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| IEEE Symposium on Information Visualization | |
|---|---|
| Name | IEEE Symposium on Information Visualization |
| Discipline | Information visualization |
| Abbreviation | InfoVis |
| Publisher | IEEE Computer Society |
| Country | United States (primarily) |
| Frequency | Annual |
IEEE Symposium on Information Visualization
The IEEE Symposium on Information Visualization is an annual scientific conference focusing on information visualization, visual analytics, and related human–computer interaction research. Established to bring together researchers from venues such as SIGGRAPH, CHI, VLDB, KDD, and ICML, the symposium fosters interaction among practitioners affiliated with institutions like Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Carnegie Mellon University, and University of Toronto.
The symposium has roots in gatherings connected to organizations including the IEEE Computer Society, Association for Computing Machinery, Eurographics, ACM SIGCHI, and ACM SIGGRAPH and intersected with projects from laboratories such as PARC (Palo Alto Research Center), Bell Labs, Microsoft Research, IBM Research, Google Research, Yahoo! Research, and AT&T Labs. Early contributors hailed from universities such as University of Maryland, College Park, Georgia Institute of Technology, University of Michigan, Princeton University, University of Washington, University of Oxford, University of Cambridge, and ETH Zurich. The event evolved alongside milestones associated with conferences like IEEE VIS, EuroVis, PacificVis, VAST, and InfoVis 1995 and alongside award programs such as the ACM Turing Award winners who influenced visualization methodology. Key historical figures involved included researchers affiliated with groups around Ben Shneiderman, Stuart Card, Jock Mackinlay, Tamara Munzner, Heer, Jeffrey, and Martin Wattenberg.
Research presented spans intersections with venues and institutions such as ACM SIGMOD, ACM SIGKDD, NeurIPS, ICLR, IJCAI, AAAI, Utrecht University, University of Pennsylvania, Columbia University, Harvard University, Yale University, Princeton University Press authors, and industry partners including Apple Inc., Intel Corporation, NVIDIA, Facebook (Meta Platforms) Research, Amazon Web Services, and Salesforce Research. Topics include techniques related to work by authors from Microsoft Research Cambridge, Adobe Research, Siemens Corporate Technology, Hitachi Research, Samsung Research, and Toyota Research Institute. Specific areas overlap with contributions recognized in CHI Best Paper Awards, SIGGRAPH Papers, VLDB Best Paper Award contexts: visual analytics, graph drawing, multivariate visualization, information retrieval visualization, time-series visualization, large-scale data visualization, and perceptual studies influenced by labs at University College London, Imperial College London, Delft University of Technology, RWTH Aachen University, and Technical University of Munich.
The program committee and organizing entities often include members from IEEE Technical Committee on Visualization and Graphics, ACM SIGGRAPH Papers Committee, ACM SIGCHI Council, National Science Foundation, European Research Council, Wellcome Trust, NSERC, and German Research Foundation. The symposium format features peer-reviewed paper sessions, poster sessions, panels, tutorials, workshops, and keynote talks from figures associated with Google, Microsoft, Apple, Facebook (Meta Platforms), Amazon, IBM Research, NASA Ames Research Center, and European Organization for Nuclear Research. Organizers coordinate with local hosts at institutions such as University of Illinois Urbana-Champaign, University of Chicago, Cornell University, University of British Columbia, McGill University, Monash University, University of Sydney, and National University of Singapore.
Landmark contributions have built on or influenced work published by researchers from MIT Media Lab, Harvard John A. Paulson School of Engineering and Applied Sciences, Stanford Vision and Learning Lab, Berkeley Artificial Intelligence Research, CMU Human-Computer Interaction Institute, and Toronto Machine Learning Group. Noteworthy topics include graph layout algorithms, dimensionality reduction advances tied to t-SNE authors, progressive refinement and streaming techniques employed by teams at Streaming Systems Research Group, and perceptual design principles with lineage to Gestalt psychology scholars and cognitive science groups at Max Planck Institute for Human Cognitive and Brain Sciences and Sloan School of Management. Influential methodological contributions connect to publications in IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Journal of Machine Learning Research, Nature Methods, and Proceedings of the National Academy of Sciences.
The symposium confers recognitions comparable to honors awarded by ACM SIGCHI, IEEE VGTC, SIGGRAPH Awards Committee, and national academies such as National Academy of Engineering and Royal Society. Awards and honors often parallel accolades like the ACM SIGCHI Lifetime Research Award, IEEE Fellow appointments, ACM Fellow distinctions, and prizes celebrated at forums including NeurIPS and ICML. Outstanding papers from the symposium frequently receive citations tracked in indexes like Google Scholar, Scopus, Web of Science, and are highlighted in collections by publishers such as Springer, Elsevier, Wiley, and Taylor & Francis.
Committee membership commonly includes researchers and practitioners from Tamara Munzner-affiliated groups, Jeffrey Heer's collaborators, and scholars linked to Ben Shneiderman's networks, as well as representatives from Microsoft Research Redmond, Facebook AI Research, Google DeepMind, IBM Watson, Oracle Labs, SAP Research, Cisco Systems Research, Siemens AG Research, Hitachi, Ltd., and Panasonic Research. Invited speakers have included leaders from Stanford University, MIT, Carnegie Mellon University, University of Washington, Oxford University Computing Laboratory, and ETH Zurich.
Proceedings are published under the auspices of the IEEE Computer Society in venues related to IEEE Xplore and indexed in bibliographic databases associated with ACM Digital Library cross-references. Archives and supplemental materials are curated similarly to publications from SIGGRAPH, CHI Conference Proceedings, Eurographics Proceedings, LNCS (Lecture Notes in Computer Science), and repositories like arXiv and institutional repositories at MIT Libraries and Stanford Digital Repository.