• $650

    Full registration

  • $520

    Full registration IEEE member

  • $550

    Full registration Early Bird

    Expires 7 October 2017

  • $440

    Full registration IEEE member Early Bird

    Expires 7 October 2017

  • $450

    Student registration

  • $360

    Student registration IEEE member

  • $400

    Student registration Early Bird

    Expires 7 October 2017

  • $320

    Student registration IEEE member Early Bird

    Expires 7 October 2017

  • $150

    Workshops only

Event date: 07Nov 2017

Tuesday 7 - Friday 10 Nov 2017

Lecture theatre H2-02, Rooms P5-15, P5-33 and P5-34, University of South Australia, City East Campus

108 North Terrace, Adelaide SA

More information

In the last decade, Big Data Analytics has become a major decision support factor in industry and government organisations. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human-computer interaction, perception and cognition, is critical for Visual Analytics to be effectively deployed.


The symposium will be held at the University of South Australia (UniSA) on November 7-10, 2017. BDVA'17 will host an exciting programme with internationally renowned keynote speakers, special sessions, and a day of complimentary hands-on workshops. BDVA'17 aims to:

  • provide early career scientists with an inspiring event allowing them to connect to relevant experts in the field.
  • provide an exciting venue for researchers to network and establish national and international collaborations; and
  • bring together leading experts from all relevant scientific domains to advance the understanding of visual analytics of complex, big, and dynamic data.


The symposium will accept a range of manuscript types, including methods, systems, applications, evaluation techniques and theoretical work in the area of Visual Analytics. The scientific scope of the symposium includes, but is not limited to:

  • Visual Analytics of High-dimensional and Spatio-temporal Data
  • Scientific and Information Visualisation
  • Machine Learning and Data Mining for Big Data Visual Analytics
  • Visual Representation and Interaction
  • Perception and Cognition of Visual Information
  • Analytical Reasoning and Sense-making on Big Data
  • Context-driven User Querying
  • Semantics-driven Visual Analytics
  • Evaluation Methods for Visual Analytics
  • Visual Analytics Algorithms and Foundations
  • High Performance Graphics for Visualisation
  • Advanced Technologies and Applications for Visual Analytics
  • Virtual and Augmented Reality for Visual Analytics
  • Art and Science for Visual Analytics
  • Big Data Management, Transformation, and Presentation
  • Visual Analytics Processes and Workflows
  • Simulation for Visual Analytics

Science areas: Information technology

Event type: Conference or seminar