simplification or explanation of techniques and algorithms to make them easier to understand and reproduce

practices and evaluative reflection on expressiveness of visualization

mapping of data from a domain/problem to abstract data and dataset types, includ-ing identification or clarification of new dataset types, data types, or facets of data not previously articulated in the literature

improvements or new uses of existing ones to support visualization

publicly available dataset for use in understanding visualizations, e.g., their con-struction, consumption, design, or interpretation

discussion of insights gained from real world deployment of a tool or technique

methodologies that help people take a structured and formalized approach to visual-ization design or that help people be more creative in devising possible visualization approaches

methodologies that enable new ways in evaluating visualization solutions

generalized theoretical, algorithmic, or mathematical formalisms of visualization concepts

generalized advice for the design and use of visualizations and visualization tech-niques, including theoretical and practical evidence to challenge an existing (design) guideline

novel interaction techniques or components, or combinations of existing interaction techniques in new ways to support visualization

discussion of unsuccessful ideas and negative results, including identification of pitfalls to be avoided

foundational understanding of perception and cognition to explain how visualiza-tion works

thorough discussion of previously unaddressed or undiscussed visualization prob-lems, including descriptions of domains and their research challenges that have not previously appeared in the visualization literature

analysis of running visualizations and visualization algorithms efficiently on real devices

methodology or discussion of insights for storytelling and expository applications such as data journalism and education

well-argued and well-supported visions of the future of visualization

reproduction of previously-published research and comparison of results

summary and enumeration of the state of the art, with synthesis and reflection

mapping of tasks performed by domain users to abstract tasks, either newly identi-fied or from existing taxonomies

systematic characterizations of a particular space that scaffold thinking within that topic

design and implementation of a novel platform for developing visualizations

novel combinations of established visualization, interaction, and computational data modeling techniques to perform visual data analysis

well-argued and well-supported visions of the future of visualization

encoding of a dataset type different from previous representations of that dataset type