In the last decade, Big Data Analytics has become a major decision support factor in industry and government organisations. Visual Analytics and Immersive Analytics are 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 and Immersive Analytics to be effectively deployed.

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The international symposium will be the first time out of Australia held at the University of Konstanz on October 17-19, 2018. BDVA’18 will host an exciting programme with internationally renowned keynote speakers, special sessions, and workshops. BDVA’18 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 immersive analytics, visual analytics, and visual data science of Big Data.

Like in previous years, accepted conference papers will be published with IEEE. Selected papers will be published in related journals (tba).

Previous conferences:


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

  • Immersive Analytics
  • Foundations of Immersive Analytics
  • Immersive Storytelling
  • Scalable Visual Analytics
  • Virtual and Augmented Reality for Analytics
  • Visual Analytics of High-dimensional Data
  • Big Data Management, Transformation, and Presentation
  • Machine Learning and Data Mining for Big Data Visual Analytics
  • Analytical Reasoning and Sense-making on Big Data
  • Human-Computer Interaction on Big Data
  • Volunteer Geographic Information
  • High Performance Computing for Visualisation
  • Context-driven User Querying
  • Semantics-driven Visual Analytics


General Chair

  • Falk Schreiber, University of Konstanz, Germany

Program Chairs

  • M. Eduard Gröller, TU Wien, Austria
  • Kim Marriott, Monash University, Australia

Organising Chairs

  • Alexandra Diehl, University of Konstanz, Germany
  • Björn Sommer, University of Konstanz, Germany

Financial Chair

  • Karsten Klein, University of Konstanz, Germany

Publication Chair

  • Ulrich Engelke, CSIRO Data61 Hobart, Australia

Publicity Chair

  • Alfie Abdul-Rahman, King’s College London, UK

Poster and Demonstrations Chair

  • Johanna Schmidt, AIT Austrian Institute of Technology GmbH, Austria

Workshops Chair

  • Mennatallah El-Assady, University of Konstanz, Germany

Steering Committee

  • Tomasz Bednarz, CSIRO Data61 & UNSW, Australia
  • Ulrich Engelke, CSIRO Data61, Australia
  • Julian Heinrich, Bayer Crop Science, Germany
  • Karsten Klein, University of Konstanz, Germany
  • Quang Vinh Nguyen, Western Sydney University, Australia

Program Committee

  • tba