Suggested topics for papers include, but are not limited to:

    Visualization, rendering, and manipulation of spatial data. Scalar, vector and tensor fields, flow fields, regular and unstructured grids, point-based data, temporal data, volumetric data, topology-based and geometry-based techniques, PDEs, time-varying data, multidimensional multi-field, multi-modal, and multivariate data, streaming data, multi-resolution, compression.
    Interaction techniques and devices. User interfaces, interaction design, coordinated and multiple views, data editing for validation, manipulation and deformation, multimodal input devices, haptics for visualization, mobile and ubiquitous visualization, visual interaction for data science, interaction with visualizations in different display environments.
    Data science. Large-scale computing, storage and data analytics, distributed, cluster, and grid computing, scalable data management on and off the cloud, high-performance computing on multi-core, GPUs, FPGA, and embedded devices, information extraction and knowledge discovery from big data, petascale visualization, application of computer vision techniques, statistical modeling, data mining, machine learning, clustering techniques, reduced-order modeling, visual steering for data retrieval.
    Display technologies. Large and high-res displays, giga-pixel displays, wrist-displays, stereo displays, immersive and virtual environments, mixed and augmented visualization, projector-camera systems, perception and cognition coupled displays.
    Foundations. 
Collaborative and distributed visualization, visual design and design studies, mathematical theories for visualization, scalability issues, uncertainty visualization, visualization verification, view-dependent visualization, information theoretic approaches, perception theory, color, texture, scene and motion perception, knowledge-assisted visualization.
    Evaluation. 
Usability studies and task analysis, design and user studies, validation and verification visualization, statistical techniques, crowd-sourcing, human computation.
    Visual computing systems and methodologies . System and toolkit design, glyph-based techniques, illustrative visualization, integrating spatial and non-spatial data visualization, applications of visual analytics approaches, computational steering.
    Visual computing applications. 
Mathematics, physical sciences and engineering, earth, space, and environmental sciences, flow fields, terrain visualization, geographic/geospatial visualization, molecular, biomedical and medical visualization, bioinformatics visualization, software visualization, business and finance visualization, social and information sciences, education, humanities, for the masses, multimedia (image/video/music).
    Visual computing for emerging applications. 
Nano-assembly, live cell imaging, imaging genetics, micro-biology, robotics, sensor networks, cybersecurity, urban science, computational architecture and others.