Collaborations between 
VIS / Bioinformatics / Bio Communities

Description

In the first part of my talk, I summarize what advice researchers and practitioners can get from a theory of visualization. We – as a community – currently provide advice by publishing models and theories, by collecting techniques and methods, and by describing best practices. While this is very useful, it is often not actionable. A less explored possibility is to provide cheat sheets in the form of decision trees that can help practitioners to create effective visualizations. These decision trees could be created as a community effort, underpinned with our models, and carefully annotated. In the second part, I talk about why generalizing design studies is hard, why data and task abstraction is key to create impact in visualization through collaboration with domain experts, and what lessons I’ve learned from previous collaborations.

Period	17 Apr 2018
Event title	Dagstuhl Seminar Visualization of Biological Data - Crossroads
Event type	Other
Location	GermanyShow on map