Suggested topics include, but are not limited to:

Visualization application areas:

• statistical graphics and mathematics

• financial, security and business visualization

• physical sciences and engineering

• earth, space, and environmental sciences

• geographic/geospatial/ terrain visualization

• molecular, biomedical, bioinformatics and medical visualization

• text, documents and software visualization

• social, ambient and information sciences

• education and everyday visualization

• multimedia (image/video/music) visualization

• any other non-spatial data or spatial data that is visualized with a new spatial mapping

Data focused visualization research:

• high-dimensional data and dimensionality reduction and data compression

• multidimensional multi-field, multi-modal, multi-resolution and multi-variate data

• causality and uncertainty data

• time series, time varying, streaming and flow data

• scalar, vector and tensor fields

• regular and unstructured grids

• point-based data

• large scale data (petabytes, ...)

Technique focused visualization research:

• volume modeling and rendering

• extraction of surfaces

• topology-based and geometry-based techniques

• glyph-based techniques

• integrating spatial and non-spatial data visualization

• machine-learning approaches

Graph and network visualization research:

• design and experimentation of graph drawing algorithms

• techniques, interfaces and interaction methods for graphs, trees, and other relational data

• visualization of graphs and networks in application areas (e.g., social sciences, biology, geography, software engineering, circuit design, business intelligence)

• interfaces and interaction techniques for graph and network visualizations

• benchmarks and experimental analysis for graph visualization systems and user interfaces

Interaction focused visualization research:

• icon- and glyph-based visualization

• focus + context techniques

• animation

• zooming and navigation

• linking + brushing

• coordinated multiple views

• view-dependent visualization

• data labeling, editing and annotation

• collaborative, co-located and distributed visualization

• manipulation and deformation

• visual data mining and visual knowledge discovery

Empirical and comprehension focused visualization research:

• visual design and aesthetics

• illustrative visualization

• cognition and perception issues

• cognitive studies on graph drawing readability and user interaction

• presentation, dissemination and storytelling

• design studies, case studies and focus groups

• task and requirements analysis

• metrics and benchmarks

• evaluations of all types: qualitative, quantitative, laboratory, field, and usability studies

• validation and verification

• perception theory including such factors as color texture, scene, motion perception, perceptual cognition

System focused visualization research:

• novel algorithms and mathematics

• mobile and ubiquitous

• taxonomies and models

• methodologies, discussions and frameworks

• visual design, visualization system and toolkit design

• data warehousing, database visualization and data mining

• collaborative and distributed visualization

• mathematical theories for visualization

Hardware, Display and Interaction Technology:

• large and high-res displays

• stereo displays

• mobile and ubiquitous environments

• immersive and virtual environments

• multimodal input (touch, haptics, voice, etc.)

• hardware acceleration

• GPUs and multi-core architectures

• CPU and GPU clusters

• distributed systems, grid and cloud environments

• volume graphics hardware