EuroVA 2019


EuroVA 2019 is the tenth international EuroVis Workshop on Visual Analytics.

It will take place on Monday, June 3, 2019 in Porto, Portugal and is co-located with EuroVis 2019 (

Visual Analytics is a problem-solving and sense-making technology that integrates analytical computations, visual representations, and interaction. It includes the analysis of complex (massive, dynamic, uncertain, …) data and information for gaining understanding, building knowledge, and inferring insight. Visual Analytics aims at a synergistic collaboration of humans and computers mediated through interactive visual interfaces. As such, Visual Analytics is an interdisciplinary field of research, including aspects of visualization, human-computer interaction, statistics and mathematics, data management and knowledge representation, data analysis and machine learning, cognitive and perceptual sciences, and more.

EuroVA 2019 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.

Proceedings will be published in EG Digital Library. As a new development this year, selected papers will be invited to submit an extended paper to a special issue of ACM TiiS.

Call for Submissions

EuroVA, a premiere workshop on Visual Analytics, is celebrating its 10th anniversary!

The workshop seeks to attract innovative, fresh and creative ideas with a high potential of becoming significant contributions to the Visual Analytics community.

We welcome a wide range of contributions within the broad area of Visual Analytics, including research papers presenting novel techniques or systems, evaluation studies and methods, and theoretical foundations, application papers, that describe success stories of Visual Analytics in practice, as well as fresh position papers expressing novel and potentially controversial viewpoints on Visual Analytics.


The workshop covers a broad range of topics in the area of Visual Analytics including, but not limited to:

  • User aspects in Visual Analytics
  • Scalable Visual Analytics
  • Visual Analytics for machine learning & machine learning for Visual Analytics
  • Decision making through Visual Analytics
  • Visual Analytics of streaming data
  • Uncertainty-aware Visual Analytics
  • Visual Analytics in Data Science
  • Interaction techniques and novel data representations for data analysis
  • Visual analysis of analytical processes and provenance
  • Infrastructures, systems, frameworks, and architectures for Visual Analytics
  • Data management, data provenance, and data uncertainty
  • Evaluation of Visual Analytics
  • Methodologic and theoretical foundations of Visual Analytics
  • Visual Analytics applications, such as sports, medicine, biology, finance, security, telecommunication, travel, …

Of special interest this year are also papers relating to interpretability and explainability issues in the use of algorithms within decision-making processes and a number of specific topics in this area could be, but not limited to:

  • Role of interactive visualization in interpretable and explainable Machine Learning
  • Consideration of human factors in making decisions with Machine Learning algorithms
  • Facilitating Algorithmic Transparency and Accountability through Visual Analytics
  • Novel forms of representation and interaction for supporting non-experts in interpreting complex algorithmic results
  • Visual analytics for interactive, informed model building
  • Uncertainty-aware visual analytics for the consideration of inherent uncertainty in data and algorithms


We are honored to announce that the EuroVA 2019 keynote will be given by Professor Samuel Kaski of Aalto University, Finland. His keynote is entitled “Probabilistic Modelling With the Experts” and will guide us among other topics through the challenges making multi-data-source predictions with human-in-the-loop approaches.

Please find Prof. Kaski’s biography and the abstract for his Keynote here.

Important Dates

  • Submission: March 7, 2019
  • Notification: April 10, 2019
  • Camera-ready: April 24, 2019
  • Workshop: June 3, 2019

All submission deadlines are at 23:59 GMT on the date indicated.

Submission Guidelines

Papers, 4 pages in length + 1 extra page for references (maximum) must be prepared using the EuroVA LaTeX template, which can be downloaded here: download link

Papers are to be submitted via the new PCS at The submissions should be double-blind.

Publication and Special Issue Papers

At least one author of an accepted paper must register and participate in the workshop to present the accepted work. The EuroVA 2019 Workshop

Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library.

The authors of selected papers will be invited to submit an extended version of their paper to a special issue of ACM Transactions on Interactive Intelligent Systems (TiiS) ( with the title “Interactive Visual Analytics for Making Explainable and Accountable Decisions”.


Program chairs

  • Tatiana von Landesberger, Technische Universität Darmstadt
  • Cagatay Turkay, City, University of London

Publicity chair

  • Michael Behrisch, Harvard University, Cambridge

Steering Committee

  • Daniel Keim, University of Konstanz Germany
  • Jörn Kohlhammer, Fraunhofer IGD, Germany

International Program Committee

NataliaAndrienkoFraunhofer IAIS
EliBrownTufts University
MinChenUniversity of Oxford
JaegulChooKorea University
GeorgFuchsFraunhofer IAIS
DavidGotzUNC-Chapel Hill
TheresiaGschwandtnerTU Vienna
HelwigHauserUniversity of Bergen
FlorianHeimerlUniversity of Wisconsin – Madison
AndreasKerrenLinnaeus University
SteffenKochUniversity of Stuttgart
JörnKohlhammerFraunhofer IGD, Darmstadt
KrugerRobertHarvard University
MartinLuboschikUniversity of Rostock
MarcusMagnorTU Braunschweig
ThorstenMayFraunhofer IGD, Darmstadt
SilviaMikschVienna University of Technology
PaulParsonsPurdue University
MargitPohlVienna University of Technology
BernhardPreimUniversity of Magdeburg
RoyRuddleUniversity of Leeds
TobiasSchreckGraz University of Technology
Hans-JörgSchulzAarhus University, Denmark
AidanSlingsbyCity, University of London
JohnStaskoGeorgia Tech
MarcStreitJKU Linz
AlexandruTeleaUniversity of Groningen
ChristianTominskiUniversity Rostock
XiaoruYuanPeking University