At UCL, a project is run to transcribe the lots of J. Bentham’s unedited papers.
The originality is that they will use “crowd sourcing” for this task: a collaborative project to digitize his papers, with the help of volunteers drawn from the web. Gratuitous, hype project? Not quite, since these are 40,000 papers of Bentham that have never been transcribed or studied, and a massive distributed effort seems a clever use of the technology to speed up the completion of the transcription.
Jump at 5’15 for the description of the crowd-sourcing project.
What do the Bentham’s specialists think about this initiative? Do they expect it to change the scholarship on Bentham in any significant manner?
At about the same time economists were publishing their AER’s hall of fame, the team that brought the Google n-gram viewer published their own version of a hit-parade: an all-time, all-discipline scientists’ ranking. Success is counted in milli-Darwins (mD), and measures the frequency of citation in a corpus representing 4% of all the books ever printed:
John von Neumann (137mD), and Harold Hotelling (27mD), if you want. But that’s cheating. As far as I could see, the only economist by training cited in the first 200 is Herman Daly (48mD). Certainly a surprise to me (not a bad one), and a motive for thought about the cultural imprint of economics!
(btw: is it a coincidence that Hotelling, like Herman Daly, is also a contributor to the study of the finiteness of natural resources?)
I had a twitter account for long. After faint hearted attempts at tweeting (“Going for lunch”, “Really appreciated my week-end in Paris”), I just gave up. What is this service for?
Developing an interest in digital humanities changed my opinion. It is not quite a field yet: I am not aware of established journals devoted to digital humanities, or of international societies with annual meetings. But it is certainly a community of interest. The trouble for this community is that they come from widely different backgrounds: history, demography, philology, but also machine learning and software developing, to mention just a few. How do they get to know and learn from each other?
Twitter happens to be a very convenient space for this purpose. It is commonly used by computing scientists, who tweet furiously about their ideas, results, and the events they organize. And some social scientists started participating in the discussion. They are very few for now, but the principle of twitter is that each “tweet” can quote links and keywords which can then be followed (and re-tweeted, etc.) So that their voices are amplified, and at the end one gets quite a broad view of social sciences in the digital humanities.
For instance, what triggered the writing of this post was reading a fascinating blog post by a Princeton scholar on the design of databases for historians, which I discovered by following a link on twitter (http://sappingattention.blogspot.com/2011/03/what-historians-dont-know-about.html). The point I want to make is that, instead of following the work of this Princeton guy in particular (even if in this case that might be a good idea!), it might be actually a better idea to use twitter and take advantage of its “echo chamber” effect, which will bring you a view on his work when he gets referred in links, and a much vaster view of the digital humanities in general by simply tracking a few keywords and individuals.
If you are tempted, here are a few of my favorites to follow on twitter:
#nltk (for textual analysis)
#sna (for social network analysis)
@jonathantray (a professional journalist and a computer scientist, works now for AP, the news agency)
@wmijnhardt (an exec at my univ, tweets a lot about science management)
He does not tweet, but gets cited a lot in the chatter: Elijah Meeks from Stanford – another fine scholar in the digital humanities.