Data Visualizatiion: Using Vision to Think about the HumanitiesPresentation Transcript
Using Vision to Think about the HumanitiesDATA VISUALIZATIONS
“The next big idea in language, history and the arts?” DATA -New York Times, November 16, 2010. Who has rich data and image sets? CULTURAL INSTITUTIONS!
Visualization “makes the job of our visual system easier, but it’s not going toexplain a pattern. It confronts you with something you wouldn’t notice otherwise,confronts you with new cultural facts. You see things that, probably, nobody hasnoticed before, new cultural patterns that you now have to explain.” Lev Manovich . Graphing Culture. Humanities. Spring 2011
“by extracting and graphing this data it will help us understandpatterns and explore trends in a painter’s life and work.” - Lev Manovich
Ben Shneiderman focuses on designing technologies that allow the "visualization of things not visible.” In the early 90’s Scheiderman developed The treemap,an area-based visualization where the size of each rectangle represents a metric .
Visualizations also can help Cultural Institutions/Organizationsgather information about themselves. Here we look at biennalelaunches in various countries, and can determine the “oldcultural countries” from the “young cultural countries.
In a 2009 essay Manovich evoked the term “cultural analytics” “a new paradigm for the study, teaching, and public presentation of cultural artifacts, dynamics, and flows.” the general idea of cultural analytics is to apply data visualization and analysis techniques traditionally associated with the so-called hard sciences—graphing, mapping, diagramming, and so on—to the study of visual culture.“Direct visualizations methods will be particularly important for humanities, mediastudies and cultural institutions which now are beginning to discover the use ofvisualization, but which eventually may adopt it as a basic tool for research,teaching and exhibition of cultural artifacts.” “Humanists always focused on analyzing and interpreting details of the culturalobjects. This is one of the key differences between humanities and sciences – atleast, as they were practiced until now. The former are interested in particularartifacts (which can be taken to exemplify larger trends); the latter are interested ingeneral laws and models.” - Lev Manovich. Date. What is Visualization?
The conference explored new ways to design data and metadata structures sothat their visual embodiments function as “humanities tools in digitalenvironments.”“The goal was to get beyond the notion that information exists independently ofvisual presentation, and to rethink visualization as an integrated analyticalmethod in humanities scholarship.” -Johanna Drucker
Telling the Story with Data
“Information visualization has the potential to transform both museum practice and research in to museum collections.”“In the museum field, talented individuals have begun to experiment withvisualization tools to represent collections, visitors, and a range of othermuseum activities, using a variety of visualization styles and methods andasking a range of questions about collecting practice, allocation of museumresources, and visitor responses to onsite and online programs. techniques borrowed from the digital humanities community have begun to appear in primary research about collection objects. Because of its highly complex (and often visual nature), museum data can represent both new challenges and possibilities for infoviz specialists and for the museum professionals and scholars who are their audiences.” - Information Visualization and Museum Practice: MCN 2010
The Modernist Journals Project:a joint project of Brown University and The University of Tulsa MJP Lab: Visualizing an Entire Journal: Others
Recommended Visualization ResourcesGraphics Hubs DIRT: The Digital Research Tools Wiki Information Visualization at the Open Directory Project "List of information graphics software" on wikipedia Visualization and Datamining SoftwareIndividual SitesChronos Timeline at the Digital Humanities Hyperstudio at MIT Google Chart ToolsGraphviz: Graph Visualization Software Many Eyes at IBMProtovis: A Graphical Toolkit for Visualization SEASR: The Software Environment for the Advancement of ScholarlyResearch SIMILE Widgets: Free, Open-Source Data Visualization Web Widgets, andMore Voyeur VUE: Visual Understanding Environment at Tufts - Courtesy of MJP Lab