As described in previous posts, the first year Digital Fellows at CHNM have been working on a project under the Research division that involves collecting, cleaning, and analyzing data from a corpus of THATCamp content. Having overcome the hurdles of writing some python script and using MySQL to grab content from tables in the backend of a WordPress install, we moved on to the relatively straightforward process of running our stripped text files through MALLET.
As we opened the MALLET output files, excited to see the topic models it produced, we were confronted with a problem we didn’t reasonably anticipate and this turned into a rather important discussion about data and meaning.
The spring semester is here and the first year DH fellows have begun our rotation into the Research division of CHNM.
To get the ball rolling, we spent a week working through the helpful tutorials at the Programming Historian. As someone new to DH, with admittedly limited technical skill and knowledge, these were immeasurably useful. Each tutorial breaks content into smaller, less intimidating units. These can be completed in succession or selected for a particular topic or skill. While there is useful content for anyone, we focused our attention on Python and Topic Modeling with the aim of solving our own programming dilemma.
Our central challenge was to extract content across the THATCamp WordPress site to enable us to do some text analysis.
The past seven weeks have moved really quickly but I have benefitted a great deal from the time we spent in the Public Projects section of CHNM.
Due to my relatively limited technical skills, this section has proven to be the most challenging thus far. However, with some help, and some pretty detailed instructions, I have been expanding my skill set and feel a lot less intimidated by the tools we work with. There are three main projects on which we focused: testing updates in Omeka, transcribing and revisiting documents at the Papers of the War Department and contributing to and testing the National Mall site.
I have deeply enjoyed them all, especially the sunny morning we spent at the National Mall. Additionally, a great deal of our work overlapped with the theoretical reading and discussions of our coursework as digital history scholars. It is rare for theory and application to be balanced, but that was definitely my experience this semester. I was frequently surprised to find applications of class reading at work and often referred to the work done at CHNM during course discussions.
Public Projects was deeply inclusive for us as fellows. I got a real sense of each of the ongoing projects and I learned a great deal about the collaborative work required to produce the resources described above.
Overall, this semester the fellowship has given me a structured place to develop my knowledge and expertise with digital tools, like Omeka and Scripto, and given me a sandbox to play with Git Hub and the command-line (if you know what those things are, you are in a much better place than I was three months ago!)
I’m looking forward to learning more in the semester to come!
My time in the education department at CHNM has passed quickly, but it has also been deeply enriching. I’ve learned a lot about the challenges of creating historical scholarship geared toward K-12 students and have come to appreciate the importance of integrating digital media in the classroom. As one can imagine, coming into the Center with limited technical skills can be intimidating, but in these seven weeks the combination of course content and fellowship activities has greatly reduced my concerns.
My first introduction to the Center for History and New Media happened without my even realizing it. As a graduate student at Gallaudet University, a professor urgently encouraged us to begin using Zotero and as I rounded the corner on two Masters theses, the value of this tool was not lost on me. Only after I had begun the process of applying to history programs did I realize that my favorite citation tool had its origins here at George Mason University and CHNM.