On Graduate Education in the Humanities, by a Graduate Student in the Humanities

Lindsay Thomas, the hard working blogger for 4Humanities has written an excellent piece On Graduate Education in the Humanities, by a Graduate Student in the Humanities. She talks about how hard it is to complete quickly when you are making ends meet by TAing and teaching constantly. She talks about the “casualization” of academic labor.

I would add to her essay that we need to think about expanding outcomes for graduate students. We design graduate programs to produce junior faculty (or casual labor who hang on in hopes of getting full-time faculty jobs.) What we don’t do is to design programs so that they prepare people for knowledge work outside the academy. This is not rocket science, there are all sorts of ways to do it and digital humanities programs could take the lead as our student acquire skills of broader relevance. But, as Lindsay points out, if you start changing or adding to graduate programs you can just extend the time to completion and students might end up no better off.

Twitter hands your data to the highest bidder, but not to you

The Globe and Mail had a very interesting article on how Twitter hands your data to the highest bidder, but not to you. The article talks about how Twitter is archiving your data, selling it, but not letting you access your old tweets. The article mentions that DataSift is one company that has been licensed to mine the Twitter archives. DataSift presents itself as the “the world’s most powerful and scalable platform for managing large volumes of information from a variety of social data sources.” In effect they do real-time text analysis for industry. Here is what they say in What we do:

DataSift offers the most powerful and sophisticated tools for extracting value from Social Data. The amount of content that Internet users are creating and sharing through Social Media is exploding. DataSift offers the best tools for collecting, filtering and analyzing this data.

Social Data is more complicated to process and analyze because it is unstructured. DataSift’s platform has been built specifically to process large volumes of this unstructured data and derive value from it.

One thing that DataSift has is a curation language called CDSL (Curated Stream Definition Language) for querying the cloud of data they gather. The provide an example of what you can with it:

Here’s an example, just for illustration, of a complex filter that you could build with only four lines of CSDL code: imagine that you want to look at information from Twitter that mentions the iPad. Suppose you want to include content written in English or Spanish but exclude any other languages, select only content written within 100 kilometers of New York City, and exclude Tweets that have been retweeted fewer than five times. You can write that in just four lines of CSDL!

It would be interesting to develop an academic alternative similar to Archive-It, but for real-time social media tracking.

The Old Bailey Datawarehousing Interface

The latest version of our Old Bailey Datawarehousing Interface is up. This was the Digging Into Data project that got TAPoR, Zotero and Old Bailey working together. One of the things we built was an advanced visualization environment for the Old Bailey. This was programmed by John Simpson following ideas from Joerg Sanders. Milena Radzikowska did the interface design work and I wrote emails.

One feature we have added is the broaDHcast widget that allows projects like Criminal Intent to share announcements. This was inspired partly by the issues of keeping distributed projects like TAPoR, Zotero and Old Bailey informed.

InSight: Visualizing Health Humanities

The GRAND group has a work being exhibited at the InSight: Visualizing Health Humanities show that starts tonight. We used Unity to create a FPS (First Person Shooter) type of game for medical communication. The game, called CatHETR, lets players move through a ward dealing with communicative situations. This project was supported by the GRAND Network of Centres of Excellence.

Perlin: Interactive Map of Pride and Prejudice

As I mentioned in my post on the GRAND conference, Ken Perlin showed a number of interesting Java apps that illustrated visual ideas. One was a Interactive Map of Pride and Prejudice. This interactive map is a rich prospect of the whole text which you can move around to see particular parts. You can search for words (or strings) and see where they appear in the text. You can select some text and it searches. The interface is simple and intuitive. You can see how Perlin talks about it in his blog. I also recommend you look at his other experiments.

GRAND 2012 Conference Report

Last week I was at the GRAND 2012 conference. GRAND (Graphics, Animation, and New Media) is a Networks of Centres of Excellence that brings together people across disciplines and across the country around gaming, new media and so on. You can see my GRAND 2012 conference notes here.

This year we had two of the best keynotes of any conference I have been to. Valerie Steeves talked about her research into parents and youth on the internet. The change in attitudes of both parents and youth to the internet between 2000 and today was dramatic. Ken Perlin was the closing keynote and he showed Java apps that he wrote as experiments. It made me want to learn to program in Java just to have as much fun as he was having.

The X Factor – Brainstorm – The Chronicle of Higher Education

From Humanist, a link to an article on online education, The X Factor (in the Brainstorm blog of the Chronicle of Higher Education. The post talks about how Harvard University has joined with MIT to create edX, an online education consortium. Harvard is now joining the MOOC (Massive Online Open Courses) bandwagon pioneered by some Stanford profs who opened their courses to thousands. The author, Kevin Carey, points out that edX won’t compete with MIT or Harvard, but with other online providers and with less prestigious institutions.

I worry we are going to see a lessening of educational diversity. I worry that the star quality of MIT, Harvard and Stanford will drive out less prestigious players leaving us with a small number of online courses. Fewer instructors for more people will mean more standardization of education and less diversity.

The New York Times has a Room for Debate on this, Got a Computer? Get a Degree with different reactions to the news. Most seem positive, but few feel that certificates for taking MOOCs are comparable to real course credit.

Kurt Vonnegut on the Shapes of Stories

I’ve been meaning to blog on the video circulating of Kurt Vonnegut talking about the Shape of Stories. He describes the curves followed by popular stories like “boy meets girl” and suggests computers could even understand such simple curves. In Lapham’s Quarterly you can read the text of this lecture with illustrations. See Kurt Vonnegut at the Blackboard. In this version he asks about the value of such systems, a question which could apply equally to computer generated visualization,

The question is, does this system I’ve devised help us in the evaluation of literature? Perhaps a real masterpiece cannot be crucified on a cross of this design. How about Hamlet?

He concludes that the system doesn’t work because the truth is ambiguous. We simply don’t know in complex works (like Hamlet) if news is good or bad. Good literature is open to interpretation.

But there’s a reason we recognize Hamlet as a masterpiece: it’s that Shakespeare told us the truth, and people so rarely tell us the truth in this rise and fall here [indicates blackboard]. The truth is, we know so little about life, we don’t really know what the good news is and what the bad news is.

Many have noticed this amusing play on visualization including an infographic on Visua.ly, Kurt Vonnegut on the Shapes of Stories:

Plot visualization from Vonnegut