Legibility, agency, and negotiability

There’s a lot of debate in the wider world about digital data – issues of access and privacy, the case of Aaron Swartz and open access to knowledge, the Ed Snowden revelations, and, at the personal level, the way that we all leave data trails behind as we traverse the Internet. Surrendering our personal data is difficult to avoid, even if we forswear Facebook, Google, and their like who build their business models on their ability to capture data about us.

In a recent paper by Richard Mortier et al, (2015), they argue that this new world of data requires a new kind of study of human-data interaction, looking at the implications of the data we generate in all kinds of different ways, knowingly or unknowingly.

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Changing gear

There’s an interesting project run out of Durham and Newcastle Universities by Bob Simpson and Robin Humphrey, Writing Across Boundaries, which started off as a series of workshops to look at challenges faced by researchers writing a thesis employing qualitative data but has broadened out somewhat thereafter. Simpson and Humphrey suggest that in recent years

“there has been acceleration in the way researchers progress from one kind of writing to another – doctoral thesis to articles to monograph to more accessible forms of dissemination. The pressure to do in couple of years what an earlier generation might have done in a couple of decades has a variety of external drivers. These mostly come down to funding and the competition for scarce resources on the one hand, and the demonstration of public accountability on the other.”

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Innovation and apprehension

Nicholas Carr points to a new essay by Leon Wieseltier, former literary editor at The New Republic recently moved to The Atlantic, on the state of culture in the digital age. It’s a wide-ranging commentary on the impact of technology on culture:

“… words cannot wait for thoughts, and first responses are promoted into best responses, and patience is a professional liability. As the frequency of expression grows, the force of expression diminishes …”.

He talks of the way that information and knowledge have become treated as equal or equivalent, and the expectation that knowledge requires a scientific approach and so as a consequence the humanities are viewed as less relevant. He argues that we have shifted away from a worldview where humanity is at the centre of our universe to one in which impersonal forces – technologies – have become the key determinant.

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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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Reproduction or revolution?

Emma Bryce (2014) has recently written about her autistic brother’s interest in technology – something that is quite commonly associated with folk on the spectrum. I deliberately wound up a conference audience some years ago by characterising computer-usage amongst archaeologists as fetishistic, but I’m not about to claim that digital archaeologists are autistic. However, one phrase at the end of her article jumped out at me: that regardless of where we are, on or off the spectrum, we all use technology as a form of comfort and security.

“By its very structure, technology invites us to practice repetitive behaviours and keep familiar habits alive. It transports us to places we feel comfortable…”

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Digital Discovery

Matt Edgeworth (2014) has recently sought to consider how the computers used by archaeologists mediate the production and reproduction of archaeological knowledge (2014, 41) and the way the act of archaeological discovery has changed since his innovative ethnographic study of an excavation was carried out around 1990. In particular, he points to the way that the ‘site of discovery’ has in some instances moved to the computer screen from the physical world. He describes how the archaeological workplace has changed in the intervening years, and estimates that most archaeological project managers now spend an average of 70-80% of their time working in digital environments (2014, 43). He points to the increased pace and quantity of work that is consequently achieved, which may lead to an increasingly stressful working environment. That is not to say computers are involved across the board – as he says, some areas of archaeological work remain resistant to computerisation with excavation itself remaining a largely manual process despite the various attempts to use computers onsite (2014, 45). As a result, he suggests archaeologists typically move in and out of different modes of perception – from computer-based work to manual work and back again (2014, 47).

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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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Digital transformation?

The digitisation of archaeology over the past twenty years or so could be said to be an unprecedented transformation of the subject. The move from field notebooks (or quite literally in some cases the backs of envelopes, receipts, bus tickets and the like) to site databases, the move from desktop recording and hand logging to digital data capture in the field, the move from local databases to distributed databanks, the introduction and development of CAD, GIS, 3D modelling, and a host of innovations such as agent-based modelling, reflectance transformation imaging, structure from motion, and increasingly refined and ‘intelligent’ search tools … all these would seem to support the idea of a digital transformation of the subject. The democratisation of technology appears to underline this – the fact that we have moved from a time when computers were in the hands of a few, usually academic, archaeologists to a situation in which everyone has a computer in their pocket, in their bag, and on their desk.

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Developing Digital Stories

Ola Henfridsson (2014) has recently argued that developing compelling stories is perhaps the most important mission of the qualitative information systems researcher. “A powerful story … may inspire us to take action, whether it is within the realm of knowledge, the realm of practice, or at the intersection between the two.” (2014, 356).

Shouldn’t the same be said of the digital archaeologist – shouldn’t we be developing our own narratives?

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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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