Modern large-scale scientific simulations, sensor networks, and experiments are generating enormous datasets, with some projects approaching the multiple exabyte range in the near term. Managing and analyzing large datasets in order to transform it into insight is critical for a variety of disciplines including climate science, nuclear physics, security, materials design, transportation, and urban planning. This is currently referred to as the Big Data Challenge. The tools and approaches needed to mine, analyze, and visualize data at extreme scales can be fully realized only if we have end-to-end solutions, which demands collective, interdisciplinary efforts.

The 6th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium, to be held in conjunction with IEEE VIS 2016, is specifically targeting possible end-to-end solutions. The LDAV symposium will bring together domain scientists, data analysts, visualization researchers, users, designers and artists, to foster common ground for solving both near- and long-term problems.

Scope:

We are looking for original research contributions on a broad-range of topics related to collection, analysis, manipulation or visualization of large-scale data. We also welcome position papers on these topics.
Topics of interest include, but are not limited to:

    Data collection, management and curation
    Innovative approaches combining information visualization, visual analytics, and scientific visualization
    Streaming methods for analysis, collection and visualization
    Novel, extreme or innovative methods for understanding and interacting with data
    Advanced hardware for data handling or visualization
    Distributed, parallel or multi-threaded approaches
    MapReduce-based and database-related methods, algorithms or approaches
    Hierarchical data storage, retrieval or rendering
    Collaboration or co-design of data analysis with domain scientists
    Topics in cognitive issues specific to manipulating and understanding large data
    Application case studies
    Industry solutions for big data
    End-to-end system solutions
    New challenges in visualizing experimental, observational, or simulation data
    In situ visualization techniques

Submission Instructions:

Submitted manuscripts may not exceed 8 pages. The manuscripts can be 4-8 pages, with the authors determining length based on the content. The manuscripts should be formatted according to guidelines from IEEE VGTC.

Submission site note: Go to the submission site, log in, go to 'new submissions', and select 'LDAV 2016 Papers'.
Proceedings:

The proceedings of the symposium will be published together with the VIS proceedings and via the IEEE Xplore Digital Library.

Best Paper:

The LDAV Program Committee will present a Best Paper award to the authors whose submission is deemed the strongest according to the reviewing criteria. This award will be announced in conjunction with VIS 2016.