Co-located conference events

A number of co-located events will be held in conjunction with Eurovis 2020.

Visual Forum

EGPGV 2020

Eurographics Symposium on Parallel Graphics and Visualization

The Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) aims to foster the exchange of experiences and knowledge on exploiting and defining new trends in parallel graphics and visualization. This area is of growing importance due to the rapidly increasing availability of multi-core CPUs, GPUs, and cluster systems. Computationally demanding and data-intensive applications in graphics and visualization are strongly affected by this trend and require novel, efficient parallel solutions.

https://www.egpgv.org/egpgv20/

EGPGV Organizers
Steffen Frey University of Stuttgart, Germany
Jian Huang University of Tennessee, United States
Filip Sadlo Heidelberg University, Germany
Mohammad Raji University of Tennessee, United States

MLVis 2020

International Workshop on Machine Learning in Visualisation for Big Data

The Workshop on Machine Learning in Visualisation for Big Data targeted toward machine learning methods in visualisation from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users.
The fifth edition of this co-located event will be part-tutorial and part-workshop so as to increase the interaction between researchers.

https://www.tuni.fi/mlvis2020/

MLVis Organizers
Daniel Archambault Swansea University, United Kingdom
Ian Nabney University of Bristol, United Kingdom
Jaakko Peltonen Tampere University, Finland

MolVA

Workshop on Molecular Graphics and Visual Analysis of Molecular Data

Molecular visualization and graphics is one of the oldest branches of scientific visualization, which has been developing for over 50 years. Due to the continuous advances in both computational biology and computer graphics techniques, molecular graphics and visualization are very active areas of research. Not only the ever-increasing dataset sizes yield a constant challenge for visual analysis, but also new technologies like advances in web-based graphics or augmented and virtual reality open new possibilities.

This half-day multidisciplinary workshop – which is held in conjunction with Eurovis for the third time and with Eurographics for the first time – brings together visualization and computer graphics researchers working with molecular data. Whereas molecular graphics is an established topic for many years, the hybrid-dimensional visual analysis of molecular structures is still a quite new research field with a lot of potential. We would like to encourage submissions especially using new technologies, such as immersive analytics or ML-related approaches.

We invite short papers as well as full papers. All papers will undergo a single-stage, double-blind peer review by an international program committee. Accepted papers will be published in the EG digital library.

https://tinyurl.com/molva

MLVis Organizers
Jan Byška Masaryk University, Czech Republic / University of Bergen, Norway
Michael Krone University of Tübingen, Germany
Björn Sommer Royal College of Art, UK

EuroVA

International Eurovis Workshop on Visual Analytics

EuroVA 2020 is the premier workshop to present and discuss fresh ideas on new methods and theories, novel applications, designs, and studies on the use of Visual Analytics methods and systems. The workshop will accept a wide range of contributions within the broad area of Visual Analytics, including novel techniques, systems, applications, evaluation studies and methods, and theoretical foundations, as well as fresh viewpoints on future challenges and critical reflections.

https://www.eurova.org/eurova-2020

EuroVA Organizers
Cagatay Turkay University of Warwick, UK
Katerina Vrotsou Linköping University, Sweden
Michael Behrisch Utrecht University, Netherlands

EnvirVis

Visualization in Environmental Sciences Workshop

TrustVis

International Eurovis Workshop on Trustworthiness in Visualization

WICED

Workshop on Intelligent Cinematography and Editing