Design research. Social good.

DHSI 2017


 Digital Humanities Summer Institute |  June 5-9, 2017 | University of Victoria | MacLaurin D107

Course Schedule  

Course Info

Course Description

DATA VISUALIZATION – the representation of information through images – is a powerful and innovative tool for extending traditional methods of research toward new audiences and ends. In this workshop, we will explore ways to creatively visualize data for research, rendering information more useful, engaging and accessible. From boutique data to big data, we will examine both qualitative and quantitative datasets to create a variety of visualizations, including illustrations, mindmaps, infographics, sparklines, data matrices, and interactive graphic displays. Over the course of the week, participants will work with open source platforms and tools for translating data into visual and interactive forms, while discussing principles of narrative, audience, and design. We will also become familiar with data visualization experts working within this creative medium, such as Hans Rosling, Kim Crawford, Edward Tufte, Ben Fry, Jer Thorp, and Kim Rees.

Working in skills-based teams, participants will then brainstorm and prototype an interactive narrative experience that tells a story with/around/about data, whether a web-based visualization, a physical object or installation, or an interactive documentary experience. This workshop invites participants from diverse fields and backgrounds–including data scientists, writers, teachers, designers, artists, and coders—with a shared interest in creative problem-solving and collaboration. No specialized experience is expected or required. Participants are welcome to bring their own project ideas and datasets to use when developing visualizations during the workshop.

Bring a laptop, a notebook, pens or colored pencils and any research you would like to see in a new light. No prior experience or artistic talent necessary — just a willingness to experiment with different materials from pipe cleaners to code.

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