Workshops : Evaluation and beyond – Data visualization
Workshop on evaluation and beyond – methodological approaches for Visualization 2020 – Sunday Oct. 25, 2020
Our discussions span from novel and not-yet fully established evaluation methods for visualization tools and techniques, to methods that more generally establish the validity and scope of acquired visualisation knowledge. BELIV supports contributions and discussions from the rich spectrum of visualisation researchers, embracing the varied ways that researchers self-identify with respect to the main conference tracks at VIS. Complementary to the broad scope of BELIV and its general commitment to research methods, BELIV 2020 will include a timely focus topic: From a Distance: Research practices during the COVID-19 pandemic and beyond. See the Call for Papers for more details.
- Anastasia Bezerianos, Université Paris-Saclay
- Kyle Hall, Temple University
- Samuel Huron, Télécom Paris
- Matthew Kay, University of Michigan
- Miriah Meyer, University of Utah
- Michael Sedlmair, University of Stuttgart
Workshop on Data Visualization Activities to Facilitate Learning, Reflecting – Monday Oct. 26, 2020
For example, sketching aids designers to consider alternative ideas; manipulating tokens help students conceptualize quantities for data visualization; user interviews and discussions help developers understand requirements. Workshops, classes, or collaborations with domain experts, often include hands-on data visualization activities that involve analog or digital tools and materials and more or less well defined protocols. Recent years have seen the emergence of such data visualization activities in different contexts, including education, visualization design, activism, self-reflection, and interdisciplinary collaboration. However, the broad range of contexts and target audiences that Data-Vis activities have been applied to makes it difficult to collect and identify commonalities and build knowledge in a systematic way. Thus, the goals of this workshop are i) start building an understanding and to synthesize protocols and materials used to lead data vis activities, ii) to bring together researchers, practitioners, and educators from within and outside of the visualization community, iii) brainstorm, design, experience, and try novel activities, and to iv) discuss issues around goals, methods, audiences, materials, and evaluation for teaching data visualization.
- Samuel Huron, Télécom Paris
- Benjamin Bach, University of Edinburgh
- Uta Hinrichs, University of St Andrews
- Jonathan C. Roberts, Bangor University
- Mandy Keck, Technische Universität Dresden