Slightly off topic, but I thought it would be worth sharing my attempt at what might seam the trifling problem of securing a bike seat or saddle to a bike. (more…)
We’ve published a short commentary on the Tenison Road project in the new Big Data & Society journal. Download it here (open access).
Taylor, A. S., Lindley, S., Regan, T., & Sweeney, D. (2014). Data and life on the street. Big Data & Society, 1(2).
Abstract: What does the abundance of data and proliferation of data-making methods mean for the ordinary person, the person on the street? And, what could they come to mean? In this paper, we present an overview of a year-long project to examine just such questions and complicate, in some ways, what it is to ask them. The project is a collective exercise in which we – a mixture of social scientists, designers and makers – and those living and working on one street in Cambridge (UK), Tenison Road, are working to think through how data might be materialised and come to matter. The project aims to better understand the specificities and contingencies that arise when data is produced and used in place. Mid-way through the project, we use this commentary to give some background to the work and detail one or two of the troubles we have encountered in putting locally relevant data to work. We also touch on a methodological standpoint we are working our way into and through, one that we hope complicates the separations between subject and object in data-making and opens up possibilities for a generative refiguring of the manifold relations.
Abstract for upcoming talk at Austerity Futures? seminar 4.
[Big] data futures, from the street.
Stories about big data are everywhere. We’re being told how significant the impact of big data will be on our lives by all kinds of people in the know. And yet I’ve been grappling with what (big) data might really mean to people who aren’t fully signed up members of the digerati, those shapers, makers and moders of technological futures. I’ve pondered, in short, on two simple questions: how does data matter to ‘people on the street’, and how might they want it to matter. In this talk, I’ll reflect on a project we’ve been building up at Microsoft Research to begin working through these questions. I want to discuss our efforts to ground a technological imaginary in ordinary life or, to put it another way, to enable a productive re-imagining of ‘big data futures’—to coin a phrase—from ‘the street’. I’ll describe how we’ve taken this challenge quite literally. Just over three weeks ago we began working with one street in Cambridge, Tenison Road. For at least a year, we plan to think through what data means for the Tenison Road community and in some cases to enable ways for the community to intervene in the future imaginaries. Although this won’t be a talk or for that matter a project about austerity, I certainly think it is one in which austerity and its repercussions will come to matter. My aim, then, will be to reflect on how this is a project concerned with futures, futures that are heavily concentrated in the minds of the technological elite, but also some that are more pedestrian that might just offer alternative possibilities for what (big) data could mean and what we might do with it.
web: tenisonroad.com | email: [email protected] | twitter: @tenisonroad
Some early thoughts on data and privacy, thinking with Solove’s Nothing to Hide:
Early on in his 2011 book, Nothing to Hide, Daniel Solove makes a provocative claim. He writes:
“Legal and policy solutions focus too much on the problems under the Orwellian metaphor—those of surveillance—and aren’t adequately addressing the Kafkaesque problems—those of information processing” p.26
Solove’s point here is that much of the legal wranglings and policy making surrounding privacy are based on the premise that people have something to hide. Thus the aims have, by and large, been tied to securing protections against surveillance—operating within the rubric of an “Orwellian metaphor”.
The broader argument Solove makes is that this treatment of privacy is missing the proverbial trick. As a concept, privacy doesn’t simply entail people wanting to hide things. For starters, according to Solove, “[m]any people don’t care about concealing the hotels they stay at, the cars they own, or the kind of beverages they drink.” p.25 “[M]uch of the data gathered in computer databases isn’t particularly sensitive, such as one’s race, birth date, gender, address, or marital status.” P.25
It isn’t so much the gathering of information that matters, Solove contends. It’s what agencies like governments are doing with it—the “information processing”—that counts. The allusion is to a Kafkaesque world in which the relations between agencies and individuals are managed and controlled through the analysis of information or data. The power, so to speak, is held by those who can both access the data and subject it to sophisticated analysis. I take this use of information processing to be analogous to big data analytics and certainly most of the examples Solve refers to support this.
I don’t know what Solove’s sources are for suggesting “most people” don’t care about the content of the information being gathered about them (this recent Guardian article appears to confirm this). I do get his broader point though. Certainly, it’s limiting to see privacy as exclusively based on the premise that people have something to hide. Moreover, the possibilities big data analytics open up for discovering some pretty personal things about people do seem daunting, if perhaps over-hyped.
Yet, without wanting to discount Solove’s argument, I want to propose a different way of thinking about this issue of information processing. Seen from the ground up, we might also start to ask what people themselves want to say through their data and using analytics. When Solove writes about “most people” I think we need to begin thinking about what this actual means and if there are ways of making claims like this actionable. So, a counter to the “nothing to hide argument” could be that most people—given the knowledge and tools—have “something to say”. That is they may want to have some say over how their information is distributed, aggregated, analysed and interpreted and, ultimately, how it is productively put to work. This certainly won’t solve the multiple problems surrounding privacy, but it may at least redistribute the power and, in the process, give people some new ways of expressing themselves.
Oh, and as it happens, this question of how to enable people to have some sort of say and control over what gets done with their information is one of the motivations for the new project we’re ramping up in my group at Microsoft Research.
* A thank you to Jessa Lingel for pointing me to the first quote above from Solove.
Finally posted some flyers to announce the launch of the big data project we’ll run for a year. We hope to work with the residents and proprietors on Tenison Road in Cambridge to better understand how big data matters and what people on the street want it to be. This is a project that is aiming to get at the interminglings of data and locality, and to intervene in the entanglements in productive ways. That’s the hope! … Fingers crossed.