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3rd Workshop on Visualization for the Digital Humanities

Eric Alexander, Carleton College
Adam James Bradley, University of Ontario Institute of Technology
Min Chen, University of Oxford
Mennatallah El-Assady, University of Konstanz / University of Ontario Institute of Technology
Uta Hinrichs, The University of St Andrews
Stefan Jänicke, Leipzig University
David Joseph Wrisley, New York University


Toward a Design Language for Data Physicalization

Trevor Hogan, Cork Institute of Technology
Uta Hinrichs, University of St Andrews
Jason Alexander, Lancaster University
Samuel Huron, Mines-Telecom ParisTech
Sheelagh Carpendale, University of Calgary
Eva Hornecker, Bauhaus-Universität Weimar


The use of physical representations to facilitate communication, analysis, teaching, and research is as old as humanity. However, it is only in the past decade that data physicalization is being discussed as a dedicated form of research and design practice primarily concerned with the design of physical artefacts. For visualization, as the dominant form of data representation, established principles and taxonomies exist to guide designers. However, an equivalent design vocabulary has yet to be established for data physicalization. The aim of this workshop is to draw together practitioners and researchers to discuss different approaches toward a design language for data physicalization. Through a series of invited talks alternating with hands-on discussions of existing physicalization examples, the workshop will start to consolidate different efforts of characterizing and evaluating the core properties or “variables” that drive data physicalization, and to define a research agenda in this area.

CityVis – Urban Data Visualization

Sebastian Meier, Technologiestiftung
Nina Hälker, HafenCity University
Sarah Goodwin, RMIT University / Monash University


Visualization as a tool for analysis, exploration and communication has become a driving force in the task of unravelling the complex urban fabrics that form our cities. Yet, there is a crucial need to bridge the gap between the flood of urban data and the capacity of decision makers to integrate that data into effective and informed decisions. The CityVis workshop wants to critically assess this notion and ask how data and visualization can be used to serve and better understand or organize urban processes, focusing on an explicitly “human-centric” perspective (i.e. decision support systems, co-creation or evaluation methods).

VisGuides: 2nd Workshop on the Creation, Curation, Critique and Conditioning of Principles and Guidelines in Visualization

Alexandra Diehl, University of Konstanz
Benjamin Bach, University of Edinburgh
Alfie Abdul-Rahman, King’s College London

Contact: diehl@dbvis.inf

The ever-increasing global awareness, practice, and teaching of information and data visualization include a growing audience of consumers and creators. We, as a scientific community must put careful emphasis on the collection and curation of knowledge in the area. The goal of this workshop is to discuss and consolidate guidelines, best practices, controversies, and success stories in the field of information visualization.

VISREG - Visual Summarization and Report Generation: Beyond Scatter-Plots and Bar-Charts

Johanna Schmidt, Austrian Institute of Technology
Gabriel Mistelbauer, Otto-von-Guericke University


Visual summarization of data can be employed to assess the most important aspects of the data, and to get a concise overview of the available attributes. Visual summaries need to be able to combine a lot of different aspects of the data into one concise overview. They may also be employed as a separate visualization technique to communicate findings to external people. Finally, summaries will in many cases be used in static reports. In the latter case, visualization designers have to face new interesting challenges, for example, to deal with limited space, and the fact that interaction is not possible in reports. There is also a need for data summarization in many different domains. For example, medical practitioners in many cases have to read through long textual reports in order to get an overview of a patient’s anamnesis. With this proposed workshop we will gather visualization experts working on, or being interested in, the topic of visual summarization and report generation. We encourage paper submissions presenting solutions for new summarization techniques, and visualization techniques for report generation. We are also interested in approaches that are already used in practice, or in descriptions of work in progress. This workshop will take place in a very interactive manner, including paper sessions as well as discussion rounds among the participants. All together, we will identify interesting research question for the visualization community, and establish a research agenda on the topic of visual summarization and report generation.

DSIA: Data Systems for Interactive Analysis

Dominik Moritz, University of Washington
Joseph Cottam, Pacific Northwest National Laboratory
Leilani Battle, University of Washington / University of Maryland
Marianne Procopio, Tufts University


DSIA brings together researchers at the intersection of databases, machine learning, and interactive visualization. These three areas have important things to say to each other. Modern data visualization depends on the cutting edge of both database and machine learning research: database researchers are exploring techniques for storing and querying massive amounts of data; machine learning techniques provide ways to discover unexpected patterns and to automate and scale well-defined analysis procedures. This workshop explores the idea that the next generation of database, machine learning, and interactive visualization systems should not be designed in isolation. For example, machine learning techniques might recommend improved data transformation and visual encoding decisions. Or, database query optimizers might take advantage of perceptual constraints, while prefetching methods reduce latency by modeling likely interactions. This workshop seeks to increase cross-pollination between these fields.

Workshop on Visualization for Communication (VisComm)

Robert Kosara, Tableau Research
Benjamin Watson, North Carolina State University


Machine Learning from User Interaction for Visualization and Analytics

John Wenskovitch, Virginia Tech
Michelle Dowling, Virginia Tech
Chris North, Virginia Tech
Remco Chang, Tufts University
Alex Endert, Georgia Tech
David Rogers, Los Alamos National Lab


The goal of this workshop is to bring together researchers from across the VIS community to share their knowledge and build collaborations at the intersection of the Machine Learning and Visualization fields, with a focus on learning from user interaction. Our intention in this workshop is to pull expertise from across all fields of VIS in order to generate open discussion about how we currently learn from user interaction and where we can go with future research in this area. Further, we hope to collaboratively create a research agenda that explores the future of machine learning with user interaction based on the discussion during the workshop.

Visual Storytelling for the Exploration and Explanation of Machine Learning Models

Mennatallah El-Assady, University of Konstanz / University of Ontario Institute of Technology
Duen Horng Chau, Georgia Tech
Adam Perer, IBM Research / Carnegie Mellon University
Hendrik Strobelt, IBM Research / MIT-IBM Watson AI Lab
Fernanda Viegas, Google Brain