The first of the digital annexes that I’m working on is the canonical Cent mille milliards de poèmes (A Hundred Thousand Billion Poems) by Oulipo co-founder, Raymond Queneau. The text is inspired by combinatorics in its basic functioning, but it was almost immediately digitized by Oulipo as well, using some of the first computers.
The digital humanities landscape has changed substantially in the past year. Google Earth, the most user-friendly and widely available GIS-style platform, will cease operation at the end of 2015. Some of its services will be rolled into Google Maps. But the future for Google Earth’s technical drawing and polygon functions is unknown. Support for Gephi, the most widely used network analysis software in the humanities, has unofficially ceased; no new updates have been available since January 2013. Gephi does not operate well with Apple’s latest OSX El Capitain update, and no word has yet been forthcoming as to when such operability issues will be addressed. In the interim humanities and social science experts are increasingly shifting to Cytoscape. Originally designed with National Institute of General Medical Sciences funding to map genome, molecular, and biological pathways, Cytoscape now enjoys growing popularity in the digital humanities community.
The Blue Mountain bibliographic editing team has recently finished revising metadata for the French modernist magazine SIC (1916-1919), one of the 34 avant-garde periodicals in the Blue Mountain Project digital archive. This process has revealed the dynamic and fluid life of periodicals, the developments of modernist art and literature, and a slight tension between generating the ideal of “neutral” data and our scholarly urge to interpret. We are creating this metadata to provide information that is machine-actionable; that is, we are writing code to allow a computer program to harvest information about SIC and render it in a usable form. For example, if a researcher wants to track the price of the magazine over time, a few lines of computer script will read our metadata, harvest the data, and the researcher can use visualization software to render this information in a graph. If Blue Mountain is to provide a spring of clean data, the encoded metadata serves as the wellspring.
When I tell people I’m writing my dissertation on 20th century amateur minstrel shows in the United States, I am typically met with one of two reactions: shock that these performances occurred with such frequency (and well into the 1960s at that), or confusion about what a minstrel show actually is (many people have never heard of minstrelsy at all). When I tell them I attended an instance of staged minstrelsy in Tunbridge, Vermont last March (2015), utter bewilderment ensues.
This year, Blue Mountain is going to flood the library.