...the claim is being made that, as computational objects have developed, cities are able to take on new forms of vitality (Stern, 2010), forms of vitality which can develop over time. Perhaps one way in which we might consider this ques- tion is precisely through looking at how vitality devel- ops when computational things are explicitly included in the contours of experience. Then it becomes clear that it has only gradually arisen, line by line, algorithm by algorithm, program by program.
Wilson, M. W. (2011). Data matter(s): legitimacy, coding, and qualifications-of-life. Environment and Planning D: Society and Space, 29(5), 857–872.
Really helpful paper from Matthew Wilson on the interminglings of data and geography. Although more concentrated on a particular aspect of community life (namely reporting problems or damage to local facilities etc.), the paper has some strong relevances for the Tenison Road project. Especially useful are Wilson’s thoughts on mattering in relation to feminist technoscience and of course
Haraway D J, 1991 Simians, Cyborgs, and Women: The Reinvention of Nature (Routledge, New York)
Haraway D J, 1997 Modest_Witness@Second_Millennium. FemaleMan©_Meets_OncoMouse™: Feminism and Technoscience (Routledge, New York)
Haraway D J, 1999, “Knowledges and the question of alliances”, in Knowledges and the Question of Alliances: A Conversation with Nancy Hartsock, Donna Haraway, and David Harvey (Kane Hall, University of Washington, Seattle, WA)
After a tremendous about of work with Lara Houston, I’m delighted to have finally gone live with our data policy site: data-policy.info. It attempts to detail, in various formats and cuts, the discussions at the day of dialogues on data, policy and civic life, held at Microsoft Research Cambridge. More than this though, we want the site to promote further discussion and expand the ways we might think of the relations between data, social/civic life, and policy. For me, the inspiration here has been the work a few of us have been doing with Tenison Road in cambridge and a community’s efforts to make sense of and use its data. I’d like to think something small and local could make a difference in these big discussions
Next Tuesday a few of us at Microsoft Research are hosting a day-long dialogue to discuss the interminglings of data and social/civic life. We’re bringing together a mix of social theorists, commentators and policy advisers with the hope of drawing out possibilities for doing policy making (as well as technology design) differently. Our preamble for the event follows (a printable PDF can be downloaded here): (more…)
A few of us working at the intersection of data, civicmedia and citizenship are taking a look at this article by AbdouMaliq Simone. Some rambling comments follow:
First, just a short point about style: I’m delighted to see Simone’s unapologetic use of rich descriptions of Jo’berg’s streets. They are in striking contrast to what I see to be the standard ethnographic account in HCI papers. What I find tedious is the usual preamble in HCI works—explaining method—and then the use of participants’ quotes as a kind of ‘proof’ of particular points. Also, both point to a curious idea of what it means to demonstrate evidence or proof. Simone bothers with none of this. He gets straight to the stories, to the rich descriptions of inner city Jo’berg and its underbelly. (more…)
Abstract for upcoming talk at Austerity Futures? seminar 4.
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.
Referencing her New Media’s Intermediaries article, I want to glimpse back to reflect on how Nina Wakeford positioned INCITE and made sense of it against a back drop of cultural theory, science and technology studies, CSCW and sociology
.. And, in doing this, I also want to peer forward, to consider what troubles there might be ahead, and what productive possibilities we might imagine for ourselves. (more…)
“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.