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 along several topics related to Information and Data Visualization. We welcome papers describing original work in any of the topics listed below. Papers describing advanced prototypes, systems, tools and techniques as well as general survey papers indicating future directions also encouraged. We also welcome theoretical and/or empirical contributions. Paper acceptance will be based on quality, relevance to the conference theme and originality. The conference program will include both oral and poster presentations. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged.

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. GENERAL VISUALIZATION TECHNIQUES
3. SCIENTIFIC VISUALIZATION

AREA 1: INFORMATION VISUALIZATION

    Visual Data Analysis and Knowledge Discovery
    Big Data Visualisation
    Display and Interaction Technology
    Databases and Visualization, Visual Data Mining
    Graph Visualization
    Interface and Interaction Techniques for Visualization
    Internet, Web and Security Visualization
    Software Visualization
    Information Visualization
    High-Dimensional Data and Dimensionality Reduction
    Text and Document Visualization
    Visual Representation and Interaction
    Data Management and Knowledge Representation
    Explainable Machine Learning by Visualization
    Multi-dimensional Data Visualization

AREA 2: GENERAL VISUALIZATION TECHNIQUES

    Interactive Visual Interfaces for Visualization
    Perception and Cognition in Visualization
    Visualization Applications
    Visualization Algorithms and Technologies
    Visualization Tools and Systems for Simulation and Modeling
    Multivariate Data Visualisation
    Empirical Studies of Information Visualisations
    Immersive Analytics
    Dynamic or Temporal Data Visualisation
    Usability Studies and Visualization
    Glyph-Based Visualization
    Human-Centered Aspects of Visualization
    Coordinated and Multiple Views
    Interpretation and Evaluation Methods
    Large Data Visualization
    Integration of Data Analysis, Interaction, and Visualization
    Data Driven Storytelling
    Visual Analytics
    Explainable Artificial Intelligence
    Algorithm Transparency
    Multi-sensory Data Presentation

AREA 3: SCIENTIFIC VISUALIZATION

    Biomedical Visualization and Applications
    Virtual Environments and Data Visualization
    Volume Visualization
    Scientific Visualization
    Flow Visualization
    GPU-based Visualization
    Geographic Information Visualisation
    Small-screen visualisation
    Uncertainty Visualization