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