A response to a piece Ayona Datta wrote for the forthcoming Dialogues in Human Geography, which I am pleased to present to you on the occasion of the Urban Age Delhi conference on Governing Urban Futures.
«Dites donc, c’est pas Alphaville qui faut appeler votre patelin, c’est Zéroville!»
In her paper examining the Indian “smart city” development of Dholera, Ayona Datta furnishes us with a very welcome case study in just how elite actors mobilize the language and appearance of technological contemporaneity to achieve ends of displacement. Her analysis is straightforward and capably presented, and the most useful thing I can do in the space allotted to me for commentary is cosign, and hopefully amplify, certain of her conclusions.
Datta, as I understand her, has two fundamental aims here. The first is simply to establish that in the claims made on its behalf, in its disconnection from the history of the land, in its mendacity about its actual purpose, and in every other relevant register, the development site of Dholera is utterly exemplary of the smart city paradigm so many of us have inveighed against over the past half-decade or so. The second — to me, a more interesting and more enduringly valuable ambition — is to demonstrate that this existing line of critique is insufficient to understand the particular kind of work Dholera does in Indian politics.
What any such understanding would require is a kind of multipronged forensic analysis, and that is precisely what Datta provides. In the case of Dholera, an account of the actual site, its physical characteristics and existing demography are no less crucial to the development of insight than the provisions of the enabling legislation facilitating the new city and the highly interested language swirling around it. And without wanting to be overly actor-networky about things, this attention to detail — to the ways in which specific institutions, events, personalities, laws, and phrases mesh with one another to produce a state of affairs — is the most welcome aspect of the article at hand.
So what is Dholera?
We learn that it is a 903 km^2 development site in the Indian state of Gujarat, masterplanned by the UK engineering firm Halcrow, with some ten percent of its budget provided by the Indian national government and Japanese enterprises (specifically Hitachi, Mitsubishi, Toshiba, JGC and TEPCO), and the balance by unspecified but presumably domestic “private sector” entities.
We learn that — just like the canonical smart cities that came before it, among which the South Korean New Songdo and Abu Dhabi’s Masdar City remain the most widely known — Dholera is promised to be a place where embedded information-technological services and systems mediate every aspect of everyday urban life. Everything from personal mobility to access control and the functioning of the supply and removal chain is to be handled by IT vendors, “optimized” in the name of maximum efficiency. (That this model of urbanity bears no resemblance whatsoever to the way in which any Indian city current or historical functions doesn’t matter; indeed, as we’ll see, it’s an important part of the value proposition.)
And, like the canonical smart cities as well, we learn that Dholera is represented to the world by its backers as having been magicked into being from nothing, on what planners are pleased to call a “greenfield site.” But of course the terrain upon which this tomorrowland is to be built wasn’t precisely a bare Cartesian plane beforehand: parcels of land had to be acquired to make the project a reality, and the people living and working on those parcels dealt with somehow.
The particular history of this process of acquisition and displacement (and the local resistance to it) deserves sustained attention. In Datta’s telling, this smart city with Indian characteristics turns out to be a place where the impoverished people who currently occupy the site — subsistence farmers and fishers, mostly, with soil rendered barren by previous government misadventures in macroengineering, and a literacy rate that stands twenty full points lower than India’s average of 77% — have been convicted by more powerful forces of failing to fully capitalize on the value latent in their land, and sentenced to expulsion.
Here we see how a global body of rhetoric, promulgated primarily by all-but-placeless multinational enterprises, converges with powerful regional and class interests, squeezing the nation-state (and the better part of its citizenry) to a thin paste between them.
As Dholera functions within Gujarat, so does “investor-friendly” Gujarat function within India. Depicted by its own business-development initiative as “Vibrant Gujarat,” the state is home to both India’s Prime Minister Narendra Modi, and the philosophy of governance he pursued as the state’s Chief Minister between 2001 and 2012, a policy stance that has been described as “native-born neoliberalism.” For over a decade, the state has consciously positioned itself as a testbed for techniques and practices that are seen as efficacious in overwriting external perceptions of India as teeming, mired in grinding, endemic poverty, and riven by communal strife with an image more consonant with its ambitions and hopes. These techniques and practices amount to a “Gujarati model,” intended to realize “maximum governance with minimum government,” and a nation desperate to cut the fetters imposed by its legendary bureacratariat might well regard that model as a turnkey solution for its own economic problems. This was the broadly implicit — and at times, entirely explicit — message of the 2014 Modi campaign, and indeed the Gujarati model has become national policy since his election to the Prime Ministership.
In a pungent and fascinating passage, Datta traces the development of this discourse to Modi’s Asian peregrinations. Denied entry to the US, UK and EU for his role in fanning Gujarat’s vicious communal pogroms of 2002, Modi took to visiting China and Japan instead — and there, Datta argues, he encountered both a “Shanghai model” of top-down citymaking, readymade for transplantation into Gujarati soil, and a set of institutional partners prepared to foot the bill. The bitter irony is that identification with the program of crash urbanization that resulted is what lubricated Modi’s ongoing and evidently successful pivot from redhanded champion of the Hindu far right to polished global statesman — all of which suggests that well-intentioned British and American moves to marginalize the firebrand of 2002 may have resulted in the mother of all unintended consequences.
For reasons of investor confidence, if no other, it was important that whatever happened in Gujarat was seen to transpire under the rule of law. Ensuring the formal legitimation of whatever measures it deemed necessary in the development of Dholera, the State of Gujarat granted itself new powers of eminent domain, leaving the victims of dispossession quite literally no ground to stand on.
Here Datta embarks upon the sort of detailed explication that helps us understand how a single piece of legislation (specifically, Gujarat’s 2009 Special Investment Region Act) allowed the state to do an end run around provisions dating to 1894 that guaranteed small holders both due process and fair recompense for land forcibly acquired. Under SIR’s terms, the state simply had to designate land as “needed for public purpose,” while nothing compelled them to compensate those with existing tenure; and of course parcels assembled in this way could then be transferred to whatever “parastatal” or entirely private development partners the state found congenial.
But after all the farmers and fishermen have been chased from the land, the digital infrastructure laid down, and the golf club opened for business, what of day-to-day life in this environment? Here is where more of the detail that Datta lavishes on other aspects of her tale would be welcome; specifically, I would have appreciated a closer look at the social and spatial logic of this ostensibly smart place on Earth. But then Dholera, like Masdar and Songdo before it, may as yet (and forever will?) be too unrealized to permit this sort of interrogation. What we do know is that Dholera’s promise/premise of furnishing citizens with information allowing them to “manage their lives better” dovetails perfectly with the neoliberal fetish for the individualization of responsibility, and parallel deemphasis of collective or solidaristic action of any sort.
This, however, is only to scratch the surface of the questions we could ask of this project. If one were of a particularly sincere cast of mind, and thought that honest answers might actually be forthcoming, one might want to inquire as to why all of the following were so heedlessly conflated in Dholera’s conception:
— the perceived necessity of developing entirely new urbanized sites as a response to India’s social and economic transformation;
— the desirability of doing so using putatively “advanced,” i.e. imported, methodologies, practices and paradigms;
— the degree to which such models do or can speak to the needs and desires of the populations they are ostensibly intended to benefit;
— the suitability of informationtechnical systems and services as means to any ends articulated by these populations; and
— the identity of the institutions, organizations or actors best placed to achieve the conception and deployment of such systems.
But it may well be pointless to ask such things of Dholera’s promoters, or to subject their rhetoric to any particularly fine level of analysis. Like “eco,” “green,” and “sustainable,” it appears that “smart” is simply the latest in a series of terms used to wreathe development projects with a superficial gloss of contemporaneity. Indeed, despite the claims of advocates that it could only operate at peak efficiency when designed and purpose-
built from the ground up to accommodate information technology, Dholera wasn’t identified (by its developers, or anyone else) as a “smart city” until 2012, some three years after the project’s inception. This record suggests that, like any other sufficiently interested party, the actors responsible for developing Dholera are comfortable latching onto just about any old justificatory apparatus if it serves their shortterm needs — helping the project pass through the decision gate of an endorsement, authorizing vote or allocation of investment — and discard it without compunction once it has outlived its utility.
When someone lays out the evidence as clearly as Datta does here, one conclusion is unavoidable: the point was never, really, to engineer an all-seeing technological utopia. It was to dispossess the near-voiceless of their land and turn it to the ends of optimal revenue generation. At times, various actors involved in facilitating Dholera’s transformation from salinated flatland to smart city have been surprisingly forthright about their values and motivations. Datta quotes Amitabh Kant, CEO of a state-sponsored enterprise invested in the project, as mentioning that “the key challenge” to transforming India “will be to monetize land values.” Meanwhile, the Indian Intelligence Bureau justifies the surveillance it maintains on the lowercaste activists resisting the seizure of their land on the grounds of their involvement in “anti-
development activities.” The degree of cooptation of the apparatus of state on view here is truly impressive; not even in the US or the UK are the logics of accumulation by dispossession generally quite that close to the surface.
But why this particular confluence of ideas, why India, why now? We are often told, in the West, that India’s cities are now home to a growing middle class — crores of people liberated from the village and its strictures, flush with capital pumped into the economy by globalization’s outsourced engineering and back-office operations, and beginning to flex their consumerist muscles. Given the very real benisons of all this material comfort and choice, it may well be that those on the receiving end of it are not overly inclined to question where it all comes from.
One result of this is that perhaps nowhere else in the world has reified “IT” to the extent that India has. That I can tell, anyway, the acronym is universally understood at all levels of Indian society — and nearly as universally, is understood to be desirable for its connotations of efficiency, effortlessness, logic, cleanroom sterility and sheer modernity. It is a thing and a force both, something one applies to a circumstance to make it better. And to be a software engineer in this new economy is a noble thing, for in the end what else does so much of the new prosperity consist of but software?
In such a charged environment, the unremarkable trappings of postindustrial knowledge production acquire a curious valence in and of themselves. One can get some sense of what this looks like from Dholera’s promotional materials, which are dense with bombast and puffery of a distinctly Indian flavor: the state government’s act of having “appointed a consultant to develop the master plan of the project” and the involvement of “a global IT powerhouse” (transparently Cisco) are in themselves proffered — and perhaps even accepted by the intended audience — as guarantors of excellence.
I have no interest in judging an entire people’s aspirations, but the darker and more troubling aspects of all this are obvious. Among other things, the uncritical embrace of practices, arrangements and ways of doing things that originate in the developed world, and must therefore be “modern,” allows propositions that wouldn’t otherwise stand up to the slightest challenge to pass by without comment. Perhaps this explains why the State of Gujarat’s due diligence doesn’t seem to have extended to wondering why the masterplanner they entrusted with the development of a megacity destined to be twice the size of Mumbai — the UK-based engineering practice Halcrow — had no other successful urban planning engagements to its name, nor why its business fundamentals were evidently so weak that it had to be bailed out (and was eventually fully acquired) by the American concern C2HM HILL. Even mild skepticism regarding such matters would be powerfully salutary, particularly at a moment when the Modi government plans to plant one hundred such cities on the land.
This is why I’m glad to see Datta throw a little shade at relative optimists like Ashis Nandy, quoted here to the effect that whatever our reservations now, all will be well in the fullness of time, as India’s propensity to “corrupt” the bestlaid plans renders the alien imposition of the smart city “impure…but ultimately less malevolent.” This is charming, and undoubtedly contains an element of truth, but as Datta implies, it verges on irresponsible naivete given the power of certain imperial discourses to transform subjectivity.
And in the end, subjectivity — the realm of sentiment, hope, fear, pride and desire — is far more central to the whys and wherefores of Dholera than might appear to be the case. For a state that has solid historical justification for wanting to believe in the possibility of a new beginning, the notion of rebuilding from a truly clean slate must be all but irresistible. There are many, no doubt, for whom this insistence that the ghosts of 2002 be plowed under constitutes a virtue — indeed, a primary aspect of Dholera’s appeal. For millions of young Indians just now coming into their maturity, it’s easy to imagine how tempting it must be to treat historical events that happened in childhood as bygones that should remain bygones, and considerations of communal, religious or caste identity as baggage from the past that has no place in an India founded on gleaming clean-room technology. They may well be willing and more than willing to overlook the fiction of its origin myth, if Dholera’s promise of a new and glorious dawn can only be extended to Gujarat, to Narendra Modi, to India itself.
What remains clear is that others will pay the price for that wiping of the slate. Where master-planned High Modernist environments like Brasilia and Chandigarh at least paid lip service to the notion that issues of social justice could be addressed via the technics of the built environment, Dholera doesn’t even rise to that low standard. From the evidence at hand here, it seems certain that this smart city is destined to do little but inscribe further injustice and sorrow on the land. And for demonstrating just what the rhetoric of the smart city accomplishes on this particular terrain, at this particular moment in history, we have Ayona Datta to thank.
Consider the driverless car, as currently envisioned by Google.
That I can tell, anyway, most discussion of its prospects, whether breathlessly anticipatory or frankly horrendified, is content to weigh it more or less as given. But as I’m always harping on about, I just don’t believe we usefully understand any technology in the abstract, as it sits on a smoothly-paved pad in placid Mountain View. To garner even a first-pass appreciation for the contours of its eventual place in our lives, we have to consider what it would work like, and how people would experience it, in a specified actual context. And so here — as just such a first pass, at least — I try to imagine what would happen if autonomous vehicles like those demo’ed by Google were deployed as a service in the place I remain most familiar with, New York City.
The most likely near-term scenario is that such vehicles would be constructed as a fleet of automated taxicabs, not the more radical and frankly more interesting possibility that the service embracing them would be designed to afford truly public transit. The truth of the matter is that the arrival of the technological capability bound up in these vehicles begins to upend these standing categories…but the world can only accommodate so much novelty at once. The vehicle itself is only one component of an distributed actor-network dedicated to the accomplishment of mobility; when the autonomous vehicle begins to supplant the conventional taxi, that whole network has to restabilize around both the vehicle’s own capabilities and the ways in which those capabilities couple with other, existing actors.
In this case, that means actors like the Taxi and Limousine Commission. Enabling legislation, a body of suitable regulation, a controlling legal authority, the agreement on procedures for assessing liability to calibrate the furnishment of insurance: all of these things will need to be decided upon before any such thing as the automation of surface traffic in New York City can happen. And these provisions have a conservative effect. During the elapse of some arbitrary transitional period, anyway, they’ll tend to drag this theoretically disruptive actor back toward the categories we’re familiar with, the modes in which we’re used to the world working. That period may last months or it may last decades; there’s just no way of knowing ahead of time. But during this interregnum, we’ll approach the new thing through interfaces, metaphors and other linkages we’re already used to.
Automated taxis, as envisioned by designer Petr Kubik.
So. What can we reasonably assert of a driverless car on the Google model, when such a thing is deployed on the streets and known to its riders as a taxi?
On the plus side of the ledger:
- Black men would finally be able to hail a cab in New York City;
- So would people who use wheelchairs, folks carrying bulky packages, and others habitually and summarily bypassed by drivers;
- Sexual harassment of women riding alone would instantly cease to be an issue;
- You’d never have a driver slow as if to pick you up, roll down the window to inquire as to your destination, and only then decide it wasn’t somewhere they felt like taking you. (Yes, this is against the law, but any New Yorker will tell you it happens every damn day of the week);
- Similarly, if you happen to need a cab at 4:30, you’ll be able to catch one — getting stuck in the trenches of shift change would be a thing of the past;
- The eerily smooth ride of continuous algorithmic control will replace the lurching stop-and-go style endemic to the last few generations of NYC drivers, with everything that implies for both fuel efficiency and your ability to keep your lunch down.
These are all very good things, and they’d all be true no matter how banjaxed the service-design implementation turns out to be. (As, let’s face it, it would be: remember that we’re talking about Google here.) But as I’m fond of pointing out, none of these very good things can be had without cost. What does the flipside of the equation look like?
- Most obviously, a full-fleet replacement would immediately zero out some 50,000 jobs — mostly jobs held by immigrants, in an economy with few other decent prospects for their employment. Let’s be clear that these, while not great jobs (shitty hours, no benefits, physical discomfort, occasionally abusive customers), generate a net revenue that averages somewhere around $23/hour, and this at a time when the New York State minimum wage stands at $8/hour. These are jobs that tie families and entire communities together;
- The wholesale replacement of these drivers would eliminate one of the very few remaining contexts in which wealthy New Yorkers encounter recent immigrants and their culture at all;
- Though this is admittedly less of an issue in Manhattan, it does eliminate at least some opportunity for drivers to develop and demonstrate mastery and urban savoir faire;
- It would give Google, an advertising broker, unparalleled insight into the comings and goings of a relatively wealthy cohort of riders, and in general a dataset of enormous and irreplicable value;
- Finally, by displacing alternatives, and over the long term undermining the ecosystem of technical capabilities, human competences and other provisions that undergirds contemporary taxi service, the autonomous taxi would in time tend to bring into being and stabilize the conditions for its own perpetuation, to the exclusion of other ways of doing things that might ultimately be more productive. Of course, you could say precisely the same thing about contemporary taxis — that’s kind of the point I’m trying to make. But we should see these dynamics with clear eyes before jumping in, no?
I’m sure, quite sure, that there are weighting factors I’ve overlooked, perhaps even obvious and significant ones. This isn’t the whole story, or anything like it. There is one broadly observable trend I can’t help but noticing, however, in all the above: the benefits we stand to derive from deploying autonomous vehicles on our streets in this way are all felt in the near or even immediate term, while the costs all tend to be circumstances that only tell in the fullness of time. And we haven’t as a species historically tended to do very well with this pattern, the prime example being our experience of the automobile itself. It’s something to keep in mind.
There’s also something to be gleaned from Google’s decision to throw in their lot with Uber — an organization explicitly oriented toward the demands of the wealthy and boundlessly, even gleefully, corrosive of the public trust. And that is that you shouldn’t set your hopes on any mobility service Google builds on their autonomous-vehicle technology ever being positioned as the public accommodation or public utility it certainly could be. The decision to more tightly integrate Uber into their suite of wayfinding and journey-planning services makes it clear that for Google, the prerogative to maximize return on investment for a very few will always outweigh the interests of the communities in which they operate. And that, too, is something to keep in mind, anytime you hear someone touting all of the ways in which the clean, effortless autotaxi stands to resculpt the city.
UPDATE: Event confirmed for 14th March, 2014. See the final post.
For the past half-decade or so, in a phenomenon most everyone reading this site is no doubt already intimately acquainted with, data-derived artifacts (dynamic visualizations, digital maps, interactive representations of place-specific information, even static “infographics”) have taken increasing prominence in the visual imaginary of mass culture.
We see such images all the time now: broadly speaking, the visual rhetoric associated with them is the animating stuff of everything from car commercials to the weather forecast. The same rhetoric breathes life into election and sports coverage on television, the title sequences of movies, viral Facebook posts and the interactive features on newspaper sites.
Sometimes — in fact, often — these images are deployed as abstract tokens, empty fetishes of futurity, tech-ness, data-ness, evidence-basedness…ultimately, au-courantness. Just as often, and very problematically, they’re used to “prove” things.
But we’ve also begun to see the first inklings of ways in which such artifacts can be used more interestingly, to open up rather than shut down collective discussion around issues of great popular import — to ask its users to consider how and why the state of affairs represented by a given visualization got to be that way, whether that state of affairs is at all OK with them, and what if anything ought to be done to redress it. And this is whether the topic at hand happens to be land use, urban renewal and gentrification, informal housing, the differential consequences of public and privatized mass transit or expenditures in the criminal justice system.
Very few methods of advocacy can convey the consequences of our collective decisions as viscerally as a soundly-designed visualization. (Similarly, if there’s a better way of helping people imagine the spatial implications of alternative policy directions, strategies, investments and allocations, I haven’t stumbled onto it yet, although that certainly blurs the distinction between representing that which does exist and simulating that which does not.) What would happen if such visualizations were consciously and explicitly used as the ground text and point of departure for a moderated deliberative process? Could democracy be done this way? Could this be done at regular intervals? And how might doing so lead to better outcomes (or simply more buy-in) than existing procedures?
There’s plenty of rough precedent for such a notion, albeit scattered across a few different registers of activity:
- A few savvy journalists are starting to use data-based visualizations and maps as the starting point for their more traditional investigative efforts, and the narratives built on them. Visualizations, in this mode, essentially allow unexpected correlations and fact patterns to rise to the surface of awareness, and suggest what questions it might therefore be fruitful for a reporter to ask.
- SeeClickFix, of course, already allows citizens to levy demands on local government bodies, though it doesn’t provide for the organization of autonomous response to the conditions it documents, and it forthrightly positions the objects it represents as problems rather than matters of concern. More proactive and affirmative in its framing is Change By Us, which does emphasize voluntarism, though still with a sense of supplication to (elected or appointed) representatives in government. (The site answers the question “Who’s listening?” by promising that a “network of city leaders is ready to hear your ideas and provide guidance for your projects.”) In any event, both SeeClickFix and Change By Us focus on highly granular, literally pothole- or at most community-garden-scale issues.
- Storefront Democracy, a student project of Kristin Gräfe and (ex-Urbanscaler) Jeff Kirsch, reimagined the front window of a city councillor’s district office as a site where community sentiment on various questions, expressed as votes, could be visualized. Voting is not quite the same thing as democracy, much less deliberation, but the project began to explore ways in which situated representations might be used to catalyze conversations about matters facing the community.
- There are even full-blown technological platforms that promise to enable robust networked democracy, though for all the technology involved this one at least seems to blow right by the potential of visualized states of affairs to serve as focal points for managed dissensus.
Draw out all of those threads, and what do you wind up with? I’m not at all sure, but the question is certainly provocative enough that I want to explore its implications in further depth and detail. Again, I’m interested in digital cartography and interactive representations of data used as the starting point, rather than the product and culmination, of a decision process. My intention is to disturb these things as settled facts, disinter them from the loam of zeitgeisty but near-meaningless infoporn that furnishes more than one glossy coffee-table book, and activate them instead as situated social objects. I think by now it’s clear that data-driven projects like Digital Matatus can furnish people with practical tools to manage the way things are in the city. But can they usefully catalyze conversation about the way things could (or should) be? And can we somehow bundle information about provenance into every representation of data, allowing users to ask how it was gathered, by whom, using what means and for what notional purpose, so they can arrive at their own determinations of its reliability and relevance? All of that remains to be seen.
If you find yourself nodding at any of this — or, indeed, you think it’s all deeply misguided, but nevertheless worth contesting in person — consider this a heads-up that I’ll be convening a one-day seminar on this and related topics at LSE in mid-March, and am looking for qualified speakers beyond my personal orbit and existing friendship circles. If you’re interested in either attending or speaking, please do email me at your earliest convenience at my first initial dot my last name at lse.ac.uk. Limited travel support is available – I have an event budget that allows me to fly in two to three speakers and put you up in Central London for a night, so if you or someone you know is inclined to present I definitely encourage you to get in touch. And let’s see if together we can’t figure out if there’s a thing here or not.
Now that we’re finally slouching toward Amazon to be born — i.e. I’m confident that the Kindle edition, at least, will ship within the next ten days — I’m happy to be able to share this final bibliography for “Against the smart city.” I hope, as ever, you find it useful.
Alcatel-Lucent Corporation. “Getting Smart About Smart Cities: Understanding the Market Opportunity in the Cities of Tomorrow,” February 2012.
Alexander, Steve. “IBM wants Minneapolis to become a ‘smarter city,’” Minneapolis Star Tribune, 6 June 2011.
Allease, Eve. “Abu Dhabi, United Arab Emirates: Future Green City Now,” Urban Times, 22 May 2011.
Allianz Open Knowledge Initiative. “Masdar City: a desert utopia,” 30 March 2009.
Alusi, Annissa, Robert G. Eccles, Amy C. Edmondson and Tiona Zuzul. “Sustainable Cities: Oxymoron or the Shape of the Future?,” Harvard Business School Working Paper 11-062, 20 March 2011.
Amnesty International. “Amnesty International Report 2008: Americas Regional Update. Selected events covering the period from January to April 2008,” 28 May 2008.
— “‘We have come to take your souls’: the caveirão and policing in Rio de Janeiro,” 13 March 2006.
Android Open Source Project. “Licenses.”
Beer, Stafford. Platform for Change: A Message from Stafford Beer. Wiley, New York, 1975.
Bell, Genevieve and Paul Dourish. “Yesterday’s Tomorrows: Notes on Ubiquitous Computing’s Dominant Vision,” Personal and Ubiquitous Computing Volume 11 Issue 2, January 2007.
Bettencourt, Luís M.A., et al. “Growth, innovation, scaling, and the pace of life in cities,” Proceedings of the National Academy of Sciences, Volume 104 Number 17, 24 April 2007.
Biddle, Sam. “Racial Profiling: Newest Trend in Silicon Valley?,” Valleywag, 7 August 2013.
Black, Edwin. IBM and the Holocaust: The Strategic Alliance between Nazi Germany and America’s Most Powerful Corporation, Random House, New York, 2001.
Boudreau, John. “Cisco helps build prototype for instant cities,” San Jose Mercury News, 01 June 2010.
Brand, Stewart. How Buildings Learn, Viking Press, New York, 1994.
Brewster, Kent. “Profiling Atherton,” July 2013.
Buro Happold. “Projects: PlanIT Valley.”
Carlisle, Tamsin. “Masdar City clips another $2.5bn from price tag,” The National, 1 December 2010.
Chalmers, Matthew and Ian MacColl. “Seamful and Seamless Design in Ubiquitous Computing,” Technical Report Equator-03-005, 2004.
Chen, David W. “Survey Raises Questions on Data-Driven Policy,” The New York Times, 8 February 2010.
Chomsky, Noam. “The Case Against B.F. Skinner,” New York Review of Books, 30 December 1971.
Cisco Systems. “Cisco and Lake Nona Unite to Create First U.S. Iconic Smart+Connected Community in Orlando, Florida,” 24 October 2012.
— “Cisco Contributes to Open Source.”
— “Cities of the Future: Songdo, South Korea,” 2012.
— “Cities of the Future: Songdo, South Korea – Living,” 2012.
— “Cities of the Future: Songdo, South Korea – Roadmap for a New Community,” 2012.
— “Smart City Framework: A Systematic Process for Enabling Smart+Connected Communities,” September 2012.
— “Smart+Connected Communities.”
City Mayors Foundation. “Largest cities in the world ranked by population density,” 2007.
City Protocol Society. “City Protocol.”
Cohen, Boyd. “Singapore Is On Its Way To Becoming An Iconic Smart City,” Fast Company co.Exist, 14 May 2012.
Le Corbusier. The Athens Charter, Grossman Publishers, New York, 1973.
— La Ville Radieuse. Editions Vincent, Freal & Co., Paris, 1935.
Cotton, Brian (“Ph.D.”!) for Frost & Sullivan. “Intelligent Urban Transportation: Predicting, Managing, and Integrating Traffic Operations in Smarter Cities.
CSIR-Central Road Research Institute. “Evaluating Bus Rapid Transit (BRT) Corridor Performance from Amebedkar Nagar to Mool Chand Intersection,” 13 February 2013.
Davis, Mike and Daniel Bertrand Monk. Evil Paradises: Dreamworlds of Neoliberalism, The New Press, New York, 2008.
De la Peña, Benjamin. “Embracing the Autocatalytic City,” The Atlantic Cities, 11 March 2013.
Deleuze, Gilles. Cinema 1: The Movement-Image, Athlone Press, London, 1986.
Dourish, Paul. Where the Action Is: The Foundations of Embodied Interaction, The MIT Press, Cambridge MA, 2004.
The Economist. “Masdar plan,” Technology Quarterly, 4 December 2008.
Economist Intelligence Unit for Siemens AG. “Managing the city as a ‘living organism,’” Asian Green City Index, 2011.
Emirates Center for Human Rights. “Migrant workers in the United Arab Emirates,” July 2012.
English, Bella. “He’ll Build This City,” Boston Globe, 13 December 2004.
Executive Affairs Authority, Emirate of Abu Dhabi. “Law No. 22: Establishment of Abu Dhabi Future Energy Company and Masdar Institute of Science and Technology,” 2007.
EXP, Research Centre for Experimental Practice at the University of Westminster. “Archigram Archival Project.”
Feuer, Alan. “Occupy Sandy: A Movement Moves to Relief,” The New York Times, 9 November 2012.
Flood, Joe. The Fires: How a Computer Formula Burned Down New York City — And Determined the Future of American Cities. Riverhead Books, New York, 2010.
Forrester, Jay. Urban Dynamics, The MIT Press, Cambridge MA, 1969.
Frayssinet, Fabiana. “Forced Eviction from Rio’s Slums Echoes Dark Past,” Tierramerica, 10 May 2010.
Galbraith, Jay R. “Matrix organization designs: How to combine functional and project forms,” Business Horizons Volume 14 Issue 1, 1971.
Gartner, Inc. “Is ‘Smart Cities’ The Next Big Market?,” 2010.
Gehl, Jan. Life Between Buildings: Using Public Space, trans. Jo Koch, Van Nostrand Reinhold, New York, 1987.
Gibson, William. Neuromancer, Ace Books, New York, 1984.
Green, Jeremy for OVUM. “Digital Urban Renewal,” April 2011.
Greenfield, Adam. “Preliminary Notes to a Diagram of Occupy Sandy,” Speedbird, 21 November 2012.
— Everyware: The dawning age of ubiquitous computing, New Riders, Berkeley, 2006.
Gunther, Marc. “A Photo Tour of Masdar City,” Greenbiz.com, 21 January 2011.
Hatch, David. “Singapore Strives to Become ‘The Smartest City,’” Governing, February 2013.
Hedlund, Jan for Microsoft Corporation. “Smart City 2020: Technology and Society in the Modern City,” March 2011.
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— “Telecommunication Systems for Realizing a Smart City,” 2012.
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The following is section 4 of “Against the smart city,” the first part of The City Is Here For You To Use. Our Do projects will be publishing “Against the smart city” in stand-alone POD pamphlet and Kindle editions later on this month.
4 | The smart city pretends to an objectivity, a unity and a perfect knowledge that are nowhere achievable, even in principle.
Of the major technology vendors working in the field, Siemens makes the strongest and most explicit statement of the philosophical underpinnings on which their (and indeed the entire) smart-city enterprise is founded: “Several decades from now cities will have countless autonomous, intelligently functioning IT systems that will have perfect knowledge of users’ habits and energy consumption, and provide optimum service…The goal of such a city is to optimally regulate and control resources by means of autonomous IT systems.”
We’ve already considered what kind of ideological work is being done when efforts like these are positioned as taking place in some proximate future. The claim of perfect competence Siemens makes for its autonomous IT systems, though, is by far the more important part of the passage. It reflects a clear philosophical position, and while this position is more forthrightly articulated here than it is anywhere else in the smart-city literature, it is without question latent in the work of IBM, Cisco and their peers. Given its foundational importance to the smart-city value proposition, I believe it’s worth unpacking in some detail.
What we encounter in this statement is an unreconstructed logical positivism, which, among other things, implicitly holds that the world is in principle perfectly knowable, its contents enumerable, and their relations capable of being meaningfully encoded in the state of a technical system, without bias or distortion. As applied to the affairs of cities, it is effectively an argument there is one and only one universal and transcendently correct solution to each identified individual or collective human need; that this solution can be arrived at algorithmically, via the operations of a technical system furnished with the proper inputs; and that this solution is something which can be encoded in public policy, again without distortion. (Left unstated, but strongly implicit, is the presumption that whatever policies are arrived at in this way will be applied transparently, dispassionately and in a manner free from politics.)
Every single aspect of this argument is problematic.
— Perfectly knowable, without bias or distortion: Collectively, we’ve known since Heisenberg that to observe the behavior of a system is to intervene in it. Even in principle, there is no way to stand outside a system and take a snapshot of it as it existed at time T.
But it’s not as if any of us enjoy the luxury of living in principle. We act in historical space and time, as do the technological systems we devise and enlist as our surrogates and extensions. So when Siemens talks about a city’s autonomous systems acting on “perfect knowledge” of residents’ habits and behaviors, what they are suggesting in the first place is that everything those residents ever do — whether in public, or in spaces and settings formerly thought of as private — can be sensed accurately, raised to the network without loss, and submitted to the consideration of some system capable of interpreting it appropriately. And furthermore, that all of these efforts can somehow, by means unspecified, avoid being skewed by the entropy, error and contingency that mark everything else that transpires inside history.
Some skepticism regarding this scenario would certainly be understandable. It’s hard to see how Siemens, or anybody else, could avoid the slippage that’s bound to occur at every step of this process, even under the most favorable circumstances imaginable.
However thoroughly Siemens may deploy their sensors, to start with, they’ll only ever capture the qualities about the world that are amenable to capture, measure only those quantities that can be measured. Let’s stipulate, for the moment, that these sensing mechanisms somehow operate flawlessly, and in perpetuity. What if information crucial to the formulation of sound civic policy is somehow absent from their soundings, resides in the space between them, or is derived from the interaction between whatever quality of the world we set out to measure and our corporeal experience of it?
Other distortions may creep into the quantification of urban processes. Actors whose performance is subject to measurement may consciously adapt their behavior to produce metrics favorable to them in one way or another. For example, a police officer under pressure to “make quota” may issue citations for infractions she would ordinarily overlook; conversely, her precinct commander, squeezed by City Hall to present the city as an ever-safer haven for investment, may downwardly classify felony assault as a simple misdemeanor. This is the phenomenon known to viewers of The Wire as “juking the stats,” and it’s particularly likely to happen when financial or other incentives are contingent on achieving some nominal performance threshold. Nor is it the only factor likely to skew the act of data collection; long, sad experience suggests that the usual array of all-too-human pressures will continue to condition any such effort. (Consider the recent case in which Seoul Metro operators were charged with using CCTV cameras to surreptitiously ogle women passengers, rather than scan platforms and cars for criminal activity as intended.)
What about those human behaviors, and they are many, that we may for whatever reason wish to hide, dissemble, disguise, or otherwise prevent being disclosed to the surveillant systems all around us? “Perfect knowledge,” by definition, implies either that no such attempts at obfuscation will be made, or that any and all such attempts will remain fruitless. Neither one of these circumstances sounds very much like any city I’m familiar with, or, for that matter, would want to be.
And what about the question of interpretation? The Siemens scenario amounts to a bizarre compound assertion that each of our acts has a single salient meaning, which is always and invariably straightforwardly self-evident — in fact, so much so that this meaning can be recognized, made sense of and acted upon remotely, by a machinic system, without any possibility of mistaken appraisal.
The most prominent advocates of this approach appear to believe that the contingency of data capture is not an issue, nor is any particular act of interpretation involved in making use of whatever data is retrieved from the world in this way. When discussing their own smart-city venture, senior IBM executives argue, in so many words, that “the data is the data”: transcendent, limpid and uncompromised by human frailty. This mystification of “the data” goes unremarked upon and unchallenged not merely in IBM’s material, but in the overwhelming majority of discussions of the smart city. But different values for air pollution in a given location can be produced by varying the height at which a sensor is mounted by a few meters. Perceptions of risk in a neighborhood can be transformed by altering the taxonomy used to classify reported crimes ever so slightly. And anyone who’s ever worked in opinion polling knows how sensitive the results are to the precise wording of a survey. The fact is that the data is never “just” the data, and to assert otherwise is to lend inherently political and interested decisions regarding the act of data collection an unwonted gloss of neutrality and dispassionate scientific objectivity.
The bold claim of perfect knowledge appears incompatible with the messy reality of all known information-processing systems, the human individuals and institutions that make use of them and, more broadly, with the world as we experience it. In fact, it’s astonishing that anyone would ever be so unwary as to claim perfection on behalf of any computational system, no matter how powerful.
— One and only one solution: With their inherent, definitional diversity, layeredness and complexity, we can usefully think of cities as tragic. As individuals and communities, the people who live in them hold to multiple competing and equally valid conceptions of the good, and it’s impossible to fully satisfy all of them at the same time. A wavefront of gentrification can open up exciting new opportunities for young homesteaders, small retailers and craft producers, but tends to displace the very people who’d given a neighborhood its character and identity. An increased police presence on the streets of a district reassures some residents, but makes others uneasy, and puts yet others at definable risk. Even something as seemingly straightforward and honorable as an anticorruption initiative can undo a fabric of relations that offered the otherwise voiceless at least some access to local power. We should know by now that there are and can be no Pareto-optimal solutions for any system as complex as a city.
— Arrived at algorithmically: Assume, for the sake of argument, that there could be such a solution, a master formula capable of resolving all resource-allocation conflicts and balancing the needs of all a city’s competing constituencies. It certainly would be convenient if this golden mean could be determined automatically and consistently, via the application of a set procedure — in a word, algorithmically.
In urban planning, the idea that certain kinds of challenges are susceptible to algorithmic resolution has a long pedigree. It’s already present in the Corbusian doctrine that the ideal and correct ratio of spatial provisioning in a city can be calculated from nothing more than an enumeration of the population, it underpins the complex composite indices of Jay Forrester’s 1969 Urban Dynamics, and it lay at the heart of the RAND Corporation’s (eventually disastrous) intervention in the management of 1970s New York City. No doubt part of the idea’s appeal to smart-city advocates, too, is the familial resemblance such an algorithm would bear to the formulae by which commercial real-estate developers calculate air rights, the land area that must be reserved for parking in a community of a given size, and so on.
In the right context, at the appropriate scale, such tools are surely useful. But the wholesale surrender of municipal management to an algorithmic toolset — for that is surely what is implied by the word “autonomous” — would seem to repose an undue amount of trust in the party responsible for authoring the algorithm. At least, if the formulae at the heart of the Siemens scenario turn out to be anything at all like the ones used in the current generation of computational models, critical, life-altering decisions will hinge on the interaction of poorly-defined and surprisingly subjective values: a “quality of life” metric, a vague category of “supercreative” occupations, or other idiosyncrasies along these lines. The output generated by such a procedure may turn on half-clever abstractions, in which a complex circumstance resistant to direct measurement is represented by the manipulation of some more easily-determined proxy value: average walking speed stands in for the more inchoate “pace” of urban life, while the number of patent applications constitutes an index of “innovation.”
Even beyond whatever doubts we may harbor as to the ability of algorithms constructed in this way to capture urban dynamics with any sensitivity, the element of the arbitrary we see here should give us pause. Given the significant scope for discretion in defining the variables on which any such thing is founded, we need to understand that the authorship of an algorithm intended to guide the distribution of civic resources is itself an inherently political act. And at least as things stand today, neither in the Siemens material nor anywhere else in the smart-city literature is there any suggestion that either algorithms or their designers would be subject to the ordinary processes of democratic accountability.
— Encoded in public policy, and applied transparently, dispassionately and in a manner free from politics: A review of the relevant history suggests that policy recommendations derived from computational models are only rarely applied to questions as politically sensitive as resource allocation without some intermediate tuning taking place. Inconvenient results may be suppressed, arbitrarily overridden by more heavily-weighted decision factors, or simply ignored.
The best-documented example of this tendency remains the work of the New York City-RAND Institute, explicitly chartered to implant in the governance of New York City “the kind of streamlined, modern management that Robert McNamara applied in the Pentagon with such success” during his tenure as Secretary of Defense (1961-1968). The statistics-driven approach that McNamara’s Whiz Kids had so famously brought to the prosecution of the war in Vietnam, variously thought of as “systems analysis” or “operations research,” was first applied to New York in a series of studies conducted between 1973 and 1975, in which RAND used FDNY incident response-time data to determine the optimal distribution of fire stations.
Methodological flaws undermined the effort from the outset. RAND, for simplicity’s sake, chose to use the time a company arrived at the scene of a fire as the basis of their model, rather than the time at which that company actually began fighting the fire; somewhat unbelievably, for anyone with the slightest familiarity with New York City, RAND’s analysts then compounded their error by refusing to acknowledge traffic as a factor in response time. Again, we see some easily-measured value used as a proxy for a reality that is harder to quantify, and again we see the distortion of ostensibly neutral results by the choices made by an algorithm’s designers. But the more enduring lesson for proponents of data-driven policy has to do with how the study’s results were applied. Despite the mantle of coolly “objective” scientism that systems analysis preferred to wrap itself in, RAND’s final recommendations bowed to factionalism within the Fire Department, as well as the departmental leadership’s need to placate critical external constituencies; the exercise, in other words, turned out to be nothing if not political.
The consequences of RAND’s intervention were catastrophic. Following their recommendations, fire battalions in some of the most vulnerable sections of the city were decommissioned, while the department opened other stations in low-density, low-threat areas; the spatial distribution of firefighting assets remaining actually prevented resources from being applied where they were most critically needed. Great swaths of the city’s poorest neighborhoods burned to the ground as a direct result — most memorably the South Bronx, but immense tracts of Manhattan and Brooklyn as well. Hundreds of thousands of residents were displaced, many permanently, and the unforgettable images that emerged fueled perceptions of the city’s nigh-apocalyptic unmanageability that impeded its prospects well into the 1980s. Might a less-biased model, or a less politically-skewed application of the extant findings, have produced a more favorable outcome? This obviously remains unknowable…but the human and economic calamity that actually did transpire is a matter of public record.
Examples like this counsel us to be wary of claims that any autonomous system will ever be entrusted with the regulation and control of civic resources — just as we ought to be wary of claims that the application of some single master algorithm could result in an Pareto-efficient distribution of resources, or that the complex urban ecology might be sufficiently characterized in data to permit the effective operation of such an algorithm in the first place. For all of the conceptual flaws we’ve identified in the Siemens proposition, though, it’s the word “goal” that just leaps off the page. In all my thinking about cities, it has frankly never occurred to me to assert that cities have goals. (What is Cleveland’s goal? Karachi’s?) What is being suggested here strikes me as a rather profound misunderstanding of what a city is. Hierarchical organizations can be said to have goals, certainly, but not anything as heterogeneous in composition as a city, and most especially not a city in anything resembling a democratic society.
By failing to account for the situation of technological devices inside historical space and time, the diversity and complexity of the urban ecology, the reality of politics or, most puzzlingly of all, the “normal accidents” all complex systems are subject to, Siemens’ vision of cities perfectly regulated by autonomous smart systems thoroughly disqualifies itself. But it’s in this depiction of a city as an entity with unitary goals that it comes closest to self-parody.
If it seems like breaking a butterfly on a wheel to subject marketing copy to this kind of dissection, I am merely taking Siemens and the other advocates of the smart city at their word, and this is what they (claim to) really believe. When pushed on the question, of course, some individuals working for enterprises at the heart of the smart-city discourse admit that what their employers actually propose to do is distinctly more modest: they simply mean to deploy sensors on municipal infrastructure, and adjust lighting levels, headway or flow rates to accommodate real-time need. If this is the case, perhaps they ought to have a word with their copywriters, who do the endeavor no favors by indulging in the imperial overreach of their rhetoric. As matters now stand, the claim of perfect competence that is implicit in most smart-city promotional language — and thoroughly explicit in the Siemens material — is incommensurate with everything we know about the way technical systems work, as well as the world they work in. The municipal governments that constitute the primary intended audience for materials like these can only be advised, therefore, to approach all such claims with the greatest caution.
 For example, in New York City, an anonymous survey of “hundreds of retired high-ranking [NYPD] officials” found that “tremendous pressure to reduce crime, year after year, prompted some supervisors and precinct commanders to distort crime statistics” they submitted to the centralized COMPSTAT system. Chen, David W., “Survey Raises Questions on Data-Driven Policy,” The New York Times, 08 February 2010.
 Simon, David, Kia Corthron, Ed Burns and Chris Collins, The Wire, Season 4, Episode 9: “Know Your Place,” first aired 12 November 2006.
 Fletcher, Jim, IBM Distinguished Engineer, and Guruduth Banavar, Vice President and Chief Technology Officer for Global Public Sector, personal communication, 08 June 2011.
 Migurski, Michal. “Visualizing Urban Data,” in Segaran, Toby and Jeff Hammerbacher, Beautiful Data: The Stories Behind Elegant Data Solutions, O’Reilly Media, Sebastopol CA, 2012: pp. 167-182. See also Migurski, Michal. “Oakland Crime Maps X,” tecznotes, 03 March 2008.
 See, as well, Sen’s dissection of the inherent conflict between even mildly liberal values and Pareto optimality. Sen, Amartya Kumar. “The impossibility of a Paretian liberal.” Journal of Political Economy Volume 78 Number 1, Jan-Feb 1970.
 Forrester, Jay. Urban Dynamics, The MIT Press, Cambridge, MA, 1969.
 See Flood, Joe. The Fires: How a Computer Formula Burned Down New York City — And Determined The Future Of American Cities, Riverhead Books, New York, 2010.
 See, e.g. Bettencourt, Luís M.A. et al. “Growth, innovation, scaling, and the pace of life in cities,” Proceedings of the National Academy of Sciences, Volume 104 Number 17, 24 April 2007, pp. 7301-7306.
 Flood, ibid., Chapter Six.
 Rider, Kenneth L. “A Parametric Model for the Allocation of Fire Companies,” New York City-RAND Institute report R-1615-NYC/HUD, April 1975; Kolesar, Peter. “A Model for Predicting Average Fire Company Travel Times,” New York City-RAND Institute report R-1624-NYC, June 1975.
 Perrow, Charles. Normal Accidents: Living with High-Risk Technologies, Basic Books, New York, 1984.
Over the weekend I finally got a chance to sit down with Theodore Spyropoulos‘s new book Adaptive Ecologies, which I’ve been looking forward to for a bit now. (Thanks, Steph!) Spyropolous is an instructor at London’s Architectural Association and director of the school’s Design Research Laboratory, and Adaptive Ecologies is his and his students’ attempt to push arguments about the computational generation of form a little further downfield.
The book’s subtitle says it all, sorta: “Correlated systems of living.” Broadly, the argument being made here is that new technologies allow us to fuse architecture’s formal qualities with its functional or performative ones. We can imagine the world populated with entirely new kinds of structures: each an active, adaptive mesh capable of responding to conditions of use, and expressing this response through its macroscopic physical manifestation, at every scale from unit (house) to cluster (building) to collective (megastructure or masterplan). What Spyropolous and his student-collaborators are trying to develop are the strategies or vocabularies one would use to devise structures like this.
Another way of putting things is to say that they’re attempting to link or join the two primary modes in which computation currently informs architecture. On one hand, we have the procedural, iterative, processor-intensive design techniques that have been in vogue for the past decade or so; on the other, we have the potential we’ve discussed so often here, that of networked informatics to endow structures and environments with the ability to sense and respond to varying conditions of occupancy, load or use. Adaptive Ecologies binds these threads together, and what results is a potent intellectual figure: smart city as architecture machine.
This is an intriguing argument, to say the least, and its evocation of urban space as a vast, active, living information system resonates profoundly with certain of my own concerns. Further, Spyropoulos admirably attempts to situate this work in its proper context, adducing a secret history in which his students’ towering blebs and polypy complexes recognizably descend from a lineage of minor heroes that includes Bucky Fuller, Archigram and the Japanese Metabolists, Gordon Pask and Cedric Price.
All of the usual tropes are present in Adaptive Ecologies: DLA and its manifestation in coral and Hele-Shaw cells; genetic algorithms, agent-based models and cellular automata; stigmergy and swarming logics; siphonophores and mangroves; even Frei Otto’s experiments with the self-organizing potential of wet thread.
But troublingly, these organic processes are used to generate designs that are not shown to be “adaptive” at all — at least not in the materials reproduced here. My primary beef with the book turns out to be the same I hold against the contemporary school of parametricists (which runs the entire gamut of seriousness, interest and credibility, from Zaha Hadid herself and her in-house ideologist Patrik Schumacher straight through to charlatans like Mitchell Joachim): that it fetishizes not merely form but the process of structuration. Or really, that it fetishizes the process of structuration to the detriment of usable form.
To make a fetish of these generative processes is to misunderstand their meaning, or to think that they are not already operating in our built environments. I promise you these algorithms of self-organization are always already there in the city — in the distribution of activities, in the dynamics of flow, in every last thing but the optical shape. The beehive’s form is epiphenomenal of its organizing logic, and so is the city’s. To reify such an organizing logic in the shape of a building strikes me as stumbling into a category error. Worse: as magical thinking, as though we’d made the rhizome an emblem of state to be carved in the façades of our buildings, where once we might have inscribed sheaves of wheat or birds of prey.
Consider the contribution of usual-suspect Makoto Sei Watanabe. Watanabe is an architect who believes that architecture must replace unreliable designerly inspiration with a Science valid in all times and places, and I’ve beaten up on him before. He’s represented here by a series of sculptures collectively called WEB FRAME, one version of which adorns the Iidabashi station of Tokyo’s Oedo subway line.
As is usual with Watanabe, he invokes “neural network[s], genetic algorithms and artificial intelligence” to explain the particular disposition of elements you can see in Iidabashi station. But WEB FRAME is best understood as an ornamental appliqué. It’s nicer to look at than a bare ceiling, arguably, but that’s all it is. Despite its creator’s rhetoric, its form at any given moment bears no relationship whatsoever to the flow of passengers through the subway system, the performative capacities of the station itself, or any potential regulation of either. It’s the outer sign of something, entirely detached from its substance. It adapts to nothing. It is, in a word, static.
Although it may be a particularly weak example, Watanabe’s work is marred by the same problems that afflict the more interesting work elsewhere in the volume:
- Not one of the projects illustrated uses parameters derived from real-time soundings to generate its form, even notionally. For some projects, the parameters used in an iterative design process appear to have been chosen specifically for the formal properties that result from their selection; for others, the seed values occupy an extremely wide range, producing a family of related design solutions rather than a single iconic form.
There’s nothing wrong, necessarily, with either approach. But unless I’m missing something really basic, the whole point of this exercise is to devise structures whose properties change over relatively short spans of time (minutes to months) in response to changing conditions. In turn, that would seem to imply some way of coupling the parameters driving the structures’ form to one or another value extracted from their local environment. And while all of the student work featured in the book draws on the beguilingly stochastic processes of structuration I enumerated above, only one of them claims to have used data gathered in this way as its input or seed state.
This is Team Shampoo‘s exploration of “hair-optimi[z]ed detour networks,” and it’s both wildly problematic in its own right and emblematic of the worrisome tendencies that run throughout the volume. Shampoo’s design for a tower complex uses autonomous computational agents to simulate morning and evening pedestrian flows through a district, and in turn uses these to derive “optimal” linkages and points of attachment for circulation structures hardwired into the urban fabric itself. The results are certainly striking enough, but they are precisely optimized: that is, narrowly perfected for one use case, and one use case only.
Of course, we know that conditions of pedestrian flow change over the course of the week, over the seasons of the year, with economic cycles and the particular disposition of services and amenities reflected in the city. A conventional street grid, especially one with short blocks, is already more adaptive to changes in these circumstances than any lattice of walk-tubes in the sky, because it allows people to choose from a far wider variety of alternative paths from origin to destination. In designs like Shampoo’s, we’re still making the same blunder Jane Jacobs accused the High Modernists of making: mistaking the appearance of something for its reality.
And if the point of all this applied parametricism is to permit each building or cluster of buildings to take on the form appropriate to the exigencies of the moment, that I can tell, only a single one of the projects featured appears in states responding to multiple boundary conditions. This is Team CXN-Reaction’s Swarm effort, which proposes housing units that collapse flat when not occupied, stacked in a snaky concertina reaching to the sky. (Admittedly, it’s difficult to put a finger on any particular purpose sufficient to justify this tactic of expansion and contraction, unless they’re arguing that the long-term maintenance of an unused unit is significantly cheaper in the collapsed state, but it does at least show a system that is in principle capable of multiple configurations.) So while Adaptive Ecologies itself acknowledges three registers of iterative design — behavioral, self-organizational and morphogenetic — it appears to be only the latter that is given any serious consideration.
- More seriously, none of the structures featured appear to be provided with any actual mechanism that would permit dynamic adaptation. We can be generous, and assume that these structures are notionally equipped with the sensors, actuators and other infrastructural componentry necessary to the work of transformation — designed, perhaps, by students in other modules of the AA, or left up to hands-on experimental practices like The Living. But nowhere in these renderings is any such thing stipulated (again, that I could tell on a first reading), and that makes the whole outing little more than a formal exercise.
I suppose the feeling is that it’s far too early in the prehistory of adaptive architecture for such details, which would be bound to obsolesce rapidly in any event. But even where there is a specific mechanism identified — notably Team Architecta’s rubber joint, permitting 360-degree rotation and a variety of geometric configurations — it’s never explained how it could possibly function as a component of anything but a model. Is it supposed to work hydraulically? Pneumatically? Through shape-memory myoelectrics? And how is access for maintenance and upgrade supposed to be accomplished? (Scaling even a few panes of one of Chuck Hoberman’s expanding surfaces to room size, and keeping the installation working under conditions of daily use, required constant physical debugging.) It’s hard to imagine, say, Bucky Fuller settling for a sketch of one of his tensegrity structures, and not working questions like these out in detail.
- No attempt is made to reconcile these formal possibilities with the way buildings are actually built. I am perfectly willing to believe that, at some point in the diiiiiistant future, self-powering, self-assembling, self-regulating structures will be “built” one molecule at a time. (At that point, the build/inhabit/maintain distinction would be meaningless, actually, as provisions for various kinds of shelter would presumably arise and subside as required.) But until and unless that point is reached, there will always be human fabricators, contractors and construction workers involved in the assembly of macroscale structures, and if what you intend to build is to be anything other than a one-off proof of concept, that means standardized processes at scale. Institutional and disciplinary conventions. Standard components. Generally-accepted practices and procedures. At no point do the structures described in Adaptive Ecologies coincide with any of these provisions of the contemporary praxis of production.
Again, yes: this is “just a design lab.” But where are these details to be worked out, if not in a design lab? Thousands of kids around the planet already know how to use Maya to crank out unbuildably biomorphic abstractions — functioning as a hinge between these “futuristic” visions and plans which might be realized is where the real discipline and the real inspiration now lie. (I won’t comment for now on the obvious irony that maintaining all of these structures as designed would require the most extraordinary specialist interventions in practice, taking them still further from the possibility that residents themselves could usefully modify or adapt them.)
- Finally, no attempt is made to reconcile these formal possibilities with any actual practice of living. In a book stuffed full of the most extravagant imagery, one illustration in particular — the work of Danilo Arsic, Yoshimasa Hagiwara and Hala Sheikh’s Team Architecta — stands out for me as an indication that the discipline is speaking only to itself. It features the by-now-familiar typology of a high-rise service-and-circulation core studded with plug-in living pods, the units of which rather resemble mutant avian skulls. Put aside for a second the certainty that this Kikutake- or Archigram-style typology, first articulated in the late 1950s, would have enveloped the globe by now if there were anything remotely appealing or useful about it. What concerns me here is the frankly malevolent appearance of Architecta’s take on the trope (which just between you and me strikes me as kind of awesome, but which I cannot imagine being built in any city this side of Deadworld).
I know, I know: tastes change over time, just as they vary from place to place. Still, who wants to live in a structure that looks like nothing so much as a ravening gyre of supremely Angry Birds? Unless you can somehow convince me that you could gather enough devotees of True Norwegian Black Metal in one place to populate a shrieking kvlt arcology, I think this one’s an index of parametric design’s weirdly airless inwardness.
I get that this is an aesthetic of the age — “gigaflop Art Nouveau,” I called it a few years back. (1998, to be precise.) But as an aesthetic, it can and should stand on its own, without being married to an entirely separate discourse about responsive urbanism. As a casebook of purely formal studies and strategies, Adaptive Ecologies is by and large reasonably convincing, and here and there very much so. It’s all the rhetoric about biomimetic or physiomimetic processes of structuration somehow leading to more, rather than less, flexible assemblages that’s its weakest point, and unfortunately that’s the very trellis that Spyropolous has used to train his vines on. I welcome and applaud what he’s up to in Adaptive Ecologies, but as far as I can tell the attempt to devise a vocabulary of dynamic form that is capable of change over relatively short time scales still awaits its fundamental pattern language.
And if nothing else, it’s surreal to look up from this book and gaze out the window onto a city where SHoP’s towers are considered architecturally daring, and in which the overwhelmingly fundamental problem isn’t the timidity of its design but the inability to provide all residents with decent, affordable housing.
Henri Lefebvre once asked, “Could it be that the space of the finest cities came into being after the fashion of plants and flowers in a garden?” I myself happen to believe that this is true not merely of the finest cities, but of all cities: that they are given form by generative processes as organic as any of those so beloved of the parametricists, operating at a scale and subtlety beyond the ability of any merely optical apparatus to detect. It is when we finally learn to take the measure of those processes that we will stand ready to author truly adaptive ecologies.
One final note: it’s only fair to point out that much of the work on view in Adaptive Ecologies is on the order of eight years old, and that a great deal can change in that kind of time. I sure as hell wouldn’t want to be held to every position I advanced in 2005.
The following is the draft of a section from my forthcoming book, The City Is Here For You To Use, concerning various ways in which networked devices are used to furnish the mobile pedestrian with a layer of location-specific information superimposed onto the forward view — “augmented reality,” in other words. (The context is an extended discussion of four modes in which information is returned from the global network to the world so it may be engaged, considered and acted upon, which is why the bit here starts in medias res.)
As you see it here, the section is not quite in its final form; it hasn’t yet been edited for meter, euphony or flow, and in particular, some of the arguments toward the end remain too telescoped to really stand up to much inspection. Nevertheless, given the speed at which wearable AR is evolving, I thought it would be better to get this out now as-is, to garner your comments and be strengthened by them. I hope you enjoy it.
One seemingly potent way of returning networked information to the world would be if we could layer it directly over that which we perceive. This is the premise of so-called augmented reality, or AR, which proposes to furnish users with some order of knowledge about the world and the objects in it, via an overlay of informational graphics superimposed on the visual field. In principle, this augmentation is agnostic as to the mediating artifact involved, which could be the screen of a phone or tablet, a vehicle’s windshield, or, as Google’s Glass suggests, a lightweight, face-mounted reticle.
AR has its conceptual roots in informational displays developed for military pilots in the early 1960s, at the point when the performance of enemy fighter aircraft began to overwhelm a human pilot’s ability to react. In the fraught regime of jet-age dogfighting, even a momentary dip of the eyes to a dashboard-mounted instrument cluster could mean disaster. The solution was to project information about altitude, airspeed and the status of weapons and other critical aircraft systems onto a transparent pane aligned with the field of vision, a “head-up display.”
This notion turned to have applicability in fields beyond aerial combat, where the issue wasn’t so much reaction time as it was visual complexity. One early AR system was intended to help engineers make sense of the gutty tangle of hydraulic lines, wiring and control mechanisms in the fuselage of an airliner under construction; each component in the otherwise-hopeless confusion was overlaid with a visual tag identifying it by name, and colored according to the system it belonged to.
Other systems were designed to help people manage situations in which both time and the complexity of the environment were sources of pressure — for example, to aid first responders in dispelling the fog and chaos they’re confronted with upon arrival at the scene of an emergency. One prototype furnished firefighters with visors onto which structural diagrams of a burning building were projected, along with symbols indicating egress routes, the position of other emergency personnel, and the presence of electric wiring or other potentially dangerous infrastructural elements.
The necessity of integrating what were then relatively crude and heavy cameras, motion sensors and projectors into a comfortably wearable package limited the success of these early efforts — and this is to say nothing of the challenges posed by the difficulty of establishing a reliable network connection to a mobile unit. But the conceptual heavy lifting done to support these initial forays produced a readymade discourse, waiting for the day augmentation might be reinstantiated in smaller, lighter, more capable hardware.
That is a point we appear to have arrived at with the advent of the smartphone. As we’ve seen, the smartphone handset can be thought of as a lamination together of several different sensing and presentation technologies, subsets of which can be recombined with one another to produce distinctly different ways of engaging networked information. Bundle a camera, accelerometer/gyroscope, and display screen in a single networked handset, and what you have in your hands is indeed an artifact capable of sustaining rudimentary augmentation. Add GPS functionality and a three-dimensional model of the world — either maintained onboard the device, or resident in the cloud — and a viewer can be offered location-specific information, registered with and mapped onto the surrounding urban fabric.
In essence, phone-based AR treats the handset like the transparent pane of a cockpit head-up display: you hold it before you, its camera captures the forward-facing view, and this is rendered on the screen transparently but for whatever overlay of information is applied. Turn and the on-screen view turns with you, tracked (after a momentary stutter) by the grid of overlaid graphics. And those graphics can provide anything the network can: identification, annotation, direction or commentary.
It’s not hard to see why developers and enthusiasts might jump at this potential, even given the sharp limits imposed by the phone as platform. We move through the world and we act in it, but the knowledge we base our movements and actions on is always starkly less than what it might be. And we pay the price for this daily, in increments of waste, frustration, exhaustion and missed opportunity. By contrast, the notion that everything the network knows might be brought to bear on someone or -thing standing before us, directly there, directly present, available to anyone with the wherewithal to sign a two-year smartphone contract and download an app — this is a deeply seductive idea. It offers the same aura of omnipotence, that same frisson of godlike power evoked by our new ability to gather, sift and make meaning of the traces of urban activity, here positioned as a direct extension of our own senses.
Why not take advantage of this capability? After all, the richness and complexity of city life confronts us with any number of occasions on which the human sensorium could do with a little help.
Let a few hundred neurons in the middle fusiform gyrus of the brain’s right hemisphere be damaged, or fail to develop properly in the first place, and the result is a disorder called prosopagnosia, more commonly known as faceblindness. As the name suggests, the condition deprives its victims of the ability to recognize faces and associate them with individuals; at the limit, someone suffering with a severe case may be entirely unable to remember what his or her loved ones look like. So central is the ability to recognize others to human socialization, though, that even far milder cases cause significant problems.
Sadly, this is something I can attest to from firsthand experience. Like an estimated 2.5% of the population, I suffer from the condition, and even in the relatively attenuated form I’m saddled with, my broad inability to recognize people has caused more than a few experiences of excruciating awkwardness. At least once or twice a month I run into people on the street who clearly have some degree of familiarity with me, and find myself unable to come up with even a vague idea of who they might be; I’ll introduce myself to a woman at a party, only to have her remind me (rather waspishly, but who can blame her) that we’d worked together on a months-long project. Deprived of contextual cues — the time and location at which I usually meet someone, a distinctive hairstyle or mode of dress — I generally find myself no more able to recognize former colleagues or students than I can complete strangers. And as uncomfortable as this can be for me, I can only imagine how humiliating it is for the person on the other end of the encounter.
I long ago lost track of the number of times in my life at which I would have been grateful for some subtle intercessionary agent: something that might drop a glowing outline over the face of someone approaching me and remind me of his or her name, the occasion on which we met last, maybe even what we talked about on that occasion. It would spare both of us from mortification, and shield my counterpart from the inadvertent but real insult implied by my failure to recognize them. So the ambition of using AR in this role is lovely — precisely the kind of sensitive technical deployment I believe in, where technology is used to lower the barriers to socialization, and reduce or eliminate the awkwardnesses that might otherwise prevent us from better knowing one another.
But it’s hard to imagine any such thing being accomplished by the act of holding a phone up in front of my face, between us, forcing you to wait first for me to do so and then for the entire chain of technical events that must follow in order to fulfill the aim at the heart of the scenario. The device must acquire an image of your face with the camera, establish the parameters of that face from the image, and upload those parameters to the cloud via the fastest available connection, so they may be compared with a database of facial measurements belonging to known individuals; if a match is found, the corresponding profile must be located, and the appropriate information from that profile piped back down the connection so it may be displayed as an overlay on the screen image.
Too many articulated parts are involved in this interaction, too many dependencies — not least of which is the coöperation of a Facebook, a Google, or some other enterprise with a reasonably robust database of facial biometrics, and that is of course wildly problematic for other reasons. Better I should have confessed my confusion to you in the first place.
Perhaps a less technologically-intensive scenario would be better suited to the phone as platform for augmentation? How about helping a user find their way around the transit system, amidst all the involutions of the urban labyrinth?
Here we can weigh the merits of the use case by considering an actual, shipping product, Acrossair’s Nearest Subway app for the iPhone, first released in 2010. Like its siblings for London and Paris, Nearest Tube and Nearest Metro, Nearest Subway uses open location data made available by the city’s transit authority to specify the positions of transit stops in three-dimensional space. On launch, the app loads a hovering scrim of simple black tiles featuring the name of each station, and icons of the lines that serve it; the tiles representing more distant stations are stacked atop those that are closer. Rotate, and the scrim of tiles rotates with you. Whichever way you face, you’ll see a tile representing the nearest subway station in the direction of view, so long as some outpost of the transit network lies along that bearing in the first place.
Nearest Subway is among the more aesthetically appealing phone-based AR applications, eschewing junk graphics for simple, text-based captions sensitively tuned to the conventions of each city’s transit system. If nothing else, it certainly does what it says on the tin. It is, however, almost completely worthless as a practical aid to urban navigation.
When aimed to align with the Manhattan street grid from the corner of 30th Street and First Avenue, Nearest Subway indicates that the 21st Street G stop in Long Island City is the closest subway station, at a distance of 1.4 miles in a north-northeasterly direction.
As it happens, there are a few problems with this. For starters, from this position the Vernon Boulevard-Jackson Avenue stop on the 7 line is 334 meters, or roughly four New York City blocks, closer than 21st Street, but it doesn’t appear as an option. This is either an exposure of some underlying lacuna in the transit authority’s database — unlikely, but as anyone familiar with the MTA understands implicitly, well within the bounds of possibility — or more probably a failure on Acrossair’s part to write code that retrieves these coordinates properly.
Just as problematically, the claimed bearing is roughly 55 degrees off. If, as will tend to be the case in Manhattan, you align yourself with the street grid, a phone aimed directly uptown will be oriented at 27 degrees east of due north, at which point Nearest Subway suggests that the 21st Street station is directly ahead of you. But it actually lies on an azimuth of 82 degrees; if you took the app at its word, you’d be walking uptown a long time before you hit anything even resembling a subway station. This is most likely to be a calibration error with the iPhone’s compass, but fairly or otherwise Nearest Subway shoulders the greater part of the blame here — as anyone familiar with computational systems has understood since the time of Babbage, if you put garbage in, you’ll get garbage out.
Furthermore, since by design the app only displays those stations roughly aligned with your field of vision, there’s no way for it to notify you that the nearest station may be directly behind your back. Unless you want to rotate a full 360 degrees, then, and make yourself look like a complete idiot in the process, the most practical way to use Nearest Subway is to aim the phone directly down, which makes a reasonably useful ring of directional arrows and distances pop up. (These, of course, could have been superimposed on a conventional map in the first place, without undertaking the effort of capturing the camera image and augmenting it with a hovering overlay of theoretically compass-calibrated information.)
However unfortunate these stumbles may be, they can all be resolved, addressed with tighter code, an improved user interface or a better bearing-determination algorithm. Acrossair could fix them all, though — enter every last issue in a bug tracker, and knock them down one by one — and that still wouldn’t address the primary idiocy of urban AR in this mode: from 30th Street and First Avenue, the 21st Street G stop is across the East River. You need to take a subway to get there in the first place. However aesthetically pleasing an interface may be, using it to find the closest station as the crow flies does you less than no good when you’re separated from it by a thousand meters of water.
Finally, Nearest Subway betrays a root-level misunderstanding of the relationship between a citydweller and a transportation network. In New York City, as in every other city with a complex underground transit system, you almost never find yourself in a situation where you need to find the station that’s nearest in absolute terms to begin with; it’s far more useful to find the nearest station on a line that gets you where you want to go. Even at the cost of cluttering what’s on the screen, then, the very first thing the would-be navigator of the subway system needs is a way to filter the options before them by line.
I raise these points not to park all of the blame at Acrossair’s door, but to suggest that AR itself is badly unsuited to this role, at least when handled in this particular way. It takes less time to load and use a map than it does to retrieve the same information from an augmentive application, and the map provides a great deal more of the context so necessary to orienting yourself in the city. At this point in technological evolution, then, more conventional interface styles will tend to furnish a user with relevant information more efficiently, with less of the latency, error and cruft that inevitably seem to attend the attempt to superimpose it over the field of vision.
If phone-based augmentation performs poorly as social lubricant or aid to urban navigation, what about another role frequently proposed for AR, especially by advocates in the cultural heritage sector? This use case hinges on the argument that by superimposing images or other vestiges of the past of a place directly over its present, AR effectively endows its users with the ability to see through time.
This might not make much sense at all in Songdo, or Masdar, or any of the other new cities now being built from scratch on greenfield sites. But anyone who lives in a place old enough to have felt the passage of centuries knows that history can all too easily be forgotten by the stones of the city. Whatever perturbations from historical events may still be propagating through the various flows of people, matter, energy and information that make a place, they certainly aren’t evident to casual inspection. An augmented view returning the layered past to the present, in such a way as to color our understanding of the things all around us, might certainly prove to be more emotionally resonant than any conventional monument.
Byzantium, old Edo, Roman Londinium, even New Amsterdam: each of these historical sites is rife with traces we might wish to surface in the city occupying the same land at present. Locales overwhelmed by more recent waves of colonization, gentrification or redevelopment, too, offer us potent lenses through which to consider our moment in time. It would surely be instructive to retrieve some record of the jazz- and espresso-driven Soho of the 1950s and layer it over what stands there at present; the same goes for the South Bronx of 1975. But traversed as it was during the twentieth century by multiple, high-intensity crosscurrents of history, Berlin may present the ultimate terrain on which to contemplate recuperation of the past.
This is a place where pain, guilt and a sense of responsibility contend with the simple desire to get on with things; no city I’m familiar with is more obsessively dedicated to the search for a tenable balance between memory and forgetting. The very core of contemporary Berlin is given over to a series of puissant absences and artificially-sustained presences, from the ruins of Gestapo headquarters, now maintained as a museum called Topography of Terror, to the remnants of Checkpoint Charlie. A long walk to the east out leafy Karl-Marx-Allee — Stalinallee, between 1949 and 1961 — takes you to the headquarters of the Stasi, the feared secret police of the former East Germany, also open to the public as a museum. But there’s nowhere in Berlin where the curious cost of remembering can be more keenly felt than in the field of 2,711 concrete slabs at the corner of Ebertstrasse and Hannah-Arendt-Strasse. This is the Memorial to the Murdered Jews of Europe, devised by architect Peter Eisenman, with early conceptual help from the sculptor Richard Serra.
Formally, the grim array is the best thing Eisenman has ever set his hand to, very nearly redemptive of a career dedicated to the elevation of fatuous theory over aesthetic coherence; perhaps it’s the Serra influence. But as a site of memory, the Monument leaves a great deal to be desired. It’s what Michel Foucault called a heterotopia: something set apart from the ordinary operations of the city, physically and semantically, a place of such ponderous gravity that visitors don’t quite know what to make of it. On my most recent visit, the canyons between the slabs rang with the laughter of French schoolchildren on a field trip; the children giggled and flirted and shouted to one another as they leapt between the stones, and whatever the designer’s intent may have been, any mood of elegy or commemoration was impossible to establish, let alone maintain.
Roughly two miles to the northeast, on the sidewalk in front of a doner stand in Mitte, is a memorial of quite a different sort. Glance down, and you’ll see the following words, inscribed into three brass cubes set side by side by side between the cobblestones:
Ermordet in Auschwitz: that is, on specific dates in November of 1942 and March of the next year, the named people living at this address were taken across this very sidewalk and forcibly transported hundreds of miles east by the machinery of their own government, to a country they’d never known and a facility expressly designed to murder them. The looming façades around you were the last thing they ever saw as free people.
It’s in the dissonance between the everyday bustle of Mitte and these implacable facts that the true horror resides — and that’s precisely what makes the brass cubes a true memorial, indescribably more effective than Eisenman’s. The brass cubes, it turns out, are Stolpersteine, or “stumbling blocks,” a project of artist Gunter Demnig; these are but three of what are now over 32,000 that Demnig has arranged to have placed in some 700 cities. The Stolpersteine force us to read this stretch of unremarkable sidewalk in two ways simultaneously: both as a place where ordinary people go placidly about their ordinary business, just as they did in 1942, and as one site of a world-historical, continental-scale ravening.
The stories etched in these stones are the kind of facts about a place that would seem to yield to a strategy of augmentation. The objection could certainly be raised that I found them so resonant precisely because I didn’t see them every day, and that their impact would very likely fade with constant exposure; we might call this the evil of banality. But being compelled to see and interpret the mundane things I did in these streets through the revenant past altered my consciousness, in ways subtler and longer-lasting than anything Eisenman’s sepulchral array of slabs was able to achieve. AR would merely make the metaphor literal — in fact, it’s easy for me to imagine the disorienting, decentering, dis-placing impact of having to engage the world through a soft rain of names, overlaid onto the very places from which their owners were stolen.
But once again, it’s hard to imagine this happening via the intercession of a handset. Nor are the qualities that make smartphone-based AR so catastrophically clumsy, in virtually every scenario of use, particularly likely to change over time.
The first is the nature of functionality on the smartphone. As we’ve seen, the smartphone is a platform on which each discrete mode of operation is engaged via a dedicated, single-purpose app. Any attempt at augmenting the environment, therefore, must be actively and consciously invoked, to the exclusion of other useful functionality. The phone, when used to provide such an overlay, cannot also and at the same time be used to send a message, look up an address, buy a cup of coffee, or do any of the other things we now routinely expect of it.
The second reservation is physical. Providing the user with a display surface for graphic annotation of the forward view simply isn’t what the handset was designed to do. It must be held before the eyes like a pane of glass in order for the augmented overlay to work as intended. It hardly needs to be pointed out that this gesture is not one particularly well-suited to the realities of urban experience. It has the doubly unappealing quality of announcing the user’s distraction and vulnerability to onlookers, while simultaneously ensuring that the device is held in the weak grip of the extended arm — a grasp from which it may be plucked with relative ease.
Taken together, these two impositions strongly undercut the primary ostensible virtue of an augmented view, which is its immediacy. The sole genuine justification for AR is the idea that information is simply there, copresent with that you’re already looking at and able to be assimilated without thought or effort.
That sense of effortlessness is precisely what an emerging class of wearable mediators aims to provide for its users. The first artifact of this class to reach consumers is Google’s Glass, which mounts a high-definition, forward-facing camera, a head-up reticle and the microphone required by the natural-language speech recognition interface on a lightweight aluminum frame. While Glass poses any number of aesthetic, practical and social concerns — all of which remain to be convincingly addressed, by Google or anyone else — it does at least give us a way to compare hands-free, head-mounted AR with the handset-based approach.
Would any of the three augmentation scenarios we explored be improved by moving the informational overlay from the phone to a wearable display?
A system designed to mitigate my prosopagnosia by recognizing faces for me would assuredly be vastly better when accessed via head-mounted interface; in fact, that’s the only scenario of technical intervention in relatively close-range interpersonal encounters that’s credible to me. The delay and physical awkwardness occasioned by having to hold a phone between us goes away, and while there would still be a noticeable saccade or visual stutter as I glanced up to read your details off my display, this might well be preferable to not being remembered at all.
That is, if we can tolerate the very significant threats to privacy involved, which only start with Google’s ownership of or access to the necessary biometric database. There’s also the question of their access to the pattern of my requests, and above all the one fact inescapably inherent to the scenario: that people are being identified as being present in a certain time and place, without any necessity whatsoever of securing consent on their part. By any standard, this is a great deal of risk to take on, all to lubricate social interactions for 2.5% of the population.
Nearest Subway, as is, wouldn’t be improved by presentation in the line of sight. Given what we’ve observed about the way people really use subway networks, information about the nearest station in a given direction wouldn’t be of any greater utility when splashed on a head-up display than it is on the screen of a phone. Whatever the shortcomings of this particular app, though, they probably don’t imply anything in particular about the overall viability of wearable AR in the role of urban navigation, and in many ways the technology does seem rather well-suited to the wayfinding challenges faced by the pedestrian.
Of the three scenarios considered here, though, it’s AR’s potential to offer novel perspectives on the past of a place that would be most likely to benefit from the wearable approach. We would quite literally see the quotidian environment through the lens of a history superimposed onto it. So equipped, we could more easily plumb the psychogeographical currents moving through a given locale, better understand how the uses of a place had changed over time, or hadn’t. And because this layer of information could be selectively surfaced — invoked and banished via voice command, toggled on or off at will — presenting information in this way might well circumvent the potential for banality through overfamiliarization that haunts even otherwise exemplary efforts like Demnig’s Stolpersteine.
And this suggests something about further potentially productive uses for augmentive mediators like Glass. After all, there are many kinds of information that may be germane to our interpretation of a place, yet effectively invisible to us, and historical context is just one of them. If our choices are shaped by dark currents of traffic and pricing, crime and conviviality, it’s easy to understand the appeal of any technology proposing that these dimensions of knowledge be brought to bear on that which is seen, whether singly or in combination. The risk of bodily harm, whatever its source, might be rendered as a red wash over the field of vision; point-by-point directions as a bright and unmistakable guideline reaching into the landscape. In fact any pattern of use and activity, so long as its traces were harvested by some data-gathering system and made available to the network, might be made manifest to us in this way.
Some proposed uses of mediation are more ambitious still, pushing past mere annotation of the forward view to the provision of truly novel modes of perception — for example, the ability to “see” radiation at wavelengths beyond the limits of human vision, or even to delete features of the visual environment perceived as undesirable. What, then, keeps wearable augmentation from being the ultimate way for networked citizens to receive and act on information?
The approach of practical, consumer-grade augmented reality confronts us with a interlocking series of concerns, ranging from the immediately practical to the existential.
A first set of reservations centers on the technical difficulties involved in the articulation of an acceptably high-quality augmentive experience. We’ve so far bypassed discussion of these so we could consider different aspects of the case for AR, but ultimately they’re not of a type that allows anyone to simply wave them away.
At its very core, the AR value proposition subsists in the idea that interactions with information presented in this way are supposed to feel “effortless,” but any such effortlessness would require the continuous (and continuously smooth) interfunctioning of a wild scatter of heterogeneous elements. In order to make good on this promise, a mediation apparatus would need to fuse all of the following elements: a sensitively-designed interface; the population of that interface with accurate, timely, meaningful and actionable information; and a robust, high-bandwidth connection to the networked assets furnishing that information from any point in the city, indoors or out. Even putting questions of interface design to the side, the technical infrastructure capable of delivering the other necessary elements reliably enough that the attempt at augmentation doesn’t constitute a practical and social hazard in its own right does not yet exist — not anywhere in North America, anyway, and not this year or next. The hard fact is that for a variety of reasons having to do with national spectrum policy, a lack of perceived business incentives for universal broadband connectivity, and other seemingly intractable circumstances, these issues are nowhere near being ironed out.
In the context of augmentation, as well, the truth value of representations made about the world acquires heightened significance. By superimposing information directly on its object, AR arrogates to itself a peculiar kind of claim to authority, a claim of a more aggressive sort than that implicit in other modes of representation, and therefore ought to be held to a higher standard of completeness and accuracy. As we saw with Nearest Subway, though, an overlay can only ever be as good as the data feeding it, and the augurs in this respect are not particularly reassuring. Right now, Google’s map of the commercial stretch nearest to my apartment building provides labels for only four of the seven storefront businesses on the block, one of which is inaccurately identified as a restaurant that closed many years ago. If even Google, with all the resources it has at its disposal, struggles to provide its users with a description of the streetscape that is both comprehensive and correct, how much more daunting will other actors find the same task?
Beyond this are the documented problems with visual misregistration and latency that are of over a decade’s standing, and have not been successfully addressed in that time — if anything, have only been exacerbated by the shift to consumer-grade hardware. At issue is the mediation device’s ability to track rapid motions of the head, and smoothly and accurately realign any graphic overlay mapped to the world; any delay in realignment of more than a few tens of milliseconds is conspicuous, and risks causing vertigo, nausea and problems with balance and coordination. The initial release of Glass, at least, wisely shies away from any attempt to superimpose such overlays, but the issue must be reckoned with at some point if useful augmentive navigational applications are ever to be developed.
Another set of concerns centers on the question of how long such a mediator might comfortably be worn, and what happens after it is taken off. This is of especial concern given the prospect that one or another form of wearable AR might become as prominent in the negotiation of everyday life as the smartphone itself. There is, of course, not much in the way of meaningful prognostication that can be made ahead of any mass adoption, but it’s not unreasonable to build our expectations on the few things we do know empirically.
Early users of Google’s Glass report disorientation upon removing the headset, after as few as fifteen minutes of use — a mild one, to be sure, and easily shaken off, from all accounts the sort of uneasy feeling that attends staring overlong at an optical illusion. If this represents the outer limit of discomfort experienced by users, it’s hard for me to believe that it would have much impact on either the desirability of the product or people’s ability to function after using it. But further hints as to the consequences of long-term use can be gleaned from the testimony of pioneering researcher Steve Mann, who has worn a succession of ever-lighter and more-capable mediation rigs all but continuously since the mid-1980s. And his experience would seem to warrant a certain degree of caution: Mann, in his own words, early on “developed a dependence on the apparatus,” and has found it difficult to function normally on the few occasions he has been forcibly prevented from accessing his array of devices.
When deprived of his set-up for even a short period of time, Mann experiences “profound nausea, dizziness and disorientation”; he can neither see clearly nor concentrate, and has difficulty with basic cognitive and motor tasks. He speculates that over many years, his neural wiring has adapted to the continuous flow of sensory information through his equipment, and this is not an entirely ridiculous thing to think. At this point, the network of processes that constitutes Steve Mann’s brain — that in some real albeit reductive sense constitutes Steve Mann — lives partially outside his skull.
The objection could be made that this is always already the case, for all of us — that some nontrivial part of everything that make us what we are lives outside of us, in the world, and that Mann’s situation is only different in that much of his outboard being subsists in a single, self-designed apparatus. But if anything, this makes the prospect of becoming physiologically habituated to something like Google Glass still more worrisome. It’s precisely because Mann developed and continues to manage his own mediation equipment that he can balance his dependency on it with the relative freedom of action enjoyed by someone who for the most part is able to determine the parameters under which that equipment operates.
If Steve Mann has become a radically hybridized consciousness, at least he has a legitimate claim to ownership and control over all of the places where that consciousness is instantiated. By contrast, all of the things a commercial product like Glass can do for the user rely on the ongoing provision of a service — and if there’s anything we know about services, it’s that they can be and are routinely discontinued at will, as the provider fails, changes hands, adopts a new business strategy or simply reprioritizes.
A final set of strictly practical concerns have to do with the collective experience of augmentation, or what implications our own choice to be mediated in this way might hold for the experience of others sharing the environment.
For all it may pretend to transparency, literally and metaphorically, any augmentive mediator by definition imposes itself between the wearer and the phenomenal world. This, of course, is by no means a quality unique to augmented reality. It’s something AR has in common with a great many ways we already buffer and mediate what we experience as we move through urban space, from listening to music to wearing sunglasses. All of these impose a certain distance between us and the full experiential manifold of the street, either by baffling the traces of it that reach our senses, or by offering us a space in which we can imagine and project an alternative narrative of our actions.
But there’s a special asymmetry that haunts our interactions with networked technology, and tends to undermine our psychic investment in the immediate physical landscape; if “cyberspace is where you are when you’re on the phone,” it’s certainly also the “place” you are when you text or tweet someone while walking down the sidewalk. I’ve generally referred to what happens when someone moves through the city while simultaneously engaged in some kind of remote interaction as a condition of “multiple adjacency,” but of course it’s really no such thing: so far, at least, only one mode of spatial experience can be privileged at a given time. And if it’s impossible to participate fully in both of these realms at once, one of them must lose out.
Watch what happens when a pedestrian first becomes conscious of receiving a call or a text message, the immediate damming they cause in the sidewalk flow as they pause to respond to it. Whether the call is made hands-free or otherwise doesn’t really seem to matter; the cognitive and emotional investment in what transpires in the interface is what counts, and this investment is generally so much greater than it is in the surroundings that street life clearly suffers as a result. The risk inherent in this divided attention appears to be showing up in the relevant statistics in the form of an otherwise hard-to-account-for upturn in accidents involving pedestrian fatalities, where such numbers had been falling for years. This is a tendency that is only likely to be exacerbated by augmentive mediation, particularly where content of high inherent emotional involvement is concerned.
At this moment in time, it would be hard to exaggerate the appeal the prospect of wearable augmentation holds for its vocal cohort of enthusiasts within the technology community. This fervor can be difficult to comprehend, so long as AR is simply understood to refer to a class of technologies aimed at overlaying the visual field with information about the objects and circumstances in it.
What the discourse around AR shares with other contemporary trans- and posthuman narratives is a frustration with the limits of the flesh, and a frank interest in transcending them through technical means. To advocates, the true appeal of projects like Google’s Glass is that they are first steps toward the fulfillment of a deeper promise: that of becoming-cyborg. Some suggest that ordinary people mediate the challenges of everyday life via complex informational dashboards, much like those first devised by players of World of Warcraft and similar massively multiplayer online role-playing games. The more fervent dream of a day when their capabilities are enhanced far beyond the merely human by a seamless union of organic consciousness with networked sensing, processing, analytic and storage assets.
Beyond the profound technical and practical challenges involved in achieving any such goal, though, someone not committed to one or another posthuman program may find that they have philosophical reservations with this notion, and what it implies for urban life. These may be harder to quantify than strictly practical objections, but any advocate of augmentation technologies who is also interested in upholding the notion of a city as a shared space will have to come to some reckoning with them.
Anyone who cares about what we might call the full bandwidth of human communication — very much including transmission and reception of those cues vital to understanding, but only present beneath the threshold of conscious perception — ought to be concerned about the risk posed to interpersonal exchanges by augmentive mediation. Wearable devices clearly have the potential to exacerbate existing problems of self-absorption and mutual inconsideration. Although in principle there’s no reason such devices couldn’t be designed to support or even enrich the sense of intersubjectivity, what we’ve seen about the technologically-mediated pedestrian’s unavailability to the street doesn’t leave us much room for optimism on this count. The implication is that if the physical environment doesn’t fully register to a person so equipped, neither will other people.
Nor is the body by any means the only domain that the would-be posthuman subject may wish to transcend via augmentation. Subject as it is to the corrosive effects of entropy and time, forcing those occupying it to contend with the inconvenient demands of others, the built environment is another. Especially given current levels of investment in physical infrastructure in the United States, there is a very real risk that those who are able to do so will prefer retreat behind a wall of mediation to the difficult work of being fully present in public. At its zenith, this tendency implies both a dereliction of public space and an almost total abandonment of any notion of a shared public realm. This is the scenario imagined by science-fiction author Vernor Vinge in Rainbows End (2006), in which people interact with the world’s common furniture through branded thematic overlays of their choice; it’s a world that can be glimpsed in the matter-of-factly dystopian videos of Keiichi Matsuda, in which a succession of squalid environments come to life only when activated by colorful augmentive animations.
The most distressing consequences of such a dereliction would be felt by those left behind in any rush toward augmentation. What happens when the information necessary to comprehend and operate an environment is not immanent to that environment, but has become decoupled from it? When signs, directions, notifications, alerts and all the other instructions necessary to the fullest use of the city appear only in an augmentive overlay, and as is inevitably the case, that overlay is available to some but not others? What happens to the unaugmented human under such circumstances? The perils would surely extend beyond a mere inability to act on information; the non-adopter of a particularly hegemonic technology almost always places themselves at jeopardy of being seen as a willful transgressor of norms, even an ethical offender. Anyone forgoing augmentation, for whatever reason, may find that they are perceived as somehow less than a full member of the community, with everything that implies for the right to be and act in public.
The deepest critique of all those lodged against augmented reality is sociologist Anne Galloway’s, and it is harder to answer. Galloway suggests that the discourse of computational augmentation, whether consciously or otherwise, “position[s] everyday places and social interactions as somewhat lacking or in need of improvement.” Again there’s this Greshamization, this sense of a zero-sum relationship between AR and a public realm already in considerable peril just about everywhere. Maybe the emergence of these systems will spur us to some thought as to what it is we’re trying so hard to augment. Philip K. Dick once defined reality as “that which refuses to go away when you stop believing in it,” and it’s this bedrock quality of universal accessibility — to anyone at all, at any time of his or her choosing — that constitutes its primary virtue. If nothing else, reality is the one platform we all share, a ground we can start from in undertaking the arduous and never-comfortable process of determining what else we might agree upon. To replace this shared space with the million splintered and mutually inconsistent realities of individual augmentation is to give up on the whole pretense that we in any way occupy the same world, and therefore strikes me as being deeply inimical to the urban project as I understand it. A city in which the physical environment has ceased to function as a common reference frame is, at the very least, terribly inhospitable soil for democracy, solidarity or simple fellow-feeling to take root in.
It may well be that this concern is overblown. There is always the possibility that augmented reality never will amount to very much, or that after a brief period of consideration it’s actively rejected by the mainstream audience. Within days of the first significant nonspecialist publicity around Google Glass, Seattle dive bar The 5 Point became the first commercial establishment known to have enacted a ban on the device, and if we can fairly judge from the rather pungent selection of terms used to describe Glass wearers in the early media commentary, it won’t be the last. By the time you read these words, these weak signals may well have solidified into some kind of rough consensus, at least in North America, that wearing anything like Glass in public space constitutes a serious faux pas. Perhaps this and similar AR systems will come to rest in a cultural-aesthetic purgatory like that currently occupied by Bluetooth headsets, and if that does turn out to be the case, any premature worry about the technology’s implications for the practice of urban democracy will seem very silly indeed.
But something tells me that none of the objections we’ve discussed here will prove broadly dissuasive, least of all my own personal feelings on the subject. For all the hesitations anybody may have, and for all the vulnerabilities even casual observers can readily diagnose in the chain of technical articulations that produces an augmentive overlay, it is hard to argue against a technology that glimmers with the promise of transcendence. Over anything beyond the immediate near term, some form of wearable augmentive device does seem bound to take a prominent role in returning networked information to the purview of a mobile user at will, and thereby in mediating the urban experience. The question then becomes what kind(s) of urbanity will be produced by people endowed with this particular set of capabilities, individually and collectively, and how we might help the unmediated contend with cities unlike any they have known, enacted for the convenience of the ambiguously transhuman, under circumstances whose depths have yet to be plumbed.
Notes on this section
 Grüter T, Grüter M, Carbon CC (2008). “Neural and genetic foundations of face recognition and prosopagnosia”. J Neuropsychol 2 (1): 79–97.
 For early work toward this end, see http://www.cc.gatech.edu/~thad/p/journal/augmented-reality-through-wearable-computing.pdf. The overlay of a blinking outline or contour used as an identification cue, incidentally, has long been a staple of science-ﬁctional information displays, showing up in pop culture as far back as the late 1960s. The earliest appearance I can locate is 2001: A Space Odyssey (1968), in which the navigational displays of both the Orion III spaceplane and Discovery itself relied heavily on the trope — this, presumably, because they were produced by the same contractor, IBM. See also Pete Shelley’s music video for “Homosapien” (1981) and the traverse corridors projected through the sky of Blade Runner’s Los Angeles (1982).
 As always, I caution the reader that the specifics of products and services, their availability will certainly change over time. All comments here regarding Nearest Subway pertain to v1.4.
 See discussion of “Superplonk” in [a later section]. http://m.spectrum.ieee.org/podcast/geek-life/profiles/steve-manns-better-version-of-reality
 At the very least, user interface should offer some kind of indication as to the confidence of a proffered identification, and perhaps how that determination was arrived at. See [a later section] on seamfulness.
 Azuma, “Registration Errors in Augmented Reality,” 1997.
 See Governors Highway Safety Association, “Spotlight on Highway Safety: Pedestrian Fatalities by State,” 2010. http://www.ghsa.org/html/publications/pdf/spotlights/spotlight_ped.pdf; similarly, a recent University of Utah study found that the act of immersion in a conversation, rather than any physical aspect of use, is the primary distraction while driving and talking on the phone. That hands-free headset may not keep you out of a crash after all. http://www.informationweek.com/news/showArticle.jhtml?articleID=205207840
 A story on the New York City-based gossip site Gawker expressed this point of view directly, if rather pungently: “If You Wear Google’s New Glasses, You Are An Asshole.” http://gawker.com/5990395/if-you-wear-googles-new-glasses-you-are-an-asshole
 The differentiation involved might be very fine-grained indeed. Users may interact with informational objects that exist only for them and for that single moment.
 The first widespread publicity for Glass coincided with Google’s release of a video on Wednesday, 20th February, 2013; The 5 Point announced its ban on 5th March. The expressed concerns center more on the device’s data-collection capability than anything else: according to owner Dave Meinert, his customers “don’t want to be secretly filmed or videotaped and immediately put on the Internet,” and this is an entirely reasonable expectation, not merely in the liminal space of a dive bar but anywhere in the city. See http://news.cnet.com/8301-1023_3-57573387-93/seattle-dive-bar-becomes-first-to-ban-google-glass/