We can think of the propositions the so-called “smart city” is built on as belonging to three orders of visibility. The first is populated by exotica like adaptive sunshades, fully-automated supply and removal chains, and personal rapid transit (“podcar”) systems. These systems feature prominently in the smart city’s advertising, promotional renderings and sales presentations. They may or may not ever come into being — complex and expensive, they very often wind up value-engineered out of the final execution, or at least notionally deferred to some later phase of development — but by announcing that the urban plan in question is decidedly oriented toward futurity, they serve a valuable marketing and public-relations function. Whether or not they ever amount to anything other than what the technology industry calls “vaporware,” they are certainly highly visible, and can therefore readily be held up to consideration.
A second order consists of the behind-the-scenes working of algorithmic systems, the black-box churn of “big data” analytics that, at least in principle, affords metropolitan administrators with the predictive policing, anticipatory traffic control and other services on which the smart-city value proposition is premised. These systems are hard to see because their operations are inherently opaque. While the events concerned are inarguably physical and material, they are far removed from the phenomenological scale of human reckoning. They unfold in the transduction of electrical potential across the circuitry of databases and servers, racked in farms which may be hundreds or even thousands of miles from the city whose activities they regulate. Such systems are, therefore, generally discernible only in their outputs: in the differential posture or disposition of resources, or the perturbations that result when these patterns are folded back against the plane of experience. At best, the dynamics involved may show up in data visualizations bundled into a “city dashboard” – access to which itself may or may not be offered to the populace at large – but they otherwise tend to abscond from immediate awareness.
The third order, however, may be the hardest of all to consider analytically, and this is because it is predominantly comprised of artifacts and services that are already well-assimilated elements of everyday urban life. Being so well woven into the fabric of urban experience, the things that belong to this category, like other elements of the quotidian, fade beneath the threshold of ordinary perception; we only rarely disinter them and subject them to critical evaluation. In this category we can certainly place the smartphone itself: a communication device, intimate sensor platform and aperture onto the global network of barely half a decade’s vintage, that has nonetheless utterly reshaped the tenor and character of metropolitan experience for those who wield one. Here as well we can situate big-city bikesharing schemes — each of which is, despite a certain optical dowdiness, a triumphant assemblage of RFID, GPS, wireless connectivity and other networked information-processing technologies. And here we find the network-mediated mobility-on-demand services that have already done so much to transform what it feels like to move through urban space, at least for a privileged few.
Inordinately prominent among this set of mobility brokers, of course, is the San Francisco-based Uber. So hegemonic is the company that its name has already entered the language as a shorthand for startups and apps dedicated to the smartphone-mediated, on-demand provision of services: we hear the Instacart offering referred to as “an Uber for groceries,” Evolux as “an Uber for helicopters,” Tinder as “an Uber for dating,” and so on. If we are to understand personal mobility in the networked city — how it works, who has access to it, which standing patterns it reinforces and which it actually does disrupt — it might be worth hauling Uber up into the light and considering its culture and operations with particular care.
It may seem perverse to describe something as “difficult to see” when it is so insistently, inescapably visible. To be sure, though, Uber’s sudden prominence is not merely due to the esteem in which its users hold it; the company has a propensity for becoming embroiled in controversy unrivaled by its peers, or indeed by just about any commercial enterprise, regardless of scale or sector. To list just some of the most widely reported incidents it has been involved in during the past half-year:
- Concerned that the non-regulation of Uber’s drivers, vehicles and fare- assessment systems resulted in an unfair competitive advantage on its part, taxi drivers in Berlin, London, Madrid and Paris called a one-day strike in June 2014 (in the wake of which the company crowed that its week-over-week ridership in London had increased by 850%);
- Over the summer months of 2014, insurance providers broadly began to refuse coverage for (and, in some cases, claims against) drivers found to be working for Uber; the company had previously assured drivers that their own personal liability insurance — rather than the vastly more expensive commercial insurance livery services are ordinarily required to provide — would suffice to protect them and their riders;
- In September 2014, it was reported that the company had used ostensibly secure and private user data to populate a real-time visualization of ridership projected onto the wall at a party, for the entertainment of guests;
- In October 2014, a second wave of complaints emerged alleging that Uber had sabotaged mobility-on-demand competitors Lyft and Gett in certain strategic markets, by among other things disseminating untraceable “burner” phones used to book some 5,560 nonexistent rides;
- A persistent drumbeat of allegations of rape and assault lodged against Uber drivers worldwide culminated in decisions by (September) German national and (December) Delhi regional authorities to ban the service entirely;
- A flurry of dismay predictably greeted the company’s active (i.e. deliberate, conscious and human, not algorithmic) decision to institute surge pricing during the December 2014 Sydney hostage incident;
That any given mobility technology should become a flashpoint for so many controversies so widely dispersed over a single six-month period is remarkable. That all of them should involve a sole mobility provider may well be unprecedented. The truth is that we certainly do see Uber…but not for what it is. Its very prominence helps to mask what’s so salient about it.
What is Uber? Founded in 2009 by Travis Kalanick — a UCLA dropout whose only previous business experience involved the peer-to-peer file exchange applications Scour Exchange and Red Swoosh — Uber is a company valued as of the end of 2014 at some $40 billion, currently operating in over 200 cities worldwide. Like others of its ilk, it allows customers to arrange point-to-point journeys as and when desired, via an application previously loaded on their Apple or Android smartphones. All billing is handled through the application, meaning that the rider needn’t worry about the psychological discomfort of negotiating fares at origin or tips at their destination. Its various offerings, which range from the “low-cost” uberX [sic] to the super-premium UberLUX, are positioned as being more convenient, and certainly more comfortable, than existing municipal taxi and livery (“black”) car services. Regardless of service level, the vehicles involved are owned and operated by drivers the company has gone to great lengths to characterize not as employees (with all that would imply for liability insurance, wages, and the provision of employee benefits) but as independent contractors.
Uber is classified under California law as a “network transportation company,” and while the dry legal taxonomy is technically accurate, it masks what is truly radical about the enterprise. Seen clearly, Uber is little more than a brand coupled to a spatialized resource-allocation algorithm, with a rudimentary reputation mechanic running on top. The company owns no fleet, employs relatively few staff directly, and — as we shall see — may not even maintain public offices in the commonly-understood sense of that term.
What distinguishes it from would-be competitors like Hailo and Lyft isn’t so much any particular aspect of its organization or technical functionality, but its stance. Uber comes with an overt ideology. (Even if you somehow remained unaware of CEO Kalanick’s libertarian politics, or his fondness for the work of Ayn Rand — both of which have been widely reported — the nature of that ideology might still readily be inferred from his company’s very name.) Despite a tagline positioning itself as “Everyone’s Private Driver,” Uber has never for a moment pretended to universality. Just the opposite: every aspect of the marketing and user experience announces that this a service consciously designed for the needs, tastes, preferences and status anxieties of a very specific market segment, the aspirant global elite.
Uber makes no apologies about its policy of adaptive surge pricing, in which fare multipliers of up to 8X are applied during periods of particularly heavy demand. But at an average fare of around twenty US dollars, a single Uber ride can still be justified by most members of its target audience as an “affordable luxury” — all the more so when enjoyed as an occasional rather than a daily habit. Availing oneself of this luxury, and being seen to do so, is self-evidently appealing to a wide swath of people living in densely built-up places around the world — necessarily including among their number a great many who would likely be appalled by Kalanick’s politics, were they ever unambiguously forced to consider them.
With Uber, Kalanick has made it clear that a service founded on a relatively high technological base of ubiquitous smartphones, sophisticated digital cartography and civilian GPS can be wildly successful when it is wrapped in the language not of technology itself, but of comfort and convenience. So enticing, indeed, is this combination that hundreds of thousands of users are willing to swallow not merely the technologically complex but the politically unsavory when sugarcoated in this way. While this will likely strike most observers as rather obvious, it is an insight that has thus far eluded other actors with a rhetorical or material stake in the development of a heavily technologized urbanity.
This state of affairs, however, is unlikely to last forever. Other interested parties will surely note Uber’s success, draw their own conclusions from it, and attempt to apply whatever lessons they derive to the marketing of their own products and services. If Uber is a confession that the “smart city” is a place we already live in, then, it is also a cautionary case study in the kinds of values we can expect such a city to uphold in its everyday operation — some merely strongly implicit, others right out there in the open. Just what are they?
– Those who can afford to pay more deserve to be treated better.
Uber’s proposition to its users collapses any distinction between having and deserving; quite simply, its message is that if you can afford to be treated better than others, you’re entitled to be treated better than others.
This is certainly one of the logics of resource allocation available to it in the late-capitalist marketplace; as Harvard’s Michael Sandel observes, in his 2012 What Money Can’t Buy, this particular logic is increasingly filtering into questions traditionally decided by different principles, such as the (at least superficially egalitarian) rule of first-come/first-served. And it is not, after all, very different from the extant market segmentation dividing public transit from taxi or livery-car service: money to spend has always bought the citydweller in motion a certain degree of privacy and flexibility in routing and schedule. What specifically distinguishes Uber from previous quasi-private mobility offerings, though, and takes it into a kind of libertarian hyperdrive, is its refusal to submit to regulation, carry appropriate insurance, provide for the workers on whom it depends, or in any way allow the broader public to share in a set of benefits distributed all but exclusively between the rider and the company. (Driver comments make it clear that it is possible to make decent money as an Uber driver, but only with the most exceptional hustle; the vigorish assessed is significant, and monthly payments on the luxury vehicles the company requires its drivers to own saddle them with an onerous, persistent burden.)
Uber’s “disruptive” business model forthrightly treats the costs of on-demand, point-to-point mobility as externalities to be borne by anonymous, deprecated others, and this is a strong part of what makes it so corrosive of the public trust. This becomes most acutely evident when Uber drivers are involved in fatal accidents during periods when they do not happen to be carrying passengers, as was the case when driver Syed Muzzafar struck and killed six-year-old Sofia Liu in San Francisco, on the last day of 2013. (Muzzafar’s Uber app was open and running at the time he hit Liu and her family, indicating that he was cruising for fares, but the company refuses to accept any liability for the accident.)
– That “better” amounts to a bland generic luxury.
Uber’s conception of user comfort pivots largely on predictability and familiarity. Rather than asking riders to contend with the particularities and idiosyncrasies of local mobility culture, or any of the various factors that distinguish a New York City taxi cab from one in London or Delhi or Beijing, the Uber fleet offers its users a mobile extension of international hospitality ￼nonplace: a single distributed site where globalized norms of blandly aspirational luxury are reinforced.
The suggestions Uber drivers leave for one another on online discussion sites are revealing in this regard. Those who wish to receive high ratings from their passengers are advised to ensure that their vehicles are well-equipped with amenities (mints, bottled water, WiFi connectivity), and remain silent unless spoken to. The all-but-explicit aim is to render the back of an Uber S-Class or 7 Series experientially continuous with the airport lounges, high-end hotels and showplace restaurants of the business-centric generic city hypostatized by Rem Koolhaas in his 1994 article of the same name.
– Interpersonal exchanges are more appropriately mediated by algorithms than by one’s own competence.
This conception of good experience is not the only thing suggesting that Uber, its ridership or both are somewhat afraid of actual, unfiltered urbanity. Among the most vexing challenges residents and other users of any large urban place ever confront is that of trust: absent familiarity, or the prospect of developing it over a pattern of repeated interactions, how are people placed (however temporarily) in a position of vulnerability expected to determine who is reliable?
Like other contemporary services, Uber outsources judgments of this type to a trust mechanic: at the conclusion of every trip, passengers are asked to explicitly rate their driver. These ratings are averaged into a score that is made visible to users in the application interface: “John (4.9 stars) will pick you up in 2 minutes.” The implicit belief is that reputation can be quantified and distilled to a single salient metric, and that this metric can be acted upon objectively.
Drivers are, essentially, graded on a curve: their rolling tally, aggregated over the previous 500 passenger engagements, must remain above average not in absolute terms, but against the competitive set. Drivers whose scores drop beneath this threshold may not receive ride requests, and it therefore functions as an effective disciplinary mechanism. Judging from conversations among drivers, further, the criteria on which this all-important performance metric is assessed are subjective and highly variable, meaning that the driver has no choice but to model what they believe riders are looking for in the proverbial “good driver,” internalize that model and adjust their behavior accordingly.
What riders are not told by Uber — though, in this age of ubiquitous peer-to- peer media, it is becoming evident to many that this has in fact been the case for some time — is that they too are rated by drivers, on a similar five-point scale. This rating, too, is not without consequence. Drivers have a certain degree of discretion in choosing to accept or deny ride requests, and to judge from publicly-accessible online conversations, many simply refuse to pick up riders with scores below a certain threshold, typically in the high 3’s. This is strongly reminiscent of the process that I have elsewhere called “differential permissioning,” in which physical access to everyday spaces and functions becomes ever-more widely apportioned on the basis of such computational scores, by direct analogy with the access control paradigm prevalent in the information security community. Such determinations are opaque to those affected, while those denied access are offered few or no effective means of recourse. For prospective Uber patrons, differential permissioning means that they can be blackballed, and never know why.
Uber certainly has this feature in comment with algorithmic reputation-scoring services like Klout. But all such measures stumble in their bizarre insistence that trust can be distilled to a unitary value. This belies the common-sense understanding that reputation is a contingent and relational thing — that actions a given audience may regard as markers of reliability are unlikely to read that way to all potential audiences. More broadly, it also means that Uber constructs the development of trust between driver and passenger as a circumstance in which algorithmic determinations should supplant rather than rely upon (let alone strengthen) our existing competences for situational awareness, negotiation and the detection of verbal and nonverbal social cues.
Interestingly, despite its deployment of mechanisms intended to assess driver and passenger reliability, the company goes to unusual lengths to prevent itself from being brought to accountability. Following the December 2014 Delhi rape incident, police investigators were stunned to realize that while Uber had been operating in India for some time, neither the .in website nor any other document they had access to listed a local office. They were forced to register for the app themselves (as well as download a third-party payment application) simply so they could hire an Uber car and have the driver bring them to the place where he believed his employers worked. Here we see William Gibson’s science-fictional characterization of 21st-century enterprise (“small, fast, ruthless. An atavism…all edge”) brought to pungent life.
– Private enterprise should be valorized over public service provision on principle, even when public alternatives would afford comparable levels of service.
Our dissection of Uber makes it clear that, in schematic, the company offers
nothing that a transit authority like Transport for London could not in principle furnish its riders. Consider that TfL already has everything it would need to offer not merely a comparable, but a better and more equitable, service: operational control over London’s fleet of black cabs, a legendarily skilled and knowledgeable driver cohort, the regulatory ability to determine tariffs, and a set of existing application programming interfaces giving it the necessary access to data. Indeed, coupling an on-demand service directly to its standing public transit capacity (at route termini, for example, or in neighborhoods of poor network coverage) would extend its reach considerably, and multiply the value of its existing assets. Even after accounting for operating costs Uber is unwilling to bear, the return to the public coffers could be substantial. [UPDATE 29 August 2015: Something very much like this now appears to be happening in New York City.]
Like other transit authorities of its scale, TfL certainly has the sophistication to perform such an analysis. But the neoliberal values on which Uber thrives, and the concomitant assumption that public transport is best provisioned on a privatized, for-profit basis, have become so deeply embedded into the discourse of urban governance just about everywhere that no such initiative is ever proposed or considered. The implication is that the smart city is a place where callow, “disruptive” services with poor long-term prospects for collective benefit are allowed to displace the public accommodations previous generations of citydwellers would have demanded as a matter of course and of right.
Quite simply, the city is smaller for people who have access to Uber. The advent of near-effortless, on-demand, point-to-point personal mobility has given them a tesseract with which the occasionally unwieldy envelope of urban space-time can be folded down to something more readily manageable. It’s trivially easy to understand the appeal of this — especially when the night is dark, the bus shelter is cold, the neighborhood is remote, and one is alone.
But as should be clear by now, this power to fold space and time comes at a terrible cost. The four values enumerated above make Uber a prime generator of the patterns of spatialized injustice Stephen Graham has called “software-sorted geographies,” although it does so in a way unencompassed by Graham’s original account. Its ordinary operation injects the urban terrain with a mobile and distributed layer of invidious privilege, a hypersite where practices and values deeply inimical to any meaningful conception of the common wealth are continuously reproduced.
More insidiously yet, these become laminated into journey-planning and other services when they position Uber alongside other options available to the commuter, as simply another tab or item in a pull-down menu. Ethical questions are legislated at the level of interface design, at the hands of engineers and designers so immersed in the privileges of youth and relative wealth, and so inculcated with the values prevalent in their own industry, that they may well not perceive anything about Uber to be objectionable in the slightest. (Notable in this regard are Google Maps and Citymapper, both of which now integrate Uber as a modal option alongside public transit and taxis, and Apple’s App Store, which lists the Uber app as an “Essential.”) Consciously or not, though, every such integration acts to normalize the Randian solipsism, the fratboy misogyny, and the sneering disdain for the very notion of a public good that saturates Uber’s presentation of its identity.
Where innovations in personal mobility could just as easily be designed to extend the right to the city, and to conceive of on-demand access to all points in the urbanized field as a public utility, Uber acts to reinscribe and to actually strengthen existing inequities of access. It is an engine consciously, delicately and expertly tuned to socialize risk and privatize gain. In furtherance of the convenience of a few, it sheds risk on its drivers, its passengers, and the communities within which it operates. If in any way this offering is a harbinger of the network-mediated services we can expect to contend with in the city to come, I believe we are justified in harboring the gravest concern — and, further, in doing whatever we can to render the act of choosing to book a ride with Uber a social faux pas of Google Glass proportions.
And this is only to consider what is operating in the proposition offered by a single provider of networked mobility services. If there is a distinct set of values bound up in Uber, it is unmistakably enmeshed within the broader ideological commitments all but universally upheld in the conception of the smart city, wherever on Earth the deployment of this particular ensemble of technologies has been proposed. Chief among these are the reduction or elimination of taxes, tariffs, and duties; the concomitant recourse to corporate sponsorship (or outright privatization) of essential municipal services; the deregulation of activity between private actors; and the prioritization of other policies primarily oriented to the needs of classes and sectors within society that benefit from frictionless global trade.
A judicious onlooker might of course wonder what anything on this laundry list has to do with the attributes or capabilities of networked digital systems, but that is precisely the point. As articulated on terrain from Dholera to Rio de Janeiro to New York, we can understand the ostensibly utopian smart city as nothing more than the information-technological aspect of a globally triumphant but still-ravenous neoliberalism — a mask this ideology wears when it wishes to dissemble its true nature and appeal to audiences beyond its existing core of convinced adherents.
Dissecting Uber may help clarify the implications of this turn for those whose life chances are and will continue to be affected by it, but it is the merest start. There remain arrayed before the public for its consideration a very great number of other propositions that belong to the latter two of the smart city’s three orders of visibility, from security systems equipped with facial-recognition capability to networked thermostats to wearable devices aimed at nothing less than quantification of the self. It is these systems in which even the clearest ideological commitments are most likely to be screened or obscured, whether by the seemingly ordinary nature of the product or service or by the very complexity of the distributed technical architecture that underwrites it. Given what is at stake, it’s therefore essential that we subject all such propositions to the most sustained, detailed, and knowledgeable scrutiny before embracing them.
Biddle, Sam. “Uber used private location data for party amusement,” Valleywag, 30 September 2014. Retrieved from http://valleywag.gawker.com/uber-used-private-location-data-for-party-amusement-1640820384.
Bradshaw, Tim. “Uber valued at $40bn in latest funding round,” Financial Times, 4 December 2014. Retrieved from http://www.ft.com/cms/s/0/66a76576-7bdc-11e4-a7b8-00144feabdc0.html.
Carr, Paul. “Travis shrugged: The creepy, dangerous ideology behind Silicon Valley’s cult of disruption,” Pando Daily, 24 October 2012. Retrieved from http://pando.com/2012/10/24/travis-shrugged/.
Constine, Josh. “Uber’s denial of liability in girl’s death raises accident accountability questions,” TechCrunch, 2 January 2014. Retrieved from http://techcrunch.com/2014/01/02/should-car-services-provide-insurance-whenever-their-driver-app-is-open/.
Fink, Erica. “Uber’s dirty tricks quantified: Rival counts 5,560 canceled rides,” CNN Money, 12 August 2014. Retrieved from http://money.cnn.com/2014/08/11/technology/uber-fake-ride-requests-lyft/index.html.
Gibson, William. “New Rose Hotel” in Burning Chrome, Ace Books, New York, 1986.
Graham, Stephen. “Software-Sorted Geography,” Progress in Human Geography, October 2005.
Greenfield, Adam. “Against the smart city,” Do projects, New York, 2013.
Greenfield, Adam. Everyware, New Riders Press, Berkeley CA, 2006.
Hempel, Jessi. “Why the surge-pricing fiasco is great for Uber,” Fortune, 30 December 2013. Retrieved from http://fortune.com/2013/12/30/why-the-surge-pricing-fiasco-is-great-for-uber/.
Huet, Ellen. “Rideshare drivers still cornered into insurance secrecy,” Forbes, 18 December 2014. Retrieved from http://www.forbes.com/sites/ellenhuet/2014/12/18/uber-lyft-driver-insurance/.
Koolhaas, Rem. “The Generic City” in S, M, L, XL, The Monacelli Press, New York, 1994.
Rawlinson, Kevin. “Uber service ‘banned’ in Germany by Frankfurt court,” BBC News, 2 September 2014. Retrieved from http://www.bbc.com/news/technology-29027803.
Reilly, Claire. “Uber reaches 4x surge pricing as Sydney faces hostage lockdown,” CNet News, 15 December 2014. Retrieved from http://www.cnet.com/uk/news/uber-reaches-4x-surge-pricing-as-sydney-faces-hostage-lockdown/.
Said, Carolyn. “Leaked transcript shows Geico’s stance against Uber, Lyft,” SFGate, 23 November 2014. Retrieved from http://www.sfgate.com/business/article/Leaked-transcript-shows-Geico-s-stance-against-5910113.php.
Sandel, Michael. What Money Can’t Buy.
Sharma, Aman. “Delhi government bans Uber, says it is misleading customers,” The Times of India, 8 December 2014. Retrieved from http://articles.economictimes.indiatimes.com/2014-12-08/news/56839680_1_taxi-services-radio-taxi-scheme-customers.
Tran, Mark. “Taxi drivers in European capitals strike over Uber – as it happened,” The Guardian, 11 June 2014. Retrieved from http://www.theguardian.com/politics/2014/jun/11/taxi-drivers-strike-uber-london-live-updates.
The following essay on the instrumented streetscape is one of the oldest surviving passages in The City Is Here For You To Use; parts of what you’re about to read date to 2007 (!). Among other things, this explains why it’s tonally more enthusiastic about the prospect of living in such a city than anything I’d be likely to write from scratch today, and also accounts for the fact that a decent chunk of it bears an unfortunate resemblance to Dan Hill’s great and deservedly foundational 2008 essay “The Street As Platform.” (I like to think my take is sufficiently distinct from Dan’s that it’s still worth publishing as-is, but I’m sure you’ll let me know if you think otherwise.)
Those quibbles aside, I’m pleased with the way it stands up — pleased enough, at any rate, to offer it to you here, now, before any more time goes by. As ever, I hope you enjoy it and find it usefully provocative.
Imagine trying to apprehend everything that happens over the course of a single day, in any of Earth’s great cities: all the flows of matter, energy and information; all the happenstance connections which come into being for a single moment, before passing forever into history; every sensible event which transpires. Even if you could somehow capture all of these passages in a single diagram, how could the result be anything but a writhing hypershape, forever absconding from our ability to comprehend it?
But what if we could perceive the shape of events, even for a moment? Better yet, what if we could somehow decode what it was trying to tell us? What if we could divine the subtle patterns latent in it, haul ashore from this dark sea order, insight…meaning?
Toward the end of his long and productive career, the great sociologist Henri Lefebvre took up just this question, in a project he called “rhythmanalysis.” This was a notion he introduced in an essay called “Seen from the Window,” and a famous passage in which Lefebvre simply stands at his balcony and gives himself up to the tides of the living city.
His view must have been spectacular. From this favored vantage point, he can take up the Centre Pompidou, the Bank of France, the National Archive, “[a]ll of Paris ancient and modern, traditional and creative, active and idle” in a single sweeping gaze. Alongside Lefebvre, we stand at the window long enough to note the diurnal washes of office workers and schoolchildren, the cyclic peaks and troughs of vehicular traffic, the blooms of tourist-friendly mummery in the museum plaza and the slow ebbing of activity into the long stretch of the deep middle night.
This depiction of the great city’s surges and stutters is vivid enough, especially for readers familiar with Paris. But what Lefebvre is trying to call our attention to is what happens when we immerse ourselves in the art of watching. “Seen from the Window” isn’t ultimately concerned with anything that can be captured by a single glance, as much as it is with an order that reveals itself only in time.
What the trained mind perceives in the daily cycling of neighborhood noise and activity, Lefebvre claims, is nothing less than “social organization manifesting itself.” Pushing back against the modernist notion that to see something is to know it completely — a notion which inheres in the very idea of surveillance — “Window” argues that there is a hidden truth of the city, something bound up in patterns of regular activity that unfold only along the t axis: in a word, rhythms. “No camera, no image or sequence of images can show these rhythms,” he insists. “One needs equally attentive eyes and ears, a head, a memory, a heart.”
While it certainly resonates with other attempts to know the city via concerted application of the senses, notably Georges Perec’s lovely 1974 Attempt At Exhausting A Place In Paris, this is something Lefebvre maintains even though “Seen from the Window” apparently postdates a few artifacts demonstrating how much more rewarding this undertaking can be when augmented with appropriate technology. Koyaanisqatsi, for example, which is nothing if not a sequence of images showing the rhythm of urban place and the underlying social order, and an extraordinarily vivid and memorable one at that. Or William H. Whyte’s wonderful 1980 investigations of sidewalk life in New York City, released as a short film called The Social Life of Small Urban Spaces.
It is surely the case, historically, that time-and-motion studies have had unfortunate Taylorist and Fordist resonances, and perhaps Lefebvre was reacting to those in insisting on the primacy of human perception. But Whyte’s work demonstrated that, conscientiously applied, time-lapse photography could reveal patterns of use and activity that would have escaped the unaided human observer; if the value of such techniques wasn’t obvious before his films, it certainly should have been thereafter. So while I’m always tempted to submit to Lefebvre’s passionate humanism, the fact is that any attempt to understand patterns of regular activity in anything as compound in its complexity as a city is likely to fail if the proper tools are not brought to bear on it.
Could it be that we now have access to tools that Lefebvre lacked? Tools that even he might have granted would provide crucial support to his project of rhythmanalysis and, more broadly, other attempts to divine the deeper order in the surging and cycling of things? Certainly those of us with the ordinary endowments of attention and focus have a hard time wrapping our heads around the “organized complexity” Jane Jacobs thought of as emblematic of urban place; I can tell you from long experience that sitting and watching a city, straining to read its traces and signs, is an exercise in head-flexing frustration. I, at least, need help.
Consider that organized complexity, and what it implies about the dynamics of place. In any settlement worthy of the name “city,” a very large number of discrete events will transpire at any given moment. We can think of each as a move in a sprawling, elaborate game — but a game in which every move changes the rules all players must abide by. Each and every event that is seen to occur alters the terms of the shared situation, however incrementally or subtly, and anyone wanting to develop any particularly robust understanding of that situation needs to account for as many of them as possible.
For most of human history, this was well beyond the capabilities of even the most ambitious state, or enterprise. As we’ve seen, however, we are by now collectively well-embarked on the project of installing sensing devices both on our persons, and throughout the urban environment, that can capture these fragile traces before they are lost. These devices operate in a bewildering profusion of registers, and at every scale. They generate the most torrential volumes of data about our bodies, our places, and everything that happens in and between them.
In being uploaded and propagated across a network, the flickering traces of our existence acquire an uncanny persistence. If this persistence isn’t immortality, or anything like it, it is at the very least an extension in time of things we have generally expected to expire and disappear from the world entirely. Whatever is once captured by the network remains available for future retrieval, furnishing us with a repository of collective memory that another French thinker, Bernard Stiegler, thinks of as a “global mnemotechnic apparatus.” And where the flood of sensed impressions easily overwhelms any unaided ability to make meaning of it, we now have access to an array of analytical techniques to help us correlate, synthesize and extract significance from the intake.
Where Lefebvre maintained that only the human eye was capable of registering the city’s rhythms, and only the human heart truly able to make sense of them, we’ve bound ourselves and our cities in a skein of technical mediation that — in this sense, anyway — allows us to transcend the limitations of the merely human. In doing so, we acquire new and almost superhuman capabilities, collectively and individually. We can sift the onrushing flow of events, divine the presence of a signal amidst all the noise, develop a vastly refined understanding of a city’s organized, compound and ramifying complexity…and act upon it.
Lefebvre is gone, but his balcony remains. The city that stretches beneath it is, like all other true cities, a manifold positively shuddering with life and activity at every scale of being. It pulses with flows of matter, energy and information, in patterns that vary from the clockwork-routine to the one-of-a-kind and never-to-be-repeated. What would you miss, if all you could know of these flows was the wedge or cone visible to you during a few hours’ vigil at a window in the 6e?
It’s a few moments before six, on a damp evening in early spring. From Montreuil in the east to Neuilly-sur-Seine in the west, streetlights wink on in a slow wave, as their sensors register the falling dusk. There’s a rush-hour backup approaching the Porte d’Orléans exit on the Périphérique; in front of a BNP Paribas ATM in the Rue de Sèvres, a brief scuffle breaks out between supporters of the Paris Saint-Germain and Olympique de Marseille football clubs. Two friends from Sciences-Po laugh abashedly, as they recognize one another before one of the few tatty multiplexes remaining on the Champs-Élysées — they’re in line to pick up tickets for the 6:15 showing of an American blockbuster. Not far away, in the Avenue Carnot, a flic pins a suspected purse-snatcher to the wall; affecting nonchalance as they wait for a van to come pick them up, he leans into the man’s back, putting all his weight behind the point of his elbow.
A municipal street-cleaner churns slowly through the streets of the Marais, hosing the day’s grit and dust from the asphalt. Across town, on the Boulevard Ney in the 18e Arrondissement, a bored Ghanaian streetwalker seeks shelter from a brief downpour beneath the awning of a pharmacy, her emerald-daubed nails clacking on the screen of her phone as she checks her messages. In the Rue Saint-Honoré, a fashion executive urges her two matched Standard Poodles from the back of the black S600 that has just deposited her in front of her office. An American backpacker on a post-collegiate month abroad strides forth from the marble gate of Père Lachaise with a shoplifted Gide wedged in the cargo pocket of his fatigue pants. And way out in Torcy, there are RER cars being switched in from a siding to the main rail line, bound for Les Halles and the other stations of the center.
In this city, everyone passing by with a mobile phone reveals their location — whether or not the phone is equipped with explicitly locative technology, whether or not the phone is even turned on. Every transaction in the bistros and shops and cafés generates a trail, just as every bus and car and Vélib bicycle throws its own data shadow. Even the joggers in the Bois du Boulogne cast a constant, incrementing tally of miles logged and calories burned.
This is Paris: all of it, all at once. In any previous epoch, all of these events might have transpired unobserved and unmarked — except, perhaps, by a sociologist in the twilight of his life, gazing down from his balcony. Even the most sensitive observer could never hope to witness or impress upon their recollection more than the tiniest fraction of it, however long they watched the city go by. And any information or potential insight bound up in the flow of events fell to the ground like a silent, diffuse drizzle, forever lost to introspection, analysis, and memory.
But now we can trace these flows, at least in principle, and plot them in space and in time. We can turn up latent patterns and unexpected correlations, and in turn suggest points of effective intervention to those with a mind to change. We can determine that there are more rhythms in the living city than even Henri Lefebvre ever dreamed of: anticipations, reversals, slight returns. Stutters, stops, and lags. Doublings and crashes. And we can do this all because of the vast array of data-collecting devices we’ve seeded through the quotidian environment.
Traffic cameras and roadway sensors on the Périphérique log the slowdown, and it shows up as a thick red line splashed across a hundred thousand electronic roadsigns, dashboard navigation units and smartphone screens. Here are the rhythms of daily mobility and, by extension, the broader economy.
The ATM’s security camera captures the precise details of who did what to whom in the scuffle, and when; the identities of the participants can be reconstructed later on, if need be, by a state-sanctioned trawl of the transaction records. (Those identity files will almost certainly note an individual’s allegiance to a particular football club.) As with the traffic, here too we can begin to make correlations, mapping outbreaks of aggression against other observed phenomena — the league schedule, perhaps, or the phase of the moon, or the unemployment index. Or even something comparatively unexpected, like the price of discount-airline tickets. Here are the rhythms of collective mood.
The friends so embarrassed to run into one another at a superhero movie? They reserved their tickets online using their phones, and in so doing broadcast their choice for all to see, at least in aggregate; they might be surprised to learn that those who purchase tickets in this way in the streets around their campus appear to have a marked fondness for Hollywood action flicks. Here are correlated geographical patterns of socialization and consumption, and the rhythms of media consumption.
The Avenue Carnot is nowhere to be found in any official record of the bag-snatching incident. In all the relevant entries, the offense is associated with the location where it was reported, a few blocks away in the rue de Tilsitt, and so that is how it shows up in both the Mairie’s statistics and a citizen-generated online map of risk in Paris; in fact, this kind of slippage between an event that happens in the world and the event’s representation in the networked record is routine. But the arrogant insouciance of the arresting flic’s posture bothers a lycée student passing by, who snaps a picture with her phone and submits it, time- and location-stamped, to the Commission Citoyens Justice Police, a civilian review board. In this constellation of facts, we can see something about the frequency with which particular kinds of crimes are committed in a given location, the type and density of policing resources deployed to address them, and the frictions between the police and the communities in which they operate. Here, then, are the contrapuntal rhythms of crime, its control and the response to that control.
The nature of the streetwalker’s trade could perhaps be inferred from the multiple daily orbits her cellphone describes between her regular patch on the sidewalk and a cheap rented room nearby. If not this, then her frequent purchases of condoms would certainly help to flesh out the picture, even though she pays cash for them — the pharmacy she buys them from retains a service that uses each phone’s unique IMEI number to track customers’ trajectories through the store, and this service maps her path to the Durex display with unerring precision. Here in these ghostly trails are the rhythms of the informal economy, surfacing through seemingly innocuous patterns of fact. (Her phone calls home to Ghana, like the tens of thousands of other calls mediated monthly by the base stations of the 18e, to Nigeria and Sierra Leone, clarify not merely how deeply interconnected any city is with others, but specifically which neighborhoods within them are most associated with other places on Earth. Here are the rhythms of global mobility, global migration and, inevitably, global exploitation.)
The streetcleaner, of course, has a GPS transponder; its moment-to-moment route through the city is mapped by the Mairie itself, and provided to citizens in real time as part of a transparency initiative designed to demonstrate the diligence and integrity of civil servants (and very much resented by the DPE workers’ union). Unless prevented from happening — should those workers, for example, happen to go on strike, or a particularly rowdy manif break out — here are the metronome-reliable rhythms of the municipal.
The fashion executive had her assistant reserve a car online some weeks ago, and so while there’s certainly something to be inferred from whether she splurged on the S600 as usual, or economized with a cheaper booking, there’s probably some lag in what it signifies. (Even if the car hadn’t been booked on the corporate account, it is also, of course, equipped with GPS, and that unit’s accuracy buffer has been set such that it correctly identifies the location at the moment it pulls up to the curb with the name of the house the executive works for.) Here can be gleaned solid, actionable business intelligence: both the cycling of particular enterprises and sectors of the economy, and by extension possibly even some insight into the rhythms of something as inchoate and hard to grasp as taste.
What might we learn from the American backpacker? The pedometer app on his phone is sophisticated enough to understand his dwell of eleven minutes in a location in the Rue de Rivoli as a visit to the W.H. Smith bookstore, but other facets of his activity this day slip through holes in the mesh — that boosted volume of Gide, notably, which will remain an unexplained lacuna on the bookstore’s inventory-tracking software. And, bizarrely, his few hours contemplating greatness and mortality in Père Lachaise, which resolve against a flaky location database as having been passed instead in the aisles of a Franprix market a few blocks to the east. (Indeed, so often does this same error happen that after a few months, the Franprix starts getting recommended to other tourists as a destination frequently visited by people like them, and enjoys a slight but detectable bump in revenues as a result. The manager is pleased, but mystified.) Here are the rhythms of contingency and chance and stochastic noise.
And each commuter passing through the turnstiles of the RER at day’s end, each of them the increment of a register in the capacity-management systems of the RATP, clarifies the contours of one final picture. The city’s population at 4 AM may be half what it is at 4 PM, revealing the true Paris as something that has only a casual relationship with its administrative boundaries. Here is the rhythm of the city itself.
Where previously everything that transpired in the fold of the great city evaporated in the moment it happened, all of these rhythms and processes are captured by the network, and retained for inspection at leisure. We can readily visualize basins of attraction or repulsion, shedding light on the relationships between one kind of flow and another, and in so doing perhaps learning how to shape their evolution with a lighter hand.
By the same token, though, that which had been liminal becomes clear; what was invisible is made self-evident, even painfully obvious; the circumstances we generally prefer to ignore or dissemble stand forth, plain as day. The embarrassing, the informal, the nominally private and the illegal become subject to new and perhaps untenable kinds of scrutiny. The gaze of the state intensifies — but the state may find, to its surprise, that its subjects have many of the same capabilities, and are gazing right back upon it.
On this evening in the City of Light, a hundred million connected devices sing through the wires and the aether. Of the waves that ripple through the urban fabric, at whatever scale, very few escape their ken — escape being captured by them, and represented in bursts of binary data. Enciphered within are billions of discrete choices, millions of lives in motion, the cycling of the entire economy, and, at the very edge of perception, the signs and traces of empire’s slow unwinding.
This is a city Lefebvre never saw from his balcony, and never could — any more than Henry Mayhew could have, in looking down on the wild scrum of Victorian London from the parapet of St. Paul’s, or any observer of any of the great cities of history would have been able to, no matter the perspicacity they brought to the task. It’s ours, the one we live in.
What might we do with it?
I’m beyond honored to have had this piece — a love letter to London and its maps — commissioned for the launch issue of the revived Journal of the London Society. I hope you enjoy reading it as much as I did writing it. For the record, the impeccable choice of title was theirs.
I very much doubt that there is a city on the face of this Earth better mapped, over a longer period of time — nor more potently associated with the image of the map, as cultural and practical artifact — than London.
I’m sure some of the reason behind this stems from the need to assert administrative control, assess taxation and clarify property rights across a bewildering profusion of boroughs, wards, parishes, liberties, districts and councils. Part of it, certainly, arises from the way in which successive mobility technologies have allowed the city to colonize the land — sprawling its way across terrains and conditions, levering itself ever outward via rail lines and motorways, until the area within the ambit of the M25 subsumed a not-inconsiderable chunk of the British landmass.
But a great deal of this history is driven by history itself. Over the two thousand years of its documented existence, the physical fabric of London has blithely folded everything from animal trails and Roman roads to the Abercrombie Plan and the Westway into its network of connections. As a result, this is, at its core at least, a topologically ornery city. It is a place threaded with byways that admit to no obvious exit, that continue past a nodal point only under some other name (and therefore bear multiple designations within the space of a few dozen meters), that deposit the pedestrian somewhere, anywhere else than wherever reason and intuition suggest they might. Saffron Hill, Newman Passage, Johnson’s Court, the increasingly (and, it must be said, distressingly) salubrious alleys of Soho — you can walk these thoroughfares half a hundred times, and still not quite remember how they link up with the rest of the city. Or even, necessarily, how to find them again the next day.
At the same time, of course, London is a city of roundabouts, flyovers and gyratories, of circuses and viaducts and junctions — a city that was already thoroughly reticulated by bus routes and Tube lines before anyone now living was born. With each new layer, its complexity increases in a way that is not additive, but multiplicative. But if all of this is undeniably the case, it’s also true that you can wake up one morning to discover that the tramways have been pulled up, that Charing Cross Road no longer quite connects with Tottenham Court Road, that someone’s proposing to turn Elephant & Castle roundabout into a peninsula. The confoundments threaten to spiral out of control. So whether they avail themselves of one via the enameled surface of a Legible London plinth, an app on their phone, or for that matter the Knowledge so splendidly immanent in the comparably complex network of neurons in a cabbie’s head, the would-be reckoner with London needs nothing so much as a chart, a guide. A map.
So equipped, one can finally negotiate the city with relative ease. But navigation is by no means the only thing we use maps for. It’s long been understood that cartographic tools can help us better comprehend some state of the world, and even allow us to make effective interventions.
As it happens, this kind of spatial analysis was born right here in London. When John Snow tallied deaths in the 1854 Soho cholera outbreak on a map, he made manifest a pattern that had previously eluded even the most conscientious ledger-based tabulation: that peak mortality clearly centered on the Broad Street water pump. Armed with this evidence, Snow famously petitioned the parish Board of Guardians to remove the pump handle, which they did the next day, stopping the epidemic in its tracks. It was a landmark moment for both epidemiology and geographic information systems — and it would not be the last time in the history of London that a map proposed an intervention.
Though a great deal more impressionistic than Snow’s fastidious chart, Charles Booth’s poverty maps of late-Victorian London are almost as granular, delineating among seven increments of socioeconomic status as they varied block to block, and occasionally house to house. Though Life and Labour of the People in London, the magnum opus in which they appeared, must be given the lion’s share of the credit — and this is to say nothing of Booth’s apparently indefatigable organizing — it’s generally acknowledged that the maps themselves were critical for catalyzing the sense that something had to be done to redress abject want in the city, perhaps by conveying its true extent in the backstreets and rookeries only rarely penetrated by the respectable classes. (The blithe ignorance these classes nurtured for their own city was truly impressive. In 1855, the London Diocesan Building Society had described the East End to its subscribers as being “as unexplored as Timbuctoo,” which must have come as some surprise to the hundreds of thousands of Cockneys living there.)
In their way, Booth’s maps were as effective as Snow’s in driving change in the world. The response, when it came, may not have been quite as elegant or as precisely targeted as the removal of a single pump handle, but its impact was undeniably felt at a larger scale. When Parliament authorized the first Old Age Pension in 1908, Booth’s work was widely regarded as having been instrumental to the effort aimed at securing its passage.
Here we get some sense of the power of a geographic data visualization. By judiciously folding complex urban dynamics back against the ground plane, maps like these help us comprehend circumstances that may well be transpiring beneath or beyond the threshold of unaided human perception, in space or time or both. They are, quite literally, consciousness-altering.
In all the long history of mapping the great metropolis, though, it’s arguable that no single map did more to change the ordinary Londoner’s perception of urban space than Harry Beck’s original Underground diagram of 1933. In reckoning with the burgeoning complexities of a then relatively new addition to the city’s network of networks, Beck’s map emphasized the experiential truth of urban space over the geographically literal. As anyone who’s ever hoofed it between Angel Station and Old Street can tell you, the overland distance between any two contiguous stations bears only the slightest resemblance to the proximity implied by the Beck schematic and its many descendants.
The distortions pull in both directions. With only the Tube map to rely on, someone unfamiliar with the topography of central London might well conclude that it’s entirely reasonable to take the Tube from Bank to Liverpool Street, or from Borough to London Bridge, when the former is at worst a nine- and the latter a ten-minute walk. (And don’t get me started about vertical distances. At Angel Station, the system’s deepest, it can take the rider a good five minutes just to get from turnstile to platform.)
But these gross displacements, however grievously they might afflict the small but vocal contingent of people who care passionately about such things, are entirely beside the point. For all its compressions, expansions and improbably crisp 45-degree angles, the map is impeccably accurate in reflecting the way Tube riders actually perceive the space of the city, as it unspools a few dozen meters above their heads. Rely on it often enough for long enough, and you too may find — to paraphrase Edward Tufte — that the map organizes your London.
For someone more than casually fond of both London and maps, it’s inordinately pleasing that these landmarks in cartographic history are all also part of the story of this particular place on Earth. You can go and visit the very places that John Snow and Charles Booth mapped any day of the week, using the system that Harry Beck described with his map.
We are, however, safe in considering all of this history mere preamble, however glorious it may be. I believe that at this moment in time, we are collectively experiencing the most significant single evolution in mapping since someone first scratched plans on papyrus — for one relatively recent and very simple development, made possible by the lamination together of three or four different kinds of technology, has completely changed what a map is, what it means, and what we can do with it.
It’s this: that for the very first time in human history, our maps tell us where we are on them.
Nothing in all my prior experience of maps prepared me for the frisson I experienced the first time I held an iPhone in my hand, launched Google Maps, pressed a single button…and was located, told where I was to within a very few meters. When you realize that, already, some 30% of the adults on the planet own a device that can do this, that this audience already greatly outnumbers all the people who ever consulted an A-Z, a Thomas Guide or a friendly green Michelin volume put together, you begin to understand just how dramatically the popular conception of cartography is evolving. Those who come after us will have a hard time imagining that there was ever such a thing as a map that couldn’t do that.
The fact that such depictions can now also render layers of dynamic, real-time situational information — traffic, weather, crime and so on — seems almost incidental compared to this. The fact of locability, in itself, is the real epistemic break. It subtly but decisively removes the locative artifacts we use from the order of abstraction. By finding ourselves situated on the plane of a given map, we’re being presented with the implication that this document is less a diagram and more a direct representation of reality — and, what’s more, one with a certain degree of fidelity, one that can be verified empirically by the simple act of walking around.
I’d argue that this begins to color our experience of all maps, even those that remain purely imaginary. We begin to look for the pulsing crosshairs or the shiny, cartoonish pushpin that says YOU ARE HERE. The ability to locate oneself becomes bound up with the meaning of any representation of space whatsoever.
And it has profound pragmatic consequences, as well. It means that our maps can do real work for us. Typical of this is the online service Citymapper. Fed real-time information by TfL via a series of conduits called “application programming interfaces,” or APIs, Citymapper constitutes nothing less than a set of keys to the city, accessible to anyone with a smartphone and a data plan. It effortlessly tames what is otherwise the rather daunting perplexity of the street network, divining a nearly-optimal path through all those closes and courts and alleys, or suggesting just what combination of buses and trains you’d need to cobble together to get from, say, Stoke Newington Common to Camberwell Green.
Again, here London is different from other places. Though Citymapper offers versions for New York and Berlin, Paris and Barcelona, the utility of each is hampered by the limitations placed on it by those cities’ respective transit authorities. In my experience, no metropolitan transit agency in the world provides APIs as robust and thorough as those offered by TfL, and as a direct result Citymapper and its competitors are more useful here than they are just about anywhere else.
Happily, buses and Tube trains aren’t the only ways of getting around that are enhanced by the new interactive cartography. The networked maps so many of us now rely upon transform the practice of walking, too. The way in which access to real-time locative information enhances one’s sense of security in exploring the city is beautifully expressed by the London-based technologist Phil Gyford: “I can quickly see that my destination might be only 25 minutes’ walk away, and I know I’ll be going the quickest route, and GPS will ensure I won’t get lost halfway there. Somehow walking now seems more viable and less uncertain.” What this opens up, even for the longtime resident, is the prospect of exploring a city they never knew, though it may have been separated from them more by habit and uncertainty than any physical distance. Gyford now feels free to wander “the overlooked parts of London…the neglected seas between the Tube-station islands”; somewhere, the worthies of the London Diocesan Building Society breathe a sigh of satisfaction before returning to their deep slumber in the earth.
That we are becoming — that some of us have already become — so intimately and thoroughly reliant on our maps to guide us safely through the urban thicket makes it more important than ever that we regard them critically. Though we know intellectually that the map is famously not the territory, the emotional truth of this can be harder to internalize; we’ve all seen news stories about truck drivers following their satnav directions straight into a lake, or a wall. We need to get in the habit of asking pointed questions about who makes the maps, who chooses the information that is rendered upon them, and where that information comes from in the first place.
We might also attend to the deeper truths about the city we live in that are brought to light by this class of representations. Consider the dynamic visualizations of the Milan-based transportation-planning practice Systematica. In their time-series map of London, peristaltic pulses of expansion and contraction wash across the familiar terrain, revealing what we’ve always known to be the case: that at no hour of the day is the actual city coextensive with its formal, administrative boundaries. Though the human presence must still be inferred from these abstract surges of color, the message is unmissable: for all the grandeur of its physical fabric, the deep London is nothing more or less than the people who move through it, animate it and endow it with meaning.
This, in the end, is not such a bad lesson to derive from contemplating the play of pixels on a screen. If, as the disgraced geographer Denis Wood puts it, all “maps are embedded in a history they help construct,” this is true of maps of this city more so than most. And if we know that London, this gorgeous hypersurface, is forever absconding from the knowable, and can never be entirely reduced to a set of lines and points and paths, this doesn’t necessarily imply that there is no point in making the attempt. Perhaps, as with those of John Snow, Charles Booth and Harry Beck, the maps of Citymapper, Systematica and their descendants may yet help bring a safer, wiser, more just and merciful city into being.
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.
Hey there! It’s been awhile since I’ve shouted at ya properly, and I’m going to be MIA for just a little longer yet (having stupidly locked myself into back-to-back-to-back-to-back trips to Dublin, Manchester, Aarhus & NYC, and finding myself rather burnt to the ground as a result). In the meantime, I thought I’d give you a brief idea of what I’ve been thinking about lately, and what kinds of questions I’ll be taking up over the next few months.
I’ll warn you from the outset that everything that follows is both speculative, in that it reflects hints, notions and potential trajectories more than fully coherent and robustly worked-out arguments, and overdense, in that it alludes to more lines of thought than I can properly treat at any length you’d tolerate in a blog post. Bear with me anyway and hopefully we’ll get somewhere interesting together.
This year’s model
More than a few of you have asked just what it is that I’m up to here at LSE. My research project is fairly open, but I think it’s fair to describe it as a consideration of the perennial urbanist themes of land use, mobility and governance, as they fold back against an environment and population whose capacities and affordances are increasingly conditioned by the presence of networked computational systems.
Roughly, I’m asking: given the presence of these systems, how might we use them to (a) help allocate common spatial resources in such a way as to ensure the most socially productive use of the available space; (b) underwrite the greatest ability of all to participate personally and physically in all the circuits of exchange that constitute the city; and (c) assist communities in making wiser, more responsive and more widely agreed-upon decisions regarding these and other matters before them? And how do we do all of these things in a way that respects, supports and makes the most use of our existing competences for the city — that skillful negotiation of the world and its prospects that big-city folks have been known for since time out of mind?
Big questions, obviously, and what’s (I hope) equally obvious is that I make no pretense whatsoever of essaying neutral answers to them. With regard to the first of these topics, for example, it ought to be evident that my notions of “most productive use” bear very little resemblance to the argument from revenue-generation potential that furnishes most contemporary redevelopment schemes with their primary justificatory apparatus, and which as of this writing appears to have hollowed out any hope that the so-called “sharing economy” might give rise to radically different ways of working and living together.
As I’ll explain in greater detail below, it’s what happened to the early promise of a networked sharing economy that haunts me as I prepare to propose new configurations for convivial systems. For all the utopian hope that may have attended their arrival, I think by now it’s clear that all too many existing coworking and “maker” spaces orbit venture-financed technology startup culture too closely, badly underfulfilling their potential and reproducing conditions I have no interest in perpetuating. That I can see, they have broadly failed as alternative spaces in which we could shelter from the invidious operations of consumer-phase capital, rediscover some sense of ourselves as skilled and competent agents and reclaim responsibility for the furniture of our world. Meanwhile, other potentially transformative models, like those on which Zipcar and AirBnB are founded, seem to have been placidly, even hungrily absorbed into the extant framework of neoliberal assumption.
Signs, pointers and portents
Readers of “Against the smart city” (in Kindle or POD pamphlet editions) know that I don’t place any particularly great faith in existing institutions’ capacity (or willingness) to address these circumstances. I go into a fair amount of detail, in fact, to spell out just why I think the “smart city” is such a disastrously misguided conception of the role of networked information technology in our urban places and our lives. At the same time, though, I do think it’s incumbent upon anyone levying such a critique to articulate at least some affirmative vision of what they would like to see happen in the world.
So what do I believe more satisfying, more fructifying alternatives might look and feel like? And what do I think are some ways of using networked technologies capable of encouraging conceptions of the relation between self and society that are a little less atomic — that are, in other words, less Californian-ideological and more oriented toward commonwealth?
In the following months, I’ll be sketching out at least the basic contours of a vision of urban living and working that responds to these questions. In particular, I’m interested in elaborating the outlines of a post-growth, near-steady-state industrial permaculture in city centers, autonomously and locally managed, undergirded by networked systems of deliberation, resource stewardship, mobility and exchange. This is a vision of localism in which flows of matter and energy circulate in a carefully-maintained dynamic equilibrium; communities produce most of the things (and skills, and affects) they need to survive in an unstable world; and sensitive onshoring brings compact, clean sites of precision manufacture and production back into the urban fold, undoing the supply chains of continental and oceanic scale and the ludicrous energetic, environmental and human costs they entail. We learn, once again, to work in atoms as well as bits; we do so together; and in doing so, we focus on the creation of real prosperity in the absence of economic growth.
For a variety of reasons, it’s important to me that I ground everything I’ll be proposing in empirical observations of events and situations that have some track record of functioning successfully. As it happens, some hints of what aspects of this vision might look like in practice do crop up in three very different existing projects/processes I’m aware of: Madrid’s Campo de Cebada; the Godsbanen/Institut for (x) complex, in Aarhus, Denmark; and finally a commercial enterprise called Unto This Last right here in London. Each of these sites has something to teach us, and in some ways I think of each of them as a dress rehearsal for a best-case future.
Campo de Cebada: Community control
At el Campo de Cebada, a fenced-off 60,000 sq ft lot in the heart of Madrid — formerly the site of a market, seemingly doomed to persistent vacancy by the economic crisis of 2008 — was reclaimed and transformed into a community resource by the neighborhood’s residents themselves.
After securing physical access, but before anything was built on the lot, a core group of local activists (including members of the Zuloark architectural collective) convened a series of weekly open assemblies, organized on bedrock principles of transparency, openness and participation. Residents and other interested parties were asked to propose, weigh and decide upon the programs, structures and activities the site should support. And so what had been more or less an abandoned site came under autonomous community control, using horizontal, leaderless processes very similar to those that proved so successful in the Occupy movement (including Occupy Sandy, as I describe here). It was under this informal and only retroactively sanctioned process of management that the space finally began to generate meaningful value for its users and neighbors. (At this point it may be worth noting that Spain has a robust history of anarchist practice, though it would also be something of an sublime understatement to point out that Madrid was not historically the heart of this activity.)
Both public assemblies and other, more casual activities on the site notably rely upon rapidly reconfigurable/demountable pallet-based furniture designed by Zuloark, similar to that Raumlabor Berlin has deployed in their pop-up public spaces in the past. (Such furniture also suggests a slow percolation of open-source hardware design and construction schemas like OpenStructures, a central theme of year-before-last’s tremendous Adhocracy show.) But it would be a mistake to identify the lesson of el Campo de Cebada with its physical tokens. Like the community gardens of New York’s Lower East Side, or more recently 596 Acres, what its success suggests is that ordinary, nonspecialist people are more than capable of taking on responsibility for maintenance, deconfliction and the other less glamorous aspects of administering and operating any such site, in the very core of a world city of the long-developed North — and to do so not in response to an environmental shock like Katrina or Sandy, but as a (dare I say “entrepreneurial”) way of grasping the emergent opportunities that lay curled up fractally inside the slower processes of economic calamity.
What the people behind el Campo de Cebada have forged together is, in essence, an Occupation that is affirmative rather than merely critical, productive and forward-looking as well as polemical. What their experience teaches us is that we can reimagine and reconfigure the sacrifice zones left behind by the reigning calculus of land valuation, grasping and making maximum use of them as a collective resource, in a maximally inclusive way.
Godsbanen/Institut for (x): Gradient of engagement
In Aarhus, my host Martin Brynskov took me for a walk around the publicly-funded Godsbanen production space/event venue, and the curious Institut for (x) that partially overlaps it. These institutions occupy a scatter of buildings lying at the end of a decommissioned rail spur that thrusts up into the heart of town, and the hour we spent walking over, around and through them began to suggest a particularly potent hybridization: autonomous self-management in the style of el Campo de Cebada, fused to the provision of standing community workshops and production facilities.
To my eye, anyway, Godsbanen consists of four distinct structures or conditions: the former railyard administration building, now the offices of various public, private and non-profit groups; a long main hall that was formerly the intermodal freight-transfer center, and now shelters the printshop, photo studio, metalshop and so on; a new infill structure (complete with vertiginously climbable roof) by 3XN, that comprises the event venue and canteen, and sinters the other buildings together; and a tumble of trailers, ad-hoc shacks, shade structures and lean-tos that apparently constitute the Institut for (x).
What was wonderful about Godsbanen was seeing men and women both — of all ages, very few of whom were obviously hipsterized — using the available wood-, metal-, clay- and textile-working facilities to make things for their own daily use. It’s this deployment of emergent digital craft techniques to produce things primarily with an eye to their use value rather than their exchange value à la present-day Etsy that so excited me.
But there are other ways in which Godsbanen one-ups the usual makerspace proposition. For example, the site sports a legible gradient of formality and structure, accessible at any point and traversable in either direction; you can literally see the stiff Scandinavian rectitude of the administration building decomposing into particles as you walk further down the rails, with everything that implies for uses and users. Martin pointed out that the complex supports two entirely distinct woodworking shops, one at either end of the gradient: the first (low-cost, but still pay-for-use) furnished with state-of-the-art equipment and on-site assistance, and the other, further down the yard, free but provided with somewhat older equipment and not much in the way of help/oversight. A project could germinate with two or three friends tinkering in the anarchic fringes, and move up the grade as they began to need more budget, order and privacy, or, alternately, a formal enterprise used to the comforts and constraints of the main building might hive off an experimental or exploratory activity requiring the freedom of the fringes. Either way, individual or collective undertakings are able to mature and develop inside a common framework, and avail themselves of more or less structure as needed. This is something that many self-styled incubators attempt, and very few seem to get right.
The further away one walks from the main building, the greater the sense of permission granted by the apparently random distribution of objects around the central space, by the texture of these objects and their orientation. This is of course not at all random: everything you see has been selected with an eye toward a precisely calibrated aesthetic that at times comes perilously close to favela chic, but that does send a very powerful message about the appropriability of the environment, the kinds of things people can do here and the kinds of people who can do them. (Note that this is the same message ostensibly conveyed, but actually undermined, by the “wacky,” infantilized furniture of dot-com and tech-startup offices.)
This aspect of legibility, or performativity, strikes me as being nontrivially important to the success of the Godsbanen project. What fifty or more years of spectacular consumerism have left us with is the need to be seen to be doing what we do, as a performance of self, identity and affiliation. What participation in a place like Institut for (x) gives its user-constituents is a way to achieve that end without it necessarily being commodified. Citizens are making a very deliberate statement by participating here, and being seen to participate: a statement of value that remains outside the register of consumer capitalism, without necessarily being overtly, consciously or uncomplicatedly in opposition to it.
My sense is that Aarhus has figured out something sensitively dependent on a whole lot of boundary conditions — something that municipalities around the planet are falling all over themselves trying to reinvent, and generally missing by a country mile. Their success has something to do, certainly, with the fact that Denmark can find funds in the public purse to support this kind of activity, and just as certainly with the fact that a coherent fabric of trust yet persists in Danish culture of the everyday.
But it owes even more to some very canny spatial and social thinking. What the Aarhus experiment teaches us, among quite a few other things, are how to organize space so its legibility serves its users rather than the prerogatives of territorial control, and that many of the material things we need in life we can learn to make for ourselves.
Unto This Last: Local production, training and employment
Which brings us to Unto This Last, a commercial furniture manufacturer that has been operating in London’s Brick Lane for the past thirteen years. Their product line — a reasonably wide selection of chairs, tables, beds, bookshelves and storage units — displays a total coherence from conception all the way through design, fabrication method and setting to delivery. Each piece has been carefully designed so that it can be assembled from flat pieces cut from sheets of sustainably-grown birch plywood, by a CNC cutter right in the back of the shop. (Swing by at the right time, and you can see it in action, cutting components of the piece that you yourself will take home and weave into your life.) The shop’s ethos of “less mass, more data” rather takes the logistics-friendly Ikea flatpack concept to a new level.
There are, inevitably, issues. While I personally rather like it, it’s clear that the stripped-down aesthetic (ably conveyed by the store’s iconic sign) isn’t for everyone. And ideally trees yielding wood suitable to this kind of application could be grown within the local bioregion, rather than being shipped from the (state-owned and -managed) forests of Latvia.
Nevertheless, alongside other, slightly differing initiatives, like the wonderfully-named Assemble & Join, what Unto This Last teaches us is how to wrest the greatest practical, economic and (as we’ll see) social value from the minimum investment in matter and energy.
In the fusion of each of these three archetypal processes, el Campo de Cebada, Godsbanen and Unto This Last, we can see the outlines of something truly radical and terribly exciting beginning to resolve. What can be made out, gleaming in the darkness, is a — partial, incomplete, necessarily insufficient, but hugely important — way of responding to the disappearance of meaningful jobs from our cities, as well as all the baleful second-order effects that attend that disappearance.
When apologists for the technology industry trumpet the decontextualized factoid that each “tech” job ostensibly creates five new service positions as a secondary effect, what they neglect to mention is that the lion’s share of those jobs will as a matter of course prove to be the kind of insecure, short-term, benefits-lacking, at-or-close-to-minimum-wage positions that typify the contemporary service sector. This sort of employment can’t come anywhere close to the (typically unionized) industrial-sector jobs of the twentieth century in their capacity to bind a community together, either in the income and benefits they produce by way of compensation, in the conception of self and competence they generate in those who hold them, or in the sense of solidarity with others similarly situated that they generally evoke.
At the same time, though, like many others, I too believe it would be foolish to artifically inflate employment by propping up declining smokestack industries with public-sector subsidies. Why, for example, continue to maintain Detroit’s automobile manufacturers on taxpayer-funded life support, when their approach to the world is so deeply retrograde, their product so very corrosive environmentally and socially, their behavior so irresponsible and their management so blitheringly, hamfistedly incompetent? That which is falling should also be pushed, surely. But that can’t ethically be done until something of comparable scale has been found to replace industrial manufacturing jobs as the generator of local economic vitality and the nexus of local community.
So where might meaningful, valued, value-generating employment be found — “employment” in the deepest sense of that word? I have two ways of answering that question:
– In the immediate term, I believe in the material and economic significance of digital fabrication technologies largely using free and open-source plans, deployed in small, clean, city-center workshops, under democratic community control. While these will never remotely be of a scale to replace all the vanished industrial jobs of the past, they offer us at least one favorable prospect those industrial jobs never could: the direct production of items immediately useful and valuable in one’s own life. Should such workshops be organized in such a way as to offer skills training (perhaps for laid-off service-sector workers, elders or at-risk youth), they present a genuinely potent economic and social proposition.
There are provisos. The Surly Urbanist correctly suggests that any positions created in such an endeavor need to be good jobs, i.e. not simply minimum-wage dronework, and my friend Rena Tom also notes that the skills training involved should be something more comprehensive than a simple set of instructions on how to run a CNC milling machine — that any such course of instruction would be most enduringly valuable if it amounted to an apprenticeship first in the manual and only later the numeric working of materials. I also want to be very clear that, per the kind of inclusive decision-making processes used at el Campo de Cebada, such a workshop would have to be something a community itself collectively thinks is worth experimenting with and investing in, not something inflicted upon it by guileless technoutopians from afar.
– In the fullness of time, I believe that the use of relatively high-technology techniques to accomplish not merely the local, autonomous production of everyday objects, furnitures and infrastructures, but their refit and repair, will come to be an economically salient activity in the global North. In this I see a congelation of several existing tendencies, logics or dynamics: the ideologically-driven retreat of the State from responsibility for stewardship of the everyday environment; the accelerating attrition and degradation of the West’s dated and undermaintained infrastructures, and their concomitant need for upgrade or replacement; increasing belief in the desirability of densifying urban infill; the rising awareness in the developed world of jugaad, gambiarra and other cultures of repair, reuse and improvisation; the emergence of fabricator-enabled adaptive upcycling; the circulation of a massive stock of recyclable componentry (in the form of obsolescent structures as well as landfill-bound but effectively nondegradable consumer items), coupled to the emergence of a favorable economics of materials recovery; broader experience with and understanding of networked, horizontal and leaderless organizational structures; the creation of a robust informational commons, including repositories of freely-downloadable specifications; and finally the clear capability of online platforms to facilitate development and sharing of the necessary knowledge, maintain some degree of standardization (or at least harmonization) of practice, suggest sites where citizen repair might constitute a useful intervention, and support processes of democratic decision-making.
On forgetting to slay the dragon
Especially when they’re of industrial grade, the 3D printers, laser cutters, CNC milling machines and other devices involved in digital precision manufacture are highly visible and — if you’ve ever seen one in operation, you know it’s true — coldly glamorous, possessed of the same eerie machinic grace and certainty that makes the flight of quadcopter drones such an uncanny thing to witness. Nor are fabricated things themselves without a certain evocative power. In a dynamic we should all be familiar with by now, and deeply suspicious of, the discrete printed object is often taken as not merely a sign standing for a complex underlying process, but accepted as a unremarkable replacement and stand-in for it. Thus we see an efflorescence of on-demand mall and High Street “fab labs” apparently dedicated to churning out novelty items of puissant symbolism, but little actual utility: personalized busts, complex gear trains that will never be connected to any other mechanism, and similar dead ends and blind alleys.
I certainly do not mean to fetishize the new production. What I do mean to suggest is that we’ve barely taken the measure of these networked, decentralized, distributed technologies of material production as economic and social enablers. The same techniques that generated kipple of the sort I describe above have clearly already transcended the hobbyist stage, having recently been used to rapidly produce and assemble objects of architectural scale and intent. (If anything, this impressive performance was underhyped; as Fred Scharmen points out, the designers/fabricators responsible for the Shanghai development “don’t have press agents, they didn’t make a rendering, they didn’t even post any photos or concepts until after they did it.”)
But neither are the technologies themselves really the point here. In everything I suggest above, the act of production is — comparatively, and for all its many rigors — the trivially easy bit. The challenge isn’t, at all, to propose the deployment of new fabrication technologies, but to deploy them in modes, configurations and assemblages that might effectively resist capture by existing logics of accumulation and exploitation, and bind them into processes generative of lasting and signficant shared value. This is the infinitely harder project of weaving all of these technologies into not merely “sustainable” but actually sustained practices and communities of practice.
My mistake in the past — and, in retrospect, it’s an astonishingly naïve and determinist one — was to think that emergent networked forms of shared resource utilization might in themselves give rise to any particularly liberatory politics of everyday life. Experience has taught me that such notionally transformative frameworks as do arise very readily get appropriated by existing ways of valuing, doing and being; whatever “emancipatory potential” may reside in them swiftly falls before path dependency and the weight of habit, and the gesture as a whole comes to nought.
This is what appears, for the time being anyway, to have fatally undermined the more interesting prospects for conceiving of space as a shared network resource, the cluster of practices I think of as treating “space as a service.” Consider what’s become of my original argument that the companionable coexistence of AirBnB and Couchsurfing.org implied enough space for a (non-corporate but robustly) commercial business model and a fiercely noncommercial service model to subsist side-by-side, even as they brokered access to the same resource: fast-forward three years, and AirBnB looks more and more like a formal branch of the hospitality industry with each passing day, while Couchsurfing has — fumblingly, and much to the chagrin of its original animating community — reinvented itself as a for-profit competitor.
The dynamic here puts me in mind of a thought expressed succinctly by David Harvey in his new, and excellent, book Seventeen Contradictions and the End of Capitalism:
The long history of attempts to create some such alternative (by way of worker cooperatives, autogestion, worker control and more latterly solidarity economies) suggests that this strategy can meet with only limited success…If the aim of these non-capitalistic forms of labor organization is still the production of exchange values, for example, and if the capacity for private persons to appropriate the social power of money remains unchecked, then the associated workers, the solidarity economies and the centrally planned production regimes ultimately either fail or become complicit in their own self-exploitation.
Also sobering is how very often over the past few years “disruptive innovation” in services has been attended by the worst sort of triumphalist douchery on the part of the already-privileged beneficiaries of the ostensible disruption. I think of the tellingly-named Uber, explicitly positioned as an outright celebration of the “self-made” Randian superman’s differential ability to route around urban infrastructural, bureaucratic and regulatory failure, in a world where his social and economic lessers are reduced to relying on defunded, dysfunctional, all-but-dystopian public transit. Uber’s self-serving rhetoric casts any regulation of their service as unwonted friction imposed by meddlesome rent-seekers, when that fabric of regulation was for the most part woven into place for good and sufficient reason.
As if these disappointments weren’t enough to chasten me from making assertions about propensities and likelihoods, not too long ago Anil Bawa-Cavia (rightly, I think) poked back at something I’d said regarding the “latent and unrealized emancipatory potential” of certain technologies:
I don’t see any reason to believe that any technology has a pre-inscribed ‘potential’ that remains latent within it. I agree with Harman’s interpretation of Latour on this point, extreme as it may be. Either entities have active affinities and relations or they don’t. I see no convincing reason to believe they possess an essence in which potential may reside. So can networked technology be emancipatory? I’d like to believe so, but only acting in relation with other actors in a co-ordinated manner…I don’t [therefore] think it’s constructive to simply assert that this potential is latent, as it amounts to an ideological projection or political posturing. The task, then, would be to go ahead and activate these technologies by bringing them in relation to other actants in ways which might be regarded as emancipatory.
Here the terms of what might at first blush appear to be an abstruse debate in the metaphysics of the flat ontology turn out to have important implications for the ways in which we see, describe and act in the world. Though for myself I tend to believe that all things have recourse to a broader performative repertoire than that set of relations currently enacted, I take Anil’s (and Harman’s, and more distantly Latour’s) point: we have to actually do the work of forging some linkage between things before we can know whether that particular linkage was in fact possible. And that work is an investment, is never accomplished without some cost.
So for all of these reasons, I’ve become wary of using that word “potential” to express my hope for the trajectories that appear to me to be latent in some emergent technosocial circumstance, but have yet to be actualized. But history nevertheless suggests that there is a marked degree of affinity between practices of material production in distributed, networked workshops, on the one hand, and polities choosing to organize themselves as a federation of autonomous local collectives managed by popular assembly on the other. If the latter seems in any wise to be a productive way of addressing some of the more vexatious challenges that afflict us, then maybe it might not be such a bad idea to experiment with the former. (Murray Bookchin gives some consideration to the organic politics of the materially self-reliant, in contexts that include medieval northern Italy and post-Colonial New England, in The Rise of Urbanization and the Decline of Citizenship, which I recommend without reservation.)
Given the direct and ancillary benefits that seem likely to cascade off of locating material production capabilities of this sort in the community, it might not be such a bad idea to experiment with them in any event, regardless of your politics. My aim, in all cases, is to see if the binding power of the network can’t be used to perform a kind of urban kintsugi: Expose the seams and sutures between things, articulate those seams in such a way as to improve the whole, leave the newly-rejoined fabric stronger than it had been before. What lies ahead is the costful task of attempting to verify whether this can in fact be accomplished — whether the value I suppose to subsist in this particular imagined alignment of technologies, spatial arrangements and organizational structures can actually be realized, by helping to produce real-world circumstances and situations that demonstrate it. And while there are certainly enough daunting aspects to this endeavor, and more than enough, I’ve rarely in my adult life been more optimistic than I find myself at this moment. It is clear to me that what we now have at hand, and ready to hand, are practices of the minimum viable utopia.
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.
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.
An article I was commissioned to write for the Touch issue of What’s Next magazine.
What does it mean for a text to be digital?
In principle, it can be replicated in perfect fidelity, and transmitted to an unlimited number of recipients worldwide, at close to zero cost. Powerful analytic tools can be brought to bear on it, and our reading of it. It can be compared against other texts, plumbed for clues as to its provenance and authorship. Each of our acts of engagement with it — whether of acquisition, reading, or annotation — can be shared with our social networks, mobilized as props in an ongoing performance of self. Above all, it becomes (to use the jargon practically unavoidable in any discussion of information technology) “platform-agnostic.” This is to say that it becomes independent, to a very great degree, of the physical medium in which it currently happens to be instantiated.
To varying degrees, these things have been true as long as words have been encoded in ones and zeroes — certainly since 1971, when Project Gutenberg was founded with the intention of digitizing as much of the world’s literature as possible, and making it all available for free. Why is it the case, then, that digital books only seem to have entered our lives in any major way in the last two or three years?
The apparently sudden arrival of the digital text likely owes something to the top-of-mind quality Amazon currently enjoys in its main markets, its name and value proposition as prominent in our awareness as those of the grocery chains, television networks or airlines we patronize — a presence it’s taken the company the better part of the last fifteen years to build up. And it surely has something to do with the widespread popular facility with the tropes and metaphors governing our engagement with digital content of all sorts that has developed over the same period of time, to the point that it’s increasingly hard to meet a grandparent inconversant with downloads, torrents and the virtues of cloud storage.
But the fundamental reason is probably that bit about platform-agnosticism. Anyone so inclined could have “engaged digital text” on a conventional computer at any point in the past forty years. But the act of reading didn’t — and maybe couldn’t — properly come into its own in the digital era until there was a platform for literature as present to the senses as paper itself, something as well-suited to the digital text as the road is to the automobile. I refer, of course, to the networked tablet.
It’s only with the widespread embrace of these devices that digital reading has become ubiquitous. Relatively inexpensive, lightweight and comfortable in the hand, capable of storing thousands of volumes, the merits of the tablet as reading environment may strike us as self-evident. But there’s another factor that underlies its general appeal, and that is the specific phenomenology of the way we manipulate reading material when using one.
We read text on a tablet as pixels, just as we would on any screen. But the ways in which we physically address and move through a body of such pixels have more in common with the behaviors we learned from books in earliest childhood than with anything we picked up in the course of later encounters with computers. This is why the post-PC tablet feels more “intuitive” to us, despite the frank novelty of the gestures we must learn in order to use it, and which no book in the world has ever afforded: the swipe, the drag, the pinch, the tap.
This is the new tactility of reading. But where there are comparatively few semantically-meaningful ways in which the reader’s hand can meet the pages of a material book, the experience of engaging a digital text with the finger is subject to a certain variability. It’s not a boundless freedom — it’s delimited on one side by technological limitations, and on the other by the choices of an interaction designer — but it does require explication.
The first order of variability is the screen medium itself. Each of the major touchscreen technologies available — resistive, capacitive, projective-capacitive, optical — imposes its own constraints on the latency and resolution with which a screen registers a touch, and therefore how long one must place one’s finger against it to turn a page or select a word for definition or a passage for annotation. Reading on a good screen feels effortless, even transparent — but particularly high latency or low resolution can easily disrupt the flow of experience, lifting the reader up and out of the text entirely.
The second is the treatment of type. As critical as it is to the legibility and emotional resonance of a text, and even at the higher resolutions now theroetically available, typography is all but invariably treated as though it had not been refined over five centuries. It still feels like we are many years and product versions away from type on the tablet rendered with the craft and care it deserves.
A third order of variability consists in the separation of content, style and interface elements inherent in contemporary application design. This means that both the meaning of gestural interactions and the treatment of the page itself can vary from environment to environment. Especially given the pressure developers are under to differentiate their products from one another, a tap in the Kindle for iPad application may not mean precisely what a tap in Readmill or Instapaper or Reeder does, or work in at all the same way.
In fact, something as simple and as basic to the act of reading as turning a page is handled differently in all of these contexts.
Originally, of course, the pagination of text was an artifact of necessity, something imposed by running a semantically continuous text across a physically discontinuous quantity of leaves. One might think, therefore, that pagination would be among the first things to go in making the leap to the digital reading environment, but contemporary applications tend to retain it as a skeuomorphism, larding down the interaction with animated page curls and sound effects.
On the Kindle proper, the reader presses a button — one for page forward, another for page back — and the entire screen blanks and refreshes as the new page loads, a transition imposed by the nature of electronic pigment. In the Kindle app, by contrast, the page slides right to left, slipping from future to present to past in a series of discrete taps.
The Instapaper application is, perhaps, truest to the nature of digital copy. It dispenses with all of this, and treats the document as one continuous environment: swipe upward when you’re ready for more. Instapaper is an acknowledgment of the text’s liberation from the constraints of crude matter. Handled this way, there’s no reason a digital text can’t return to something approximating the book’s earliest form, a scroll — in this case, one capable of unspooling without limit.
Finally, we also need to account for what it means to absorb text as a luminous projection. Marshall McLuhan drew a distinction between “light-on” media — that is, those in which content inscribed on a passive surface like paper is illuminated by an external light source — and “light-through” media, like our luminous tablets; per his insistence that medium is coextensive with message, we can assume that the selfsame text consumed in these two ways would be received differently, emotionally every bit as much as cognitively.
As it happens, I have both an actual, e-paper Kindle — digital, but nevertheless light-on — and Kindle applications for the eminently light-through iPhone and iPad. And purely anecdotally, it does seem to be the case that I have an easier time with thornier, weightier reading on the e-paper device. Novels are fine on the iPad, even on my phone…but if I want to wrestle with Graham Harman or Susan Sontag, I reach for the Kindle.
The McLuhanite in me frets that, in embracing the tablet, we inadvertently give up much of our engagement with the text. That beyond sentimentality, there is something about the act of turning a page to punctuate a thought, or the phenomenology of light reflecting off of paper saturated with ink, that conditions the act of reading and makes it what we recognize it to be, at some level beneath the threshold of conscious perception.
Which brings us back, at last, to the printed artifact. We can acknowldge that the networked tablet is a brilliant addition to any reader’s instrumentarium. I’m certain that it increases the number of times and places at which people read, and know from long, intimate and sorrowful personal experience the difference it makes where the portability of entire libraries is concerned. But it’s not quite the same thing as a book or a magazine, and cannot entirely replace them.
Curiously enough, the ambitions to which paper appears to remain best-suited are diametrically opposite:
On the one hand, deep, thoughtful engagement with a body of language, an engagement that fully leverages the craft of bookmaking. In this pursuit, the tablet cannot yet offer nearly the typographic nicety, conscious design for legibility or perceptual richness trivially available from ink on paper — all of the things, in other words, that permit the reader to immerse herself for longer, and with less strain.
But there are also occasions on which surface is all important, where the ostensible content is almost incidental to the qualities of its packaging. Here the texture or other phenomenological qualities of paperstock itself — even its smell — communicate performatively; I think of glossy lifestyle magazines. It’s hard to imagine any tablet or similar device affording these virtues in anything like the near term.
If we understand a book as a container, the precise shape that container takes ought to reflect the nature of its intended contents, and what one proposes to do with them. In acknowledging all the many virtues of networked, digital texts, the texture, tooth and heft of paper will ensure that for at least the contexts I’ve specified here, it remains irreplaceable among all the ways we contain thought as it flows from one human mind to another.