- Lev Manovich, “Database as a Genre of New Media,” AI & Society 14, no. 2 (June 1, 2000), http://time.arts.ucla.edu/AI_Society/manovich.html
- Shawn Graham, Ian Milligan, and Scott Weingart, “Principles of Information Visualization,” in The Historian’s Macroscope – Working Title (Under contract with Imperial College Press, 2013), http://www.themacroscope.org/?page_id=469.
- Diane M. Zorich, “The ‘Art’ of Digital Art History” (presented at The Digital World of Art History, Princeton University, June 26, 2013), http://ica.princeton.edu/digitalbooks/digitalworldofarthistory2013/7.D.Zorich.pdf.
Morning (9am to 12pm)
- Introduction, with Lisa Rhody: What makes a good visualization? What are visualizations useful for as art historians? What stories do art historians want to tell that could benefit from visualizations.
- Hands-on Session 1: Word frequency visualizations using texts, file uploads, and URLs with Bubblelines, Wordle, Cirrus, Tag Crowd (tagcrowd.com)
- Demo Session 1: Visualizing Visual Data with ImagePlot.
- Demo Session 2: Visualizing Auction Data with Excel.
- Hands-on Session 1: Using auction data, students will plot change in value over time.
- 12:00 Break for lunch
- Demo Session 3: Visualizing Collection Data: ViewShare
- Demo Session 4: Visualizing Data: Palladio (dataset)
- Beyond the Institute: Other tools for visualizing data: Google Fusion, Tableau Public, etc.
Browse through some beautiful visualized collection data, Colour Lens, built by Richard Barrett-Small, Lead Developer and Web Architect for Tate Online (and he shared his code.)