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.
Is “e-history” just relevant for very recent times, and leading “naturally” to a narrow interest in quantities and prices? Not so!
(OK, this is a very unfair reading of Loic’s comments on my last post. Still, the video is interesting and illustrates how “e-history” is not just about crunching numbers, as the repetitive comparisons with cliometrics would suggest).
I thought that answering Ben’s excellent and stimulating question (in the previous post just above this one) could justify the opening of a new post.
His question was, are there any new BIG questions for history? I’d say that there is at least one great challenge for history: the entry into “e-history”. By that, I mean the renewing of methods and research questions in history, implied by the recent digital data floods: internet, digital personal documents, online journals, transactional data (e.g., mobile communications, data on financial transfers, etc.).
Wait, is it really a BIG question, or simply a new set of tools?
Well, let’s consider what happened to sociologists, when the realization came that digital data could be of importance to their field. The following quote will make this post awfully long, but it gives such a dramatic view on the issue that I can’t resist:
Our sense of this impending crisis has crept up upon us as we have gone about our work in recent years. For Savage, an early sign was in 2004 when he attended the ESRC Research Methods festival. With colleagues Gindo Tampubolon and Alan Warde he was enrolled in a session designed to popularize social network methods. He talked about an ESRC-funded research project which mapped the personal connections and ties of members of three voluntary organizations using social network analysis. The project had proved time consuming and intensive.
A lot of time had been spent finding three organizations prepared to participate, a postal questionnaire had been sent to 320 members in total, with a very high response rate. Many members had been interviewed face-to-face to ask detailed questions about their social networks. Thirty life histories had been conducted. The resulting intensive study of the members’ social ties was amongst the most detailed ever carried out in the UK (see Ray et al., 2003; Warde et al., 2005). During the Festival Savage talked to other participants interested in social network methods. It turned out that one enthusiast was not an academic but worked in a research unit attached to a leading telecommunications company. When asked what data he used for his social network studies, he shyly replied that he had the entire records of every phone call made on his system over several years, amounting to several billion ties. This is data which dwarves anything that an academic social scientist could garner. Crucially, it was data that did not require a special effort to collect, but was the digital by-product of the routine operations of a large capitalist institution. It is also private data to which most academics have no access. To be sure, we can cavil about its limits. It does not tell us what the callers actually talked about. We can emphasize our superior reflexivity, theoretical sophistication, or critical edge. Fair enough – up to a point. Yet the danger is that this response involves taking refuge in the reassurance of our own internal world, our own assumed abilities to be more ‘sophisticated’, and thereby we chose to ignore the huge swathes of ‘social data’ that now proliferate.
Now, transactional data might not be of prime importance for historians of economic thought. But other forms of digital data definitely are. Many living economists will donate their archives not in the form of 200+ linear feet of boxes, but simply in the form of a one kilo external hard drive containing a few terabytes of data.
The method that we know and practice – go slowly and methodically through each file of a box in the archives – might still work (simply demanding even more patience, I suppose), but the volume of data will invite to different forms of historical analysis as well.
Indeed, these archives, we might expect, will make new kinds of material accessible: more complete series of drafts leading to the published version of a given work, with preserved annotations from all co-authors in the case they used the capabilities now afforded by most text editors. The underlying data in case of an empirical work, full correspondence with co-authors, detailed chronology / calendar of the work on a publication, all will become potentially available to the historian. But also drafts of grant applications, full bibliographies chronologically indexed by date of their entry in the database (now a common practice, which will be so useful for historians!), lecture materials, administrative records, … should become routinely available to historians, very soon.
Correspondence, in particular, will be much better documented. Whereas we had to find two economists close enough professionally, but far enough geographically, to expect a letter correspondence between the two, now the communication by email will surely make available a much richer record of exchanges, even between two colleagues working on the same floor.
Same for archives from universities and departments, institutes, governmental organizations. It will surely encourage the development of mid-range studies, at mid-way between the “big picture” history and the biographical approach.
BIG questions will (actually, are) now on the table:
– geography of science (through geolocalization data and content analysis)
=> can we observe a phenomena of Americanization of economics?
=> is it possible to map the coming of Keynesianism to the US?
=> can we represent the impact of the European refugees in American universities from the 1930s onwards?
=> can the “travel” of a concept, and its derivations, be tracked in publications?
– interdisciplinarity (through scientometrics and content analysis)
=> what was the dynamics of of interdisciplinary contacts between economics and the rest of social and natural sciences? At the individual level? At the organizational level?
=> was the interdisciplinarity character of a research center or a deparment a fact, and in which sense?
– production of knowledge (through many methods, including network analysis and web mining)
=> what are the invisible colleges in the history of economics? Offline, and online?
=> trace back the precise genesis of a land-marking paper in a given field
=> trace back a very rich biographical portrait of a given scientist
One might object that these questions are not new. True, but a new question is most often a classic one, asked in a new way. Look at the abstract of the communication by Esther Duflo, cited by Ben in his post: her big question for development economics is all about suggesting different empirical methods for classic questions. Same for history of economics and the new methods from e-science, I’d say.
I do not pretend that the questions and methodological innovations brought by e-science should replace our existing practices. Neither do I claim that they will develop easily. They have begun to raise serious issues for librarians and curators, be it the delineation between private and professional documents contained in the digital files donated by a scholar, or the question of the preservation of digital files coded in file formats no longer used after a few years or decades. Even the “simple” question of the communication of these documents to the visiting or online historian appears to be a difficult one in practice. But they will have an impact – each of us can realize that – users as we are of emails, text editors, blogs, etc.
So what? If we agree on the above, then one important consequence emerges, I’d argue. PhD students, and all of us, ideally, in history (of economic thought, and else) would benefit from a training in the methods to address this new empirical material. Yes, it means learning a bit of programming and computing science. A New Year’s resolution for 2011?
I was so close to have found my laptop’s new wallpaper here. It makes the glamour of our profession shine. Remember, historians are would-be Indiana Jones (or is it now Julian Assange?).
It’s just that the picture is of a too small size for a full screen display. After verification, no it is not. There are more uses than just a wallpaper though. If I were at Duke, I’d print it in A3 and display it on the RBMSC Library‘s front door. Not sure it would encourage economists to donate their personal archives, but it would certainly excite patrons’s interest!
The new book of Paul Glimcher is out. Glimcher (based at NYU) is the promoter of neuroeconomics, a young field which studies the neural basis of decision-making.
There are few, if any, consensual historical narratives on neuroeconomics. Glimcher and co-authors wrote a short historical piece two years ago, but in my opinion it tried too hard to gather all possible antecedents (experimental eco, behavioral eco, signal theory, cognitive psycho, brain imaging, etc, etc) to give a comprehensive view.
And this is why I like Glimcher’s books. To convey an interest for neuroeconomics, he proceeds to re-read and interpret the long history of science in biology and medicine, pyschology and economics – if I remember well, his book of 2003 went back as far back as Gallienus, and evoked the writings of Pascal, Bernoulli, Laplace, …
Same deal for his new book: we are told the recent history of choice theory in neuroscience, psycho and eco. This exercise permits him to show that the separate disciplinary views on decision-making each suffer from espitemological deficiencies which could be remediated by making them dialoguing. And this is not a rapid rhetorical brush in the first chapters, before proceeding to “really interesting analytical stuff”. I mean, I am at page 188 and we just arrived in the late 1990s, when the first papers in the neuroscience of vision introduced economic variables in their experiments (uncertainty, intensity of reward).
Glimcher is trying hard to break the Chinese walls separating neuroscientists, psychologists and economists. The title he chose for the book suggests that he cares specially to reach economists – because they are the most insulated, I’d bet. But as an unwanted by-product, he makes neuroeconomics very interesting to historians of science too!