices to be heard and new collaborations to be formed.

(Vis + Prov) x Domain: Workshop on Visualization and Provenance Across Domains

Monday, October 23, 2023: 9:00 AM-12:00 PM AEDT (UTC+11)

Kai Xu, School of Computer Science, University of Nottingham, Nottingham, United Kingdom
Michelle Dowling, Pacific Northwest National Laboratory, Richland, Washington, United States
John Wenskovitch, Pacific Northwest National Laboratory, Richland, Washington, United States
Yilin Xia, School of Information Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Jeremy E Block, INDIE Lab, Department of Computer & Information Science & Engineering, Gainesville, Florida, United States

Contact: kai.xu@nottingham.ac.uk

The provenance-related research interest is growing rapidly within the visualization community. This is evidenced by a dedicated provenance paper track in IEEE VIS 2022, a large number of provenance-related publications in many visualization venues, and several provenance-related workshops at IEEE VIS such as Machine Learning from User Interaction for Visualization and Analytics (MLUI), Workshop on TRust and EXpertise in Visualization (TREX), and Workshop on Visualization for AI Explainability (VISxAI). Provenance is also an established topic in several other fields, for example data lineage in database community, interaction log for user studies in Human-Computer Interaction, and workflow history for e-Science. Recently, it gained growing research attention with the recognition of the important of reproducible science.