Unravelling Cyberinfrastructures

network_switches
Switch! (by Andrew HartCC BY-SA 2.0)

Infrastructures are all around us. They make the modern world work – whether we’re thinking of infrastructures in terms of gas, electric or water supply, telephony, fibre networks, road and rail systems, or organisations such as Google, Amazon and others, and so on. Infrastructures are also what we are building in archaeology. Data distribution systems have increasingly become an integral part of the archaeological toolkit, and the creation of a digital infrastructure – or cyberinfrastructure – underpins the set of grand challenges for archaeology laid out by Keith Kintigh and colleagues (2015), for example. But what are the consequences and challenges associated with these kinds of infrastructures? What are we knowingly or unknowingly constructing?

Patrik Svensson (2015) has pointed to a lack of critical work and an absence of systemic awareness surrounding the developments of infrastructures within the humanities. While he points to archaeology as one of the more developed in infrastructural terms, this isn’t necessarily a ‘good thing’ in the light of his critique. As he says, “Humanists do not … necessarily think of what they do as situated and conditioned in terms of infrastructures” (2015, 337) and consequently:

“A real risk … is that new humanities infrastructures will be based on existing infrastructures, often filtered through the technological side of the humanities or through the predominant models from science and engineering, rather than being based on the core and central needs of the humanities.” (2015, 337).

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Reproducing practice

One theme that came out of the recent CAA 2015 conference in Siena last week circled around the unstated issue of whether the role of digital technology was to support or substitute current (traditional) archaeological practice. This featured particularly strongly in the day-long session organised by James Taylor and Nicolò Dell’Unto, ‘Towards a Theory of Practice in Applied Digital Field Methods’.

Proof I made it to the top of the Torre del Mangia
Siena from the Torre del Mangia

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Inadvertent Algorithms

As the end of 2014 approaches, Facebook has unleashed its new “Year in Review” app, purporting to show the highlights of your year. In my case, it did little other than demonstrate a more or less complete lack of Facebook activity on my part other than some conference photos a colleague had posted to my wall; in Eric Meyer’s case, it presented him with a picture of his daughter who had died earlier in the year. In a thoughtful and thought-provoking piece, he describes this as ‘Inadvertent Algorithmic Cruelty’: it wasn’t deliberate on the part of Facebook (who have now apologised), and for many people it worked well as evidenced by the numbers who opted to include it on their timelines, but it lacked an opt-in facility and there was an absence of what Meyer calls ‘empathetic design’. Om Malik picks up on this, pointing to the way Facebook now has an ‘Empathy Team’ apparently intended to make designers understand what it is like to be a user (sorry, a person), although Facebook’s ability to highlight what people see as important is driven by crude data such as the number of ‘likes’ and comments without any understanding of the underlying meanings which are present.

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Disruptive technology

Curiously, according to Bloomberg’s recent ‘The 85 Most Disruptive Ideas in Our History’, the microchip comes second to the first-place jet engine. And their justification seems stranger still – the way in which the jet shrunk the world is perhaps fair enough, though the claim that for the first time the entire surface of the planet was reachable is open to question. Tell that to the likes of Alcock and Brown (first non-stop transatlantic flight, 1919), Macready and Kelly (first non-stop transcontinental flight, 1923), Smith and Nelson (first round the world flight, 1924) (and see Famous Firsts in Aviation for more in this vein). And yet in almost the same breath it is noted that the jet engine technology has become remarkably static.

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Big Data and Distance

One of the features of the availability of increasing amounts of archaeological data online is that it frequently arrives without an accompanying awareness of context. Far from being a problem, this is often seen as an advantage in relation to ‘big data’ – indeed, Chris Anderson has claimed that context can be established later once statistical algorithms have found correlations in large datasets that might not otherwise be revealed.
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