Journal-first (JIST/JPI) Submissions

∙ Journal-first (JIST/JPI) Submissions Due 31 July
∙ Final Journal-first manuscripts due 31 Oct
Conference Papers Submissions
∙ Extended Submission Deadline
∙ FastTrack Proceedings Manuscripts Due 21 Dec 
∙ All Outstanding Manuscripts Due 15 Feb 2024
Registration Opens mid-Oct
Demonstration Applications Due 18 Dec
Early Registration Ends 18 Dec

Hotel Reservation Deadline 3 Jan
Symposium Begins
21 Jan
Non-FastTrack Proceedings Manuscripts Due
15 Feb

Visualization and Data Analysis 2024

Conference keywords: visual and data analytics, visualization, human factors, data mining, virtual and augmented reality (VR/AR), cyber-security.

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Conference Overview

The Conference on Visualization and Data Analysis (VDA) 2024 covers all research, development, and application aspects of data visualization and visual analytics. Since the first VDA conference was held in 1994, the annual event has grown steadily into a major venue for visualization researchers and practitioners from around the world to present their work and share their experiences. We invite you to participate by submitting your original research as a full paper, for an oral or interactive (poster) presentation, and attending VDA 2024.

2024 Conference Topics

The VDA conference solicits papers on all topics of data visualization, including, but not limited to:
  • Biomedical visualization
  • Case studies and empirical studies
  • Cyber-security
  • Data mining
  • Exploratory data visualization and analysis
  • Geographic visualization
  • Graph visualization
  • High-performance computing and visualization
  • Image processing
  • Information visualization
  • Multivariate time series visualization
  • Scientific visualization
  • Sentiment analysis
  • Social media
  • Virtual and augmented reality
  • Human factors
  • Volume and flow visualization

2024 Special Sessions



Kostas Pantazos Memorial Award for Outstanding Paper in Visualization and Data Analysis

Past winners

2023 Nikola Vugdelija¹, Rainer Splechtna², Goran Todorović³, Mirko Sužnjević⁴, and Krešimir Matković²; ¹Gamepires d.o.o. (Croatia), ²VRVis Research Center (Austria), ³AVlL_AST d.o.o. (Croatia), and ⁴University of Zagreb (Croatia) for their work on  "Comparative visualization for noise simulation data."
2022 Sifan Ye, Ting Wu, Michael Jarvis, and Yuhao Zhu (Stanford University, eBay Inc., and University of Rochester) for their work on  "Digital reconstruction of Elmina Castle for mobile virtual reality via point-based detail transfer."
2021 Mark A. Livingston, Laura Matzen, Derek Brock, Andre Harrison, and Jonathan W. Decker (US Naval Research Laboratory, Sandia National Laboratories, and US Army Research Laboratory) for their work on  "Testing the value of salience in statistical graphs."
2020 Casey Haber and Robert Gove (Chartio and Two Six Labs) for their work on  "A visualization tool for analyzing the suitability of software libraries via their code repositories."
2019 Maggie Goulden, Eric Gronda, Yurou Yang, Zihang Zhang, Jun Tao, Chaoli Wang, Xiaojing Duan, G. Alex Ambrose, Kevein Abbott, and Patrick Miller (Trinity College Dublin, University of Maryland, Zhejiang University, and University of Notre Dame) for their work titled "CCVis: Visual analytics of student online learning behaviors using course clickstream data."
2018 Benjamin Karer, Inga Scheler, and Hans Hagen (University of Kaiserslautern) for their work on  "A step towards automatic visual analytics pipeline generation."
2017 Stefan Zellmann, Mauritius Hoevels, and Ulrich Lang (University of Cologne and University Hospital of Cologne) for their work titled "Ray traced volume clipping using multi-hit BVH traversal."
2016 Kaiyu Zhao, Matthew Ward, Elke Rundensteiner, and Huong Higgins (Worcester Polytechnic Institute) for their work on "MaVis: Machine learning aided multi-model framework for time series visual analytics."
2016 Best Paper
Kostas Pantazos and Soren Lauesen (IT University of Copenhagen) for their work on "End-user development in visualizations." Award accepted by Dimitris Pantazos.

2024 Committee

Conference Chairs

Yi-Jen Chiang, New York University (United States)
David L. Kao, NASA Ames Research Center (United States)
Thomas Wischgoll, Wright State University (United States)

Program Committee

Madjid Allili, Bishop's University (Canada)
Wes Bethel, San Francisco State University (US)
Hank Childs, University of Oregon (US)
Ulrich Engelke, CSIRO (Australia)
Matti Groehn, Glue (Finland)
Christopher G. Healey, North Carolina State University (US)
Ming Jiang, Lawrence Livermore National Lab (US)
Andreas Kerren, Linnaeus University (Sweden)
Peter Lindstrom, Lawrence Livermore National Laboratory (US)
Aidong Lu, The University of North Carolina at Charlotte (US)
Shawn Martin, SNL (US)
Joerg Meyer, Apple (US)
Fabio Miranda, University of Illinois at Chicago (US)
Alex Pang, University of California, Santa Cruz (US)
Theresa-Marie Rhyne, Computer Graphics and E-Learning (US)
Rene Rosenbaum, meeCoda (Germany)
Graig Sauer, Towson University (US)
Inga Scheler, Technische Universität Kaiserslautern (Germany)
Tobias Schreck, Universität Konstanz (Germany)
Shigeo Takahashi, The University of Aizu (Japan)
Hsu-Chun Yen, National Taiwan University (Taiwan ROC)
Eugene Zhang, Oregon State University (US)
Wenjin Zhou, Oakland University (US)

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