An annual tradition at Three Rings is DevCamp, an event that borrows from the “hackathon” concept and expands it to a week-long code-producing factory for the volunteers of the Three Rings development team. Motivating volunteers is a very different game to motivating paid employees: you can’t offer to pay them more for working harder nor threaten to stop paying them if they don’t work hard enough, so it’s necessary to tap in to whatever it is that drives them to be a volunteer, and help them get more of that out of their volunteering.
At least part of what appeals to all of our developers is a sense of achievement – of producing something that has practical value – as well as of learning new things, applying what they’ve learned, and having a degree of control over the parts of the project they contribute most-directly to. Incidentally, these are the same things that motivate paid developers, too, if a Google search for studies on the subject is to believed. It’s just that employers are rarely able to willing to offer all of those things (and even if they can, you can’t use them to pay your mortgage), so they have to put money on the table too. With my team at Three Rings, I don’t have money to give them, so I have to make up for it with a surplus of those things that developers actually want.
It seems strange to me in hindsight that for the last seven years I’ve spent a week of my year taking leave from my day job in order to work longer, harder, and unpaid for a voluntary project… but that I haven’t yet blogged about it. Over the same timescale I’ve spent about twice as long at DevCamp than I have, for example, skiing, yet I’ve managed to knock out several blog posts on that subject. Part of that might be borne out of the secretive nature of Three Rings, especially in its early days (when involvement with Three Rings pretty-much fingered you as being a Nightline volunteer, which was frowned upon), but nowadays we’ve got a couple of dozen volunteers with backgrounds in a variety of organisations: and many of those of us that ever were Nightliner volunteers have long since graduated and moved-on to other volunteering work besides.
Part of the motivation – one of the perks of being a Three Rings developer – for me at least, is DevCamp itself. Because it’s an opportunity to drop all of my “day job” stuff for a week, go to some beatiful far-flung corner of the country, and (between early-morning geocaching/hiking expeditions and late night drinking tomfoolery) get to spend long days contributing to something awesome. And hanging out with like-minded people while I do so. I like I good hackathon of any variety, but I love me some Three Rings DevCamp!
So yeah: DevCamp is awesome. It’s more than a little different than those days back in 2003 when I wrote all the code and Kit worked hard at distracting me with facts about the laws of Hawaii – for the majority of DevCamp 2016 we had half a dozen developers plus two documentation writers in attendance! – but it’s still fundamentally about the same thing: producing a piece of software that helps about 25,000 volunteers do amazing things and make the world a better place. We’ve collectively given tens, maybe hundreds of thousands of hours of time in developing and supporting it, but that in turn has helped to streamline the organisation of about 16 million person-hours of other volunteering.
So that’s nice.
Oh, and I was delighted that one of my contributions this DevCamp was that I’ve finally gotten around to expanding the functionality of the “gender” property so that there are now more than three options. That’s almost more-exciting than the geocaches. Almost.
Edit: added a missing word in the sentence about how much time our volunteers had given, making it both more-believable and more-impressive.
Last month I got the opportunity to attend the EEBO-TCP Hackfest, hosted in the (then still very-much under construction) Weston Library at my workplace. I’ve done a couple of hackathons and similar get-togethers before, but this one was somewhat different in that it was unmistakably geared towards a different kind of geek than the technology-minded folks that I usually see at these things. People like me, with a computer science background, were remarkably in the minority.
Instead, this particular hack event attracted a great number of folks from the humanities end of the spectrum. Which is understandable, given its theme: the Early English Books Online Text Creation Partnership (EEBO-TCP) is an effort to digitise and make available in marked-up, machine-readable text formats a huge corpus of English-language books printed between 1475 and 1700. So: a little over three centuries of work including both household names (like Shakespeare, Galileo, Chaucer, Newton, Locke, and Hobbes) and an enormous number of others that you’ll never have heard of.
The hackday event was scheduled to coincide with and celebrate the release of the first 25,000 texts into the public domain, and attendees were challenged to come up with ways to use the newly-available data in any way they liked. As is common with any kind of hackathon, many of the attendees had come with their own ideas half-baked already, but as for me: I had no idea what I’d end up doing! I’m not particularly familiar with the books of the 15th through 17th centuries and I’d never looked at the way in which the digitised texts had been encoded. In short: I knew nothing.
Instead, I’d thought: there’ll be people here who need a geek. A major part of a lot of the freelance work I end up doing (and a lesser part of my work at the Bodleian, from time to time) involves manipulating and mining data from disparate sources, and it seemed to me that these kinds of skills would be useful for a variety of different conceivable projects.
I paired up with a chap called Stephen Gregg, a lecturer in 18th century literature from Bath Spa University. His idea was to use this newly-open data to explore the frequency (and the change in frequency over the centuries) of particular structural features in early printed fiction: features like chapters, illustrations, dedications, notes to the reader, encomia, and so on). This proved to be a perfect task for us to pair-up on, because he had the domain knowledge to ask meaningful questions, and I had the the technical knowledge to write software that could extract the answers from the data. We shared our table with another pair, who had technically-similar goals – looking at the change in the use of features like lists and tables (spoiler: lists were going out of fashion, tables were coming in, during the 17th century) in alchemical textbooks – and ultimately I was able to pass on the software tools I’d written to them to adapt for their purposes, too.
And here’s where I made a discovery: the folks I was working with (and presumably academics of the humanities in general) have no idea quite how powerful data mining tools could be in giving them new opportunities for research and analysis. Within two hours we were getting real results from our queries and were making amendments and refinements in our questions and trying again. Within a further two hours we’d exhausted our original questions and, while the others were writing-up their findings in an attractive way, I was beginning to look at how the structural differences between fiction and non-fiction might be usable as a training data set for an artificial intelligence that could learn to differentiate between the two, providing yet more value from the dataset. And all the while, my teammates – who’d been used to looking at a single book at a time – were amazed by the possibilities we’d uncovered for training computers to do simple tasks while reading thousands at once.
Elsewhere at the hackathon, one group was trying to simulate the view of the shelves of booksellers around the old St. Paul’s Cathedral, another looked at the change in the popularity of colour and fashion-related words over the period (especially challenging towards the beginning of the timeline, where spelling of colours was less-standardised than towards the end), and a third came up with ways to make old playscripts accessible to modern performers.
At the end of the session we presented our findings – by which I mean, Stephen explained what they meant – and talked about the technology and its potential future impact – by which I mean, I said what we’d like to allow others to do with it, if they’re so-inclined. And I explained how I’d come to learn over the course of the day what the word encomium meant.
My personal favourite contribution from the event was by Sarah Cole, who adapted the text of a story about a witch trial into a piece of interactive fiction, powered by Twine/Twee, and then allowed us as an audience to collectively “play” her game. I love the idea of making old artefacts more-accessible to modern audiences through new media, and this was a fun and innovative way to achieve this. You can even play her game online!
But while that was clearly my favourite, the judges were far more impressed by the work of my teammate and I, as well as the team who’d adapted my software and used it to investigate different features of the corpus, and decided to divide the cash price between the four of us. Which was especially awesome, because I hadn’t even realised that there was a prize to be had, and I made the most of it at the Drinking About Museums event I attended later in the day.
If there’s a moral to take from all of this, it’s that you shouldn’t let your background limit your involvement in “hackathon”-like events. This event was geared towards literature, history, linguistics, and the study of the book… but clearly there was value in me – a computer geek, first and foremost – being there. Similarly, a hack event I attended last year, while clearly tech-focussed, wouldn’t have been as good as it was were it not for the diversity of the attendees, who included a good number of artists and entrepreneurs as well as the obligatory hackers.
But for me, I think the greatest lesson is that humanities researchers can benefit from thinking a little bit like computer scientists, once in a while. The code I wrote (which uses Ruby and Nokogiri) is freely available for use and adaptation, and while I’ve no idea whether or not it’ll ever be useful to anybody again, what it represents is the research benefits of inter-disciplinary collaboration. It pleases me to see things like the “Library Carpentry” (software for research, with a library slant) seeming to take off.