SCOPE

The International Conference on Information Visualization Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners in Information Visualization. The conference will be structured around several Information and Data Visualization topics (listed below), and we welcome papers describing original work in any of these topics. We also encourage papers describing advanced prototypes, systems, tools and techniques, general survey papers indicating future directions, and theoretical or empirical contributions. Paper acceptance will be based on quality, relevance to the conference theme and originality. The conference program will focus on oral and poster presentations, although proposals for sessions dedicated to case-studies and commercial presentations, as well as technical tutorials, are also encouraged.

CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. INFORMATION VISUALIZATION
2. SCIENTIFIC VISUALIZATION
3. VISUALIZATION TECHNIQUES

AREA 1: INFORMATION VISUALIZATION

    Algorithm Transparency
    Data Driven Storytelling
    Dynamic or Temporal Data Visualisation
    Multi-sensory Data Presentation
    Small-screen visualisation
    Databases and Visualization, Visual Data Mining
    Explainable AI and Visualization
    Graph Visualization
    Internet, Web and Security Visualization
    Multi-dimensional or Multivariate data visualisation
    Software Visualization
    Text and Document Visualization

AREA 2: SCIENTIFIC VISUALIZATION

    Biomedical Visualization and Applications
    Flow Visualization
    Geographic Information Visualisation
    GPU-based Visualization
    Uncertainty Visualization
    Virtual Environments and Data Visualization
    Volume Visualization
    Visualization Tools and Systems for Simulation and Modeling

AREA 3: VISUALIZATION TECHNIQUES

    Coordinated and Multiple Views
    Glyph-Based Visualization
    Human-Centered Aspects of Visualization
    Immersive Analytics
    Perception and Cognition in Visualization
    Usability and Empirical Studies of Visualizations
    Visual Analytics
    Visualization Algorithms and Technologies
    Visualization Applications
    Big Data Visualisation
    Data Management and Knowledge Representation
    High-Dimensional Data and Dimensionality Reduction
    Visual Data Analysis and Knowledge Discovery
    Visual Representation and Interaction