Reblog> Postdoc job on ProgCity project – great opportunity

This is a great opportunity for someone broadly working in the areas of interest specified below…

Post advertised: Postdoc on ProgCity project

We are seeking a postdoctoral researcher (14 month contract) to join the Programmable City project.  The researcher will critically examine:

  • the political economy of smart city technologies and initiatives; the creation of smart city markets; the inter-relation of urban (re)development and smart city initiatives; the relationship between vendors, business lobby groups, economic development agencies, and city administrations; financialization and new business models; and/or,
  • the relationship between the political geography of city administration, governance arrangements, and smart city initiatives; political and legal geographies of testbed urbanism and smart city initiatives; smart city technologies and governmentality.

There will be some latitude to negotiate with the principal investigator the exact focus of the research undertaken. While some of the research will require primary fieldwork (Dublin/Boston), it is anticipated it will also involve the secondary analysis of data already generated by the project.

More details on the post and how to apply can be found on the university HR website.  Closing date: 5th December.

The awkwardness of data debates, or how social scientists & policymakers don’t talk

I feel prompted to write something I’ve been puzzling over for a while because of a tweet and post on medium [The commodification of data, by Ade Adewunmi] I saw recently:

It’s a good post, but for some academic social scientists this is now an established argument that’s been developed, been the subject of conferences and books and so on. For a while now, I’ve had a sense of an awkward gap between the conversations about the various concerns for ‘data’ I witness through social media. In particular, I’ve been struck by how different the conversations are between (social sciences) academics from those involved in the development and running of ‘digital’ government services*. I recognise that the following is a bit of a caricature but the quick characterisation serves to assist the wider point I’m interested in exploring.

The fellow academics I follow (mostly in geography but from across the social sciences) have a relatively developed set of political and ethical arguments about the analysis (commercial & governmental–often blurred), big-ness,  collecting/gathering, transformation and so on of digital ‘data’, more often than not with reference to tropes around governance, labour, privacy and surveillance and ‘subjectivity’ (usually in the frame of how we are made individual subjects). So, ‘data’ in this set of debates may signal, for some, negative connotations of commercial or institutional ‘big brother’ and so on. There, of course, plenty of reasons to feel this way.

The digital government services folk, and some of the digital research services people (e.g. from JISC), that I follow often have more diverse and opaque (to me) views. A common foundation for many is the broadly liberal set of arguments for ‘open‘ networked services, somewhere between Stewart Brand’s libertarianism (in the vein of the arguments around “information wants to be free“) and the systematic optimistic liberalism of the W3C: “web for all, web on everything“. Some blog and tweet about the challenges of implementing that ethos and the various systems/techniques developed as a result within the auspices of government. Others write about what is and can be achieved by pursuing the ‘open’ agenda in government. More often that not, there is a positive and ‘progressive’ slant to the debate – developing a ‘common good’ (for want of a better phrase).

The debates do not crossover in my experience. They have their own  pet concepts and specialist terminology, with academics (like me) banging on about ‘dataveillance’, ‘discipline’ and ‘control’, governmentality, and, of course, ‘neoliberalism’; whereas the digital government folk I follow can talk about ‘digital’ and ‘open’ (as nouns), ‘agile‘ and ‘lean‘ (also sometimes nouns) practices. I am not saying any of this is representative, simply pointing out that the kinds of conversation are rather different. Neither of these groupings (as I characterise them) talk about or suggest policy in any detail, which is interesting. Social scientists studying ‘data’ (etc) often discuss methodological technique and diagnose what are perceived to be negative aspects of digital systems, whereas digital government folk are often highlighting progress being made in making ‘public’ data and associated services ‘open’ and more accessible. This may be an issue of ‘methods’. To be (perhaps overly) general – the social scientists I follow do particular kinds of, often, politically inflected research, whereas the digital government folk I follow are attempting to build politically neutral services. So, here, the academics are looking for expressions of power and politics, the digital government folk are attempting to minimise their effects.

We are left with what appears to be an unfortunate gap in a possibly fruitful conversation – there are constructive ways that academic researchers can offer insights into how opaque power structures can operate and, likewise, the digital government folk actually have experience of making complex digital systems for government. At present, in my Twitter stream I see (at best) mutual suspicion and often just totally separate conversations. There are moments though and some academics are clearly engaging albeit ‘critically’, e.g.

I recognise my partiality – that there are more than likely more in-depth conversations going on that I’m missing and I do think there’s some really positive work going on, for example as part of the Programmable City project – for example see the great talk by Sung-Yueh Perng below, that is attempting to look at what it means to build digital public services and the kinds of contributions social scientists (like me – there are lots of other kinds of course!) can make.

I welcome suggestions and comments about this, so please do get in touch.

Sung-Yueh Perng – Creating infrastructures with citizens: An exploration of Beta Projects, Dublin City Council from The Programmable City on Vimeo.

* I am not claiming that those I follow on Twitter and are pigeonholing with this category are representative in any way, this just works for this broad example.

A quantitative ideology? James Bridle on an algorithmic imaginary

The excellent artist James Bridle has written something for the New Humanist, which is published on their website, entitled “What’s wrong with big data?” Perhaps he’s been reading Rob Kitchin’s The Data Revolution? 🙂 Anyway, it sort of chimes with my previous post on data debates and with the sense in which the problems Bridle so incisively lays out for the readers of his article are not necessarily practical problems but rather are epistemological problems – they pertain to the ways in which we are asked to make sense of the world…

This belief in the power of data, of technology untrammelled by petty human worldviews, is the practical cousin of more metaphysical assertions. A belief in the unquestionability of data leads directly to a belief in the truth of data-derived assertions. And if data contains truth, then it will, without moral intervention, produce better outcomes. Speaking at Google’s private London Zeitgeist conference in 2013, Eric Schmidt, Google Chairman, asserted that “if they had had cellphones in Rwanda in 1994, the genocide would not have happened.” Schmidt’s claim was that technological visibility – the rendering of events and actions legible to everyone – would change the character of those actions. Not only is this statement historically inaccurate (there was plenty of evidence available of what was occurring during the genocide from UN officials, US satellite photographs and other sources), it’s also demonstrably untrue. Analysis of unrest in Kenya in 2007, when over 1,000 people were killed in ethnic conflicts, showed that mobile phones not only spread but accelerated the violence. But you don’t need to look to such extreme examples to see how a belief in technological determinism underlies much of our thinking and reasoning about the world.

…

Quantified thinking is the dominant ideology of contemporary life: not just in scientific and computational domains but in government policy, social relations and individual identity. It exists equally in qualified research and subconscious instinct, in the calculations of economic austerity and the determinacy of social media. It is the critical balance on which we have placed our ability to act in the world, while critically mistaking the basis for such actions. “More information” does not produce “more truth”, it endangers it.

You can read the whole article on the New Humanist website.

Video> Imagining automation – public talk

I gave a talk for the SW Futurists meet up group this week and they’ve recorded the talks. There are two speakers: Lucas Godfrey (Edinburgh) talked about the challenges of creating models of phenomena in the world so that you can automate things. I talked about the politics of the kinds of stories we tell about automation and how they orient our understandings of how automation might function. Both are included in the video but I’ve skipped to the start of my talk below.

Feel free to leave comments, ask questions etc. using the “Comments” function below… this presentation is sort of based on two bits of work about automation that have been developing as academic presentations. The first is about how we tell stories about work in relation to automation, and way we use ‘algorithm’ as a proxy for that idea. The second is about how we imagine what apparently automated/automatic technologies are doing and what they can do. I think both of these things constitute what I’ve come to call an “automative imaginary”… I started out calling this “algorithmic–“, but I don’t think that ‘s what I have ever really meant. I also don’t think, another fashionable term, “robots” is a particularly helpful way to frame the ideas I’m interested in. Anyway, I’m hoping to develop this into a journal article.

A dream of an algorithm – Agnieszka Zimolag

Photo by: Agnieszka Zimolag
Photo by: Agnieszka Zimolag

A compelling piece on the Institute of Network Cultures‘ “long forms” website by Agnieszka Zimolag entitled “A dream of an algorithm” explores “our” relation to “technology, or (to my mind) technics as the co-constitutional (and originary [not essential]) relation between what we call, in common sense terms, “the human” and”technology”.

Technology is my reflection. Just as if I never see myself unless I look in the mirror, the same goes for technology. Once I plug, once i turn on the devices, I look at my comforting reflection, I can finally become one with my own image. The perception of the self becomes a continuum, a reassurance of my own existence. Zimolag

It’s a beautiful essay and well worth reading/ looking at in full – the images are lovely and there’s some thoughtful prose reflecting upon this relation. I guess where I’d differ from Zimolag is her implied assertion that the technology, what it does/can do somehow comes after ‘the human’; that technology does something to “us” (humans) that alters us. I can see why, in the face of rapid technological change, we might figure things in this way. Nevertheless, I’m inclined to insist that there never was a “human” somehow separate from “technology”. We have an ‘aporetic origin’ in Derrida & Stiegler’s terms, we continually perform the coming to being of “the human”.

As I’ve observed elsewhere, the theory of technogenesis offered by a range of anthropologists and philosophers is the idea that humans and technology co-evolved together, that you do not get one without the other. Humans are irreducibly distinct because of the reflexive transmission of complex cultures made possible by technics and the ‘exteriorization’ of thought. Both Stiegler and Derrida argue that the mental interior is only recognized as such with the advent of the technical exterior: our conscious self-knowledge is only possible with the ability to exteriorize thought as a trace, commonly as language and gesture. Stiegler explains this aporia of origin as a paradox: ‘The paradox is to have to speak of an exteriorization without a preceding interior: the interior is constituted in exteriorisation’ (Stiegler, Technics and Time 1, p. 141).

Technics can be thought of as a technogenetic ‘double-bind’ between being both constitutive and a supplement of ‘the human’. The interior and exterior, and with them the contemporary understanding of the experience of being human and what we understand to be technology, are mutually co-constituted and continue to be so.

In opposing ‘technology’ and ‘the human’, the apparently immaterial ‘algorithm’ and apparently concrete human, we either oppose technically mediated experience to other forms of experience or we oppose our technical life to other, apparently ‘natural’, forms of exis- tence. Either way, we risk reasserting old, problematic binaries: human/technology and nature/society.

To bring this back to ‘algorithms’ and their devices, following Zimolag – they are not our ‘others’. these technologies discussed and depicted in Zimolag’s beautiful essay are materially of and with us, they are perhaps not so much the ‘reflection’ she asserts (above) but rather a mirror that we ourselves have crafted through which to look upon ourselves, but, precisely in doing so, the “we” is irrevocably altered to include the mirror. The knowledge born from coming to know our own images, in Zimolag’s metaphor, is irreducibly tied to technics.

A lack of politics in the geographies of code/software?

An interesting provocation for those who feel wedded to the ‘digital turn‘ from Mark Purcell on his blog… in particular:

the work, in general, seems to be quite aloof, or detached, or trying to stay above the fray, to remain non-committal, as though that were the more professional, academic stance to take.  All this detachment seems to have produced an upshot that is something like: “with all the new technologies coming into our lives in the past 10 years or so, it is important to think through their implications instead of just adopting them uncritically.”

Perhaps those that do “geography o[f] software/ information/ geodata” would like to respond..(?) For me, I think, there is simply a difference in focus between Purcell’s locating of politics and, for example – his colleague at Washington, Sarah Elwood’s in relation to “geodata” (e.g.), i.e. perhaps the difference between a politics of production as such and a politics of implementation.

Nevertheless, Purcell’s point about commons and peer production in open source software is valid – perhaps those involved in recent conference sessions on geographies of software have addressed these issues in some way? (I don’t know, I wasn’t there…)

Read Mark Purcell’s full blogpost on his blog.

“At play on the field of ghosts” – James Bridle on code/spaces of competitive sport

Reflecting upon the increasing instrumentation of the sporting field off play, for spectating, e.g. the ‘Hanwha chickens‘, and for the judgement of rules, e.g. ‘HawkEye’, James Bridle has written a nice piece on Medium about how the idea/ideal of ‘sport’ may be getting translated into something else…

This distinction between the actuality of the event and the fidelity of its recreation is narrow and could easily be dismissed as just another conjuration of spectacular TV coverage, were its remit limited to mere representation. But in the hyper-competitive domain of sports, lubricated with broadcasting and gambling dollars, recreation turns into prediction, and representation into judgement. The distinction between what is seen and what occurs becomes crucial.

More and more, the practice of human adjudication in sports is being crowded out by the supposed superiority of machine perception; a perception which is based on the recreation and prediction of real events, rather than their explicit witnessing. Since 2001, the Hawk-Eye computer system has become increasingly ubiquitous in major sporting competitions, combining machine vision with motion analysis to not only declare where precisely a ball touched or crossed a line, but where the ball would have gone if it were not rudely interrupted.

Behaviourism, productivity & the ‘quantified self’

metronome.gif

Steven Poole, in the New Statesman, on “How the craze for Apple Watches, Fitbits and other wearable tech devices revives the old and discredited science of behaviourism“:

Arguably, this authoritarian strand of behaviourist thinking is what morphed into the subtly reinforcing “choice architecture” of nudge politics, which seeks gently to compel citizens to do the right thing (eat healthy foods, sign up for pension plans) by altering the ways in which such alternatives are presented.

By contrast, the Apple Watch, the Pavlok and their ilk revive a behaviourism evacuated of all social concern and designed solely to optimise the individual customer. By ­using such devices, we voluntarily offer ourselves up to a denial of our voluntary selves, becoming atomised lab rats, to be manipulated electronically through the corporate cloud. It is perhaps no surprise that when the founder of American behaviourism, John B Watson, left academia in 1920, he went into a field that would come to profit very handsomely indeed from his skills of manipulation – advertising. Today’s neo-behaviourist technologies promise to usher in a world that is one giant Skinner Box in its own right: a world where thinking just gets in the way, and we all mechanically press levers for food pellets.

Echoes a common trope of theorising “subjectiv(is)ation” as a process (often labelled “neoliberal”, for good value) that gets done to a being/person… which gets entangled in an all-encompassing ‘labour theory of value’ but that’s a longer discussion…

CFP> “Countercultures of Data” – Special Issue of Philosophy & Technology

Another interesting CFP and goodness knows this needs doing(!) I look forward to seeing what comes of this, should be great!

CFP: “COUNTERCULTURES OF DATA” – SPECIAL ISSUE OF PHILOSOPHY & TECHNOLOGY

Call for Papers for Philosophy and Technology’s special issue on Countercultures of Data

Guest Editor – Anna Lauren Hoffmann, School of Information – University of California, Berkeley

Journal cover featuring white text on blue backgroundAbout the Issue
25 years ago, Sandra Harding–in her influential book Whose Science? Whose Knowledge? Thinking from Women’s Lives–detailed and extended critical debates surrounding knowledge production and practices in science and technology. Collectively, these “countercultures of science” confronted the “problematics, agendas, ethics, and consequences” of scientific and technological production head on. Today, these same perspectives offer insight into the realm of data science, as philosophers, scholars, and practitioners alike grapple with ethical questions in a world where discourse, design, and governance increasingly revolve around “big” data and quantifiable knowledge.

This special issue will bring together rigorous conceptual and theoretical perspectives on what might best be called–following Harding–emerging “countercultures of data.” In particular, this issue will further critical and philosophical thinking about the theories, methods, institutions, and technological arrangements that underwrite or support data science in various industries and forms. Combined, contributions to the special issue will put forward a more realistic assessment of possible futures for a data driven world.

We invite submissions related (but not limited) to:

– Race and Data Science
– Theories of Property, Labor, and Data
– Political Economies of Data
– Data and Imperialism
– Feminist Perspectives on Data Science
– Data, Bodies, and Disability
– Data, Infrastructure, and the Environment
– Data, Philosophy, and the Law
– Communities and Data
– Data and Queer Subjects
– Data and/as Human Subjects in Research
– Data Science and Epistemic Justice

Timetable for Submissions
October 24, 2016: Deadline for paper submissions
December 21, 2016: Deadline reviews papers
February 6, 2017: Deadline revised papers
2017: Publication of the special issue

Submission Details
To submit a paper for this special issue, authors should go to the journal’s Editorial Manager http://www.editorialmanager.com/phte/
The author (or a corresponding author for each submission in case of co- authored papers) must register into EM.

The author must then select the special article type: “COUNTERCULTURES OF DATA” from the selection provided in the submission process. This is needed in order to assign the submissions to the Guest Editor.

Submissions will then be assessed according to the following procedure:
New Submission => Journal Editorial Office => Guest Editor(s) => Reviewers => Reviewers’ Recommendations => Guest Editor(s)’ Recommendation => Editor-in-Chief’s Final Decision => Author Notification of the Decision. (The process will be reiterated in case of requests for revisions.)

About the Journal
The journal addresses the expanding scope and unprecedented impact of technologies, in order to improve the critical understanding of the conceptual nature and practical consequences, and hence provide the conceptual foundations for their fruitful and sustainable developments. The journal welcomes high-quality submissions, regardless of the tradition, school of thought or disciplinary background from which they derive. The journal’s Editor-in-Chief is Luciano Floridi (Oxford).

Contact
For any further information please contact: Anna Lauren Hoffmann – annalauren [at] berkeley [dot] edu