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.
Politics, in effect, must be recreated again if we are to reclaim any degree of personal and collective sovereignty over our destiny. The nuclear unit of this politics is not the impersonal bureaucrat, the professional politician, the party functionary, or even the urban resident in all the splendor of his or her civic anonymity. It is the citizen — a term that embodies the classical ideals of philia, autonomy, rationality and, above all, civic commitment. The elusive citizen who surfaced historically in the assemblies of Greece, in the communes of medieval Europe, in the town meetings of New England, and in the revolutionary sections of Paris must be brought to the foreground of political theory. For without his or her presence and without a clear understanding of his or her genesis, development, and potentialities, any discussion of the city is likely to become anemically institutional and formal.
– Murray Bookchin, The Rise of Urbanization and the Decline of Citizenship, 1987.
Now that we’re finally slouching toward Amazon to be born — i.e. I’m confident that the Kindle edition, at least, will ship within the next ten days — I’m happy to be able to share this final bibliography for “Against the smart city.” I hope, as ever, you find it useful.
Alcatel-Lucent Corporation. “Getting Smart About Smart Cities: Understanding the Market Opportunity in the Cities of Tomorrow,” February 2012.
Alexander, Steve. “IBM wants Minneapolis to become a ‘smarter city,'” Minneapolis Star Tribune, 6 June 2011.
Allease, Eve. “Abu Dhabi, United Arab Emirates: Future Green City Now,” Urban Times, 22 May 2011.
Allianz Open Knowledge Initiative. “Masdar City: a desert utopia,” 30 March 2009.
Alusi, Annissa, Robert G. Eccles, Amy C. Edmondson and Tiona Zuzul. “Sustainable Cities: Oxymoron or the Shape of the Future?,” Harvard Business School Working Paper 11-062, 20 March 2011.
Amnesty International. “Amnesty International Report 2008: Americas Regional Update. Selected events covering the period from January to April 2008,” 28 May 2008.
— “‘We have come to take your souls’: the caveirão and policing in Rio de Janeiro,” 13 March 2006.
Android Open Source Project. “Licenses.”
Beer, Stafford. Platform for Change: A Message from Stafford Beer. Wiley, New York, 1975.
Bell, Genevieve and Paul Dourish. “Yesterday’s Tomorrows: Notes on Ubiquitous Computing’s Dominant Vision,” Personal and Ubiquitous Computing Volume 11 Issue 2, January 2007.
Bettencourt, Luís M.A., et al. “Growth, innovation, scaling, and the pace of life in cities,” Proceedings of the National Academy of Sciences, Volume 104 Number 17, 24 April 2007.
Biddle, Sam. “Racial Profiling: Newest Trend in Silicon Valley?,” Valleywag, 7 August 2013.
Black, Edwin. IBM and the Holocaust: The Strategic Alliance between Nazi Germany and America’s Most Powerful Corporation, Random House, New York, 2001.
Boudreau, John. “Cisco helps build prototype for instant cities,” San Jose Mercury News, 01 June 2010.
Brand, Stewart. How Buildings Learn, Viking Press, New York, 1994.
Brewster, Kent. “Profiling Atherton,” July 2013.
Buro Happold. “Projects: PlanIT Valley.”
Carlisle, Tamsin. “Masdar City clips another $2.5bn from price tag,” The National, 1 December 2010.
Chalmers, Matthew and Ian MacColl. “Seamful and Seamless Design in Ubiquitous Computing,” Technical Report Equator-03-005, 2004.
Chen, David W. “Survey Raises Questions on Data-Driven Policy,” The New York Times, 8 February 2010.
Chomsky, Noam. “The Case Against B.F. Skinner,” New York Review of Books, 30 December 1971.
Cisco Systems. “Cisco and Lake Nona Unite to Create First U.S. Iconic Smart+Connected Community in Orlando, Florida,” 24 October 2012.
— “Cisco Contributes to Open Source.”
— “Cities of the Future: Songdo, South Korea,” 2012.
— “Cities of the Future: Songdo, South Korea – Living,” 2012.
— “Cities of the Future: Songdo, South Korea – Roadmap for a New Community,” 2012.
— “Smart City Framework: A Systematic Process for Enabling Smart+Connected Communities,” September 2012.
— “Smart+Connected Communities.”
City Mayors Foundation. “Largest cities in the world ranked by population density,” 2007.
City Protocol Society. “City Protocol.”
Cohen, Boyd. “Singapore Is On Its Way To Becoming An Iconic Smart City,” Fast Company co.Exist, 14 May 2012.
Le Corbusier. The Athens Charter, Grossman Publishers, New York, 1973.
— La Ville Radieuse. Editions Vincent, Freal & Co., Paris, 1935.
Cotton, Brian (“Ph.D.”!) for Frost & Sullivan. “Intelligent Urban Transportation: Predicting, Managing, and Integrating Traffic Operations in Smarter Cities.
CSIR-Central Road Research Institute. “Evaluating Bus Rapid Transit (BRT) Corridor Performance from Amebedkar Nagar to Mool Chand Intersection,” 13 February 2013.
Davis, Mike and Daniel Bertrand Monk. Evil Paradises: Dreamworlds of Neoliberalism, The New Press, New York, 2008.
De la Peña, Benjamin. “Embracing the Autocatalytic City,” The Atlantic Cities, 11 March 2013.
Deleuze, Gilles. Cinema 1: The Movement-Image, Athlone Press, London, 1986.
Dourish, Paul. Where the Action Is: The Foundations of Embodied Interaction, The MIT Press, Cambridge MA, 2004.
The Economist. “Masdar plan,” Technology Quarterly, 4 December 2008.
Economist Intelligence Unit for Siemens AG. “Managing the city as a ‘living organism,'” Asian Green City Index, 2011.
Emirates Center for Human Rights. “Migrant workers in the United Arab Emirates,” July 2012.
English, Bella. “He’ll Build This City,” Boston Globe, 13 December 2004.
Executive Affairs Authority, Emirate of Abu Dhabi. “Law No. 22: Establishment of Abu Dhabi Future Energy Company and Masdar Institute of Science and Technology,” 2007.
EXP, Research Centre for Experimental Practice at the University of Westminster. “Archigram Archival Project.”
Feuer, Alan. “Occupy Sandy: A Movement Moves to Relief,” The New York Times, 9 November 2012.
Flood, Joe. The Fires: How a Computer Formula Burned Down New York City — And Determined the Future of American Cities. Riverhead Books, New York, 2010.
Forrester, Jay. Urban Dynamics, The MIT Press, Cambridge MA, 1969.
Frayssinet, Fabiana. “Forced Eviction from Rio’s Slums Echoes Dark Past,” Tierramerica, 10 May 2010.
Galbraith, Jay R. “Matrix organization designs: How to combine functional and project forms,” Business Horizons Volume 14 Issue 1, 1971.
Gartner, Inc. “Is ‘Smart Cities’ The Next Big Market?,” 2010.
Gehl, Jan. Life Between Buildings: Using Public Space, trans. Jo Koch, Van Nostrand Reinhold, New York, 1987.
Gibson, William. Neuromancer, Ace Books, New York, 1984.
Green, Jeremy for OVUM. “Digital Urban Renewal,” April 2011.
Greenfield, Adam. “Preliminary Notes to a Diagram of Occupy Sandy,” Speedbird, 21 November 2012.
— Everyware: The dawning age of ubiquitous computing, New Riders, Berkeley, 2006.
Gunther, Marc. “A Photo Tour of Masdar City,” Greenbiz.com, 21 January 2011.
Hatch, David. “Singapore Strives to Become ‘The Smartest City,'” Governing, February 2013.
Hedlund, Jan for Microsoft Corporation. “Smart City 2020: Technology and Society in the Modern City,” March 2011.
Hitachi, Ltd. “Coordination of Urban and Service Infrastructures for Smart Cities,” 2012.
— “Telecommunication Systems for Realizing a Smart City,” 2012.
Howard, Ebenezer. Garden Cities of To-morrow, Faber and Faber, London, 1902.
Human Rights Watch. “World Report 2012: United Arab Emirates,” January 2012.
IBM Corporation. “City Government and IBM Close Partnership to Make Rio de Janeiro a Smarter City,” 27 December 2010.
— “IBM Intelligent Operations Center for Smarter Cities.”
— “Intelligent Operations Center,” 6 March 2012.
— Advertisement: “Mayors Of The World, May We Kindly Have 540 Words With You?”
— “The Smarter City: Traffic.”
— “Smarter Cities: Infrastructure. Operations. People.”
— “Smarter Public Safety: Smarter Cities solutions for law enforcement.”
— “Traffic Prediction Tool.”
— “Welcome to the Smarter City.”
Incheon Free Economic Zone Authority. “Business Outline: Development Plan.”
— “Incheon Free Economic Zone: One-Stop Service.”
— “Investment Incentive, Incheon Free Economic Zone.”
International Data Corporation. “Worldwide Quarterly Enterprise Networks Tracker: Top Five Worldwide Layer 2/3 Ethernet Switch Vendors,” 23 August 2012.
International Telecommunication Union. “Living In a World of 7 Billion People: Digital Cities for a Better Future,” ITU News, August 2011.
— “The World in 2013: ICT Facts and Figures,” February 2013.
Jacobs, Jane. The Death and Life of Great American Cities, Random House, New York, 1961.
Kim, Bongsu. “Subway CCTV was used to watch citizens’ bare skin sneakily,” Asian Business Daily, 16 July 2013. (In Korean.)
Kitchin, Rob and Martin Dodge. Code/Space, The MIT Press, Cambridge MA, 2011.
Koetsier, John. “Cisco helps build first U.S. ‘Smart+Connected’ city of the future in Lake Nona, Florida,” VentureBeat, 23 October 2012.
Kolesar, Peter. “Model for Predicting Average Fire Company Travel Times,” RAND Institute report R-1624-NYC, June 1975.
Koolhaas, Rem. “The Generic City” in S, M, L, XL, The Monacelli Press, New York, 1994.
Lee, Junho and Jeehyun Oh. “New Songdo City and the Value of Flexibility: A Case Study of Implementation and Analysis of a Mega-Scale Project,” MS thesis Massachusetts Institute of Technology, 2008.
LG Electronics. “LG HomNet: Total Solution.”
Lindsay, Greg. “Building a Smarter Favela: IBM Signs Up Rio,” Fast Company, 27 December 2010.
Living PlanIT. Video: “Building efficient urban-scale environments.”
— “Cities in the Cloud: A Living PlanIT Introduction to Future City Technologies,” July 2011.
— “Design Wins.”
— “Living PlanIT at Cisco C-Scape,” July 2011.
– “Living PlanIT’s CEO Steve Lewis selected by the World Economic Forum as a Technology Pioneer 2012.”
– “Living PlanIT Urban Operating System: Introduction to the Living PlanIT UOS Architecture, Open Standards and Protocols.”
— “Planit [sic] Valley, a true innovation in urban development.”
— “Urban Operating System: Overview.”
— “What is Living PlanIT?”
— “Why Become a Living PlanIT Partner Company?”
Masdar (Abu Dhabi Future Energy Company). “Benefits of Setting Up in a Free Zone.”
Masdar City. “Frequently Asked Questions,” 2011.
— “Masdar City: The Global Center of Future Energy,” 2011.
McCullough, Malcolm. Digital Ground: Architecture, Pervasive Computing, and Environmental Knowing, The MIT Press, Cambridge MA, 2004.
Medina, Eden. “Designing Freedom, Regulating a Nation: Socialist Cybernetics in Allende’s Chile,” Journal of Latin American Studies Volume 38 Issue 3, 2006.
Mehta, Suketu. “In the Violent Favelas of Brazil,” New York Review of Books, 11 July 2013.
Microsoft Corporation. “Microsoft and Living PlanIT Partner to Deliver Smart City Technology Via the Cloud,” 22 March 2011.
— “The Smart City: Using IT to Make Cities More Livable,” December 2011.
Migurski, Michal. “Visualizing Urban Data,” in Beautiful Data: The Stories Behind Elegant Data Solutions, Toby Segaran and Jeff Hammerbacher, eds., O’Reilly Media, Sebastopol CA, 2012, pp. 167-182.
— “Oakland Crime Maps X,” tecznotes, 3 March 2008.
Mitleton-Kelly, Eve. “Ten Principles of Complexity & Enabling Infrastructures,” Complex systems and evolutionary perspectives on organisations: the application of complexity theory to organisations, Elsevier Science Ltd, Oxford, 2003.
Mlot, Stephanie. “Microsoft CityNext Aims To Build ‘Smart Cities’,” PC Magazine, 11 July 2013.
Montavon, Marylène, Koen Steemers, Vicky Cheng and Raphaël Compagnon. “‘La Ville Radieuse’ by Le Corbusier once again a case study,” The 23rd Conference on Passive and Low Energy Architecture, 6 September 2006.
Mostashari, Ali, Friedrich Arnold, Mo Mansouri and Matthias Finger. “Cognitive cities and intelligent urban governance,” Network Industries Quarterly Volume 13 Number 3, 2011.
Mumford, Eric. The CIAM Discourse on Urbanism, 1928-1960, The MIT Press, Cambridge MA, 2002.
Mumford, Lewis. The City in History: Its Origins, Its Transformations, and Its Prospects, Harcourt, Brace and World, New York, 1961.
Newman, Oscar. Creating Defensible Space, US Department of Housing and Urban Development Office of Policy Development and Research, Washington DC, 1996.
OFFICE: Jason Schulte Design, Inc. “IBM: Designing a Smarter Planet.”
Patten, Bob. “Standard operating procedures in Intelligent Operations Center Version 1.5,” IBM developerWorks, 10 May 2013.
Paul-Ebhohimhen, Virginia A. and Alison Avenell. “Systematic review of the use of financial incentives in treatments for obesity and overweight,” Obesity Reviews Volume 9 Issue 4, July 2008.
Perrow, Charles. Normal Accidents: Living with High-Risk Technologies, Basic Books, New York, 1984.
Poole, Erika Shehan, Christopher A. Le Dantec, James R. Eagan and W. Keith Edwards. “Reflecting on the invisible: understanding end-user perceptions of ubiquitous computing,” Proceedings of Ubicomp ’08, Volume 344, ACM, New York, 2008.
Quigley, John M. “Urban diversity and economic growth,” Journal of Economic Perspectives Volume 12 Number 2, 1998.
Reporters Without Borders. “Authorities crack down on social networks and activist bloggers,” 30 March 2012.
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Riis, Jacob. How the Other Half Lives: Studies among the Tenements of New York, Charles Scribner’s Sons, New York, 1890.
Ross, Andrew. “Human Rights, Academic Freedom, and Offshore Academics,” Academe, January 2011.
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— “Smart City in detail: Intelligent communication solutions for smart cities.”
— “Sustainable Buildings — Networked Technologies: Smart Homes and Cities,” 2008.
— “What is the Siemens City of the Future?,” 2012.
Simon, David, Kia Corthron, Ed Burns and Chris Collins. The Wire, Season 4, Episode 9: “Know Your Place,” first aired 12 November 2006.
Smith, P.D. City: A Guidebook for the Urban Age, Bloomsbury Publishing USA, New York, 2012.
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Ubisoft. Watch Dogs.
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The White House, Office of the Press Secretary. “President Clinton: Improving the Civilian Global Positioning System (GPS),” 1 May 2000.
Whyte, William H. The Social Life of Small Urban Spaces, Project for Public Spaces, New York, 1980.
Wilken, Rowan. “Calculated Uncertainty: Computers, Chance Encounters, and ‘Community’ in the Work of Cedric Price,” Transformations Issue 14, March 2007.
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The following is section 4 of “Against the smart city,” the first part of The City Is Here For You To Use. Our Do projects will be publishing “Against the smart city” in stand-alone POD pamphlet and Kindle editions later on this month.
4 | The smart city pretends to an objectivity, a unity and a perfect knowledge that are nowhere achievable, even in principle.
Of the major technology vendors working in the field, Siemens makes the strongest and most explicit statement of the philosophical underpinnings on which their (and indeed the entire) smart-city enterprise is founded: “Several decades from now cities will have countless autonomous, intelligently functioning IT systems that will have perfect knowledge of users’ habits and energy consumption, and provide optimum service…The goal of such a city is to optimally regulate and control resources by means of autonomous IT systems.”
We’ve already considered what kind of ideological work is being done when efforts like these are positioned as taking place in some proximate future. The claim of perfect competence Siemens makes for its autonomous IT systems, though, is by far the more important part of the passage. It reflects a clear philosophical position, and while this position is more forthrightly articulated here than it is anywhere else in the smart-city literature, it is without question latent in the work of IBM, Cisco and their peers. Given its foundational importance to the smart-city value proposition, I believe it’s worth unpacking in some detail.
What we encounter in this statement is an unreconstructed logical positivism, which, among other things, implicitly holds that the world is in principle perfectly knowable, its contents enumerable, and their relations capable of being meaningfully encoded in the state of a technical system, without bias or distortion. As applied to the affairs of cities, it is effectively an argument there is one and only one universal and transcendently correct solution to each identified individual or collective human need; that this solution can be arrived at algorithmically, via the operations of a technical system furnished with the proper inputs; and that this solution is something which can be encoded in public policy, again without distortion. (Left unstated, but strongly implicit, is the presumption that whatever policies are arrived at in this way will be applied transparently, dispassionately and in a manner free from politics.)
Every single aspect of this argument is problematic.
— Perfectly knowable, without bias or distortion: Collectively, we’ve known since Heisenberg that to observe the behavior of a system is to intervene in it. Even in principle, there is no way to stand outside a system and take a snapshot of it as it existed at time T.
But it’s not as if any of us enjoy the luxury of living in principle. We act in historical space and time, as do the technological systems we devise and enlist as our surrogates and extensions. So when Siemens talks about a city’s autonomous systems acting on “perfect knowledge” of residents’ habits and behaviors, what they are suggesting in the first place is that everything those residents ever do — whether in public, or in spaces and settings formerly thought of as private — can be sensed accurately, raised to the network without loss, and submitted to the consideration of some system capable of interpreting it appropriately. And furthermore, that all of these efforts can somehow, by means unspecified, avoid being skewed by the entropy, error and contingency that mark everything else that transpires inside history.
Some skepticism regarding this scenario would certainly be understandable. It’s hard to see how Siemens, or anybody else, could avoid the slippage that’s bound to occur at every step of this process, even under the most favorable circumstances imaginable.
However thoroughly Siemens may deploy their sensors, to start with, they’ll only ever capture the qualities about the world that are amenable to capture, measure only those quantities that can be measured. Let’s stipulate, for the moment, that these sensing mechanisms somehow operate flawlessly, and in perpetuity. What if information crucial to the formulation of sound civic policy is somehow absent from their soundings, resides in the space between them, or is derived from the interaction between whatever quality of the world we set out to measure and our corporeal experience of it?
Other distortions may creep into the quantification of urban processes. Actors whose performance is subject to measurement may consciously adapt their behavior to produce metrics favorable to them in one way or another. For example, a police officer under pressure to “make quota” may issue citations for infractions she would ordinarily overlook; conversely, her precinct commander, squeezed by City Hall to present the city as an ever-safer haven for investment, may downwardly classify felony assault as a simple misdemeanor. This is the phenomenon known to viewers of The Wire as “juking the stats,” and it’s particularly likely to happen when financial or other incentives are contingent on achieving some nominal performance threshold. Nor is it the only factor likely to skew the act of data collection; long, sad experience suggests that the usual array of all-too-human pressures will continue to condition any such effort. (Consider the recent case in which Seoul Metro operators were charged with using CCTV cameras to surreptitiously ogle women passengers, rather than scan platforms and cars for criminal activity as intended.)
What about those human behaviors, and they are many, that we may for whatever reason wish to hide, dissemble, disguise, or otherwise prevent being disclosed to the surveillant systems all around us? “Perfect knowledge,” by definition, implies either that no such attempts at obfuscation will be made, or that any and all such attempts will remain fruitless. Neither one of these circumstances sounds very much like any city I’m familiar with, or, for that matter, would want to be.
And what about the question of interpretation? The Siemens scenario amounts to a bizarre compound assertion that each of our acts has a single salient meaning, which is always and invariably straightforwardly self-evident — in fact, so much so that this meaning can be recognized, made sense of and acted upon remotely, by a machinic system, without any possibility of mistaken appraisal.
The most prominent advocates of this approach appear to believe that the contingency of data capture is not an issue, nor is any particular act of interpretation involved in making use of whatever data is retrieved from the world in this way. When discussing their own smart-city venture, senior IBM executives argue, in so many words, that “the data is the data”: transcendent, limpid and uncompromised by human frailty. This mystification of “the data” goes unremarked upon and unchallenged not merely in IBM’s material, but in the overwhelming majority of discussions of the smart city. But different values for air pollution in a given location can be produced by varying the height at which a sensor is mounted by a few meters. Perceptions of risk in a neighborhood can be transformed by altering the taxonomy used to classify reported crimes ever so slightly. And anyone who’s ever worked in opinion polling knows how sensitive the results are to the precise wording of a survey. The fact is that the data is never “just” the data, and to assert otherwise is to lend inherently political and interested decisions regarding the act of data collection an unwonted gloss of neutrality and dispassionate scientific objectivity.
The bold claim of perfect knowledge appears incompatible with the messy reality of all known information-processing systems, the human individuals and institutions that make use of them and, more broadly, with the world as we experience it. In fact, it’s astonishing that anyone would ever be so unwary as to claim perfection on behalf of any computational system, no matter how powerful.
— One and only one solution: With their inherent, definitional diversity, layeredness and complexity, we can usefully think of cities as tragic. As individuals and communities, the people who live in them hold to multiple competing and equally valid conceptions of the good, and it’s impossible to fully satisfy all of them at the same time. A wavefront of gentrification can open up exciting new opportunities for young homesteaders, small retailers and craft producers, but tends to displace the very people who’d given a neighborhood its character and identity. An increased police presence on the streets of a district reassures some residents, but makes others uneasy, and puts yet others at definable risk. Even something as seemingly straightforward and honorable as an anticorruption initiative can undo a fabric of relations that offered the otherwise voiceless at least some access to local power. We should know by now that there are and can be no Pareto-optimal solutions for any system as complex as a city.
— Arrived at algorithmically: Assume, for the sake of argument, that there could be such a solution, a master formula capable of resolving all resource-allocation conflicts and balancing the needs of all a city’s competing constituencies. It certainly would be convenient if this golden mean could be determined automatically and consistently, via the application of a set procedure — in a word, algorithmically.
In urban planning, the idea that certain kinds of challenges are susceptible to algorithmic resolution has a long pedigree. It’s already present in the Corbusian doctrine that the ideal and correct ratio of spatial provisioning in a city can be calculated from nothing more than an enumeration of the population, it underpins the complex composite indices of Jay Forrester’s 1969 Urban Dynamics, and it lay at the heart of the RAND Corporation’s (eventually disastrous) intervention in the management of 1970s New York City. No doubt part of the idea’s appeal to smart-city advocates, too, is the familial resemblance such an algorithm would bear to the formulae by which commercial real-estate developers calculate air rights, the land area that must be reserved for parking in a community of a given size, and so on.
In the right context, at the appropriate scale, such tools are surely useful. But the wholesale surrender of municipal management to an algorithmic toolset — for that is surely what is implied by the word “autonomous” — would seem to repose an undue amount of trust in the party responsible for authoring the algorithm. At least, if the formulae at the heart of the Siemens scenario turn out to be anything at all like the ones used in the current generation of computational models, critical, life-altering decisions will hinge on the interaction of poorly-defined and surprisingly subjective values: a “quality of life” metric, a vague category of “supercreative” occupations, or other idiosyncrasies along these lines. The output generated by such a procedure may turn on half-clever abstractions, in which a complex circumstance resistant to direct measurement is represented by the manipulation of some more easily-determined proxy value: average walking speed stands in for the more inchoate “pace” of urban life, while the number of patent applications constitutes an index of “innovation.”
Even beyond whatever doubts we may harbor as to the ability of algorithms constructed in this way to capture urban dynamics with any sensitivity, the element of the arbitrary we see here should give us pause. Given the significant scope for discretion in defining the variables on which any such thing is founded, we need to understand that the authorship of an algorithm intended to guide the distribution of civic resources is itself an inherently political act. And at least as things stand today, neither in the Siemens material nor anywhere else in the smart-city literature is there any suggestion that either algorithms or their designers would be subject to the ordinary processes of democratic accountability.
— Encoded in public policy, and applied transparently, dispassionately and in a manner free from politics: A review of the relevant history suggests that policy recommendations derived from computational models are only rarely applied to questions as politically sensitive as resource allocation without some intermediate tuning taking place. Inconvenient results may be suppressed, arbitrarily overridden by more heavily-weighted decision factors, or simply ignored.
The best-documented example of this tendency remains the work of the New York City-RAND Institute, explicitly chartered to implant in the governance of New York City “the kind of streamlined, modern management that Robert McNamara applied in the Pentagon with such success” during his tenure as Secretary of Defense (1961-1968). The statistics-driven approach that McNamara’s Whiz Kids had so famously brought to the prosecution of the war in Vietnam, variously thought of as “systems analysis” or “operations research,” was first applied to New York in a series of studies conducted between 1973 and 1975, in which RAND used FDNY incident response-time data to determine the optimal distribution of fire stations.
Methodological flaws undermined the effort from the outset. RAND, for simplicity’s sake, chose to use the time a company arrived at the scene of a fire as the basis of their model, rather than the time at which that company actually began fighting the fire; somewhat unbelievably, for anyone with the slightest familiarity with New York City, RAND’s analysts then compounded their error by refusing to acknowledge traffic as a factor in response time. Again, we see some easily-measured value used as a proxy for a reality that is harder to quantify, and again we see the distortion of ostensibly neutral results by the choices made by an algorithm’s designers. But the more enduring lesson for proponents of data-driven policy has to do with how the study’s results were applied. Despite the mantle of coolly “objective” scientism that systems analysis preferred to wrap itself in, RAND’s final recommendations bowed to factionalism within the Fire Department, as well as the departmental leadership’s need to placate critical external constituencies; the exercise, in other words, turned out to be nothing if not political.
The consequences of RAND’s intervention were catastrophic. Following their recommendations, fire battalions in some of the most vulnerable sections of the city were decommissioned, while the department opened other stations in low-density, low-threat areas; the spatial distribution of firefighting assets remaining actually prevented resources from being applied where they were most critically needed. Great swaths of the city’s poorest neighborhoods burned to the ground as a direct result — most memorably the South Bronx, but immense tracts of Manhattan and Brooklyn as well. Hundreds of thousands of residents were displaced, many permanently, and the unforgettable images that emerged fueled perceptions of the city’s nigh-apocalyptic unmanageability that impeded its prospects well into the 1980s. Might a less-biased model, or a less politically-skewed application of the extant findings, have produced a more favorable outcome? This obviously remains unknowable…but the human and economic calamity that actually did transpire is a matter of public record.
Examples like this counsel us to be wary of claims that any autonomous system will ever be entrusted with the regulation and control of civic resources — just as we ought to be wary of claims that the application of some single master algorithm could result in an Pareto-efficient distribution of resources, or that the complex urban ecology might be sufficiently characterized in data to permit the effective operation of such an algorithm in the first place. For all of the conceptual flaws we’ve identified in the Siemens proposition, though, it’s the word “goal” that just leaps off the page. In all my thinking about cities, it has frankly never occurred to me to assert that cities have goals. (What is Cleveland’s goal? Karachi’s?) What is being suggested here strikes me as a rather profound misunderstanding of what a city is. Hierarchical organizations can be said to have goals, certainly, but not anything as heterogeneous in composition as a city, and most especially not a city in anything resembling a democratic society.
By failing to account for the situation of technological devices inside historical space and time, the diversity and complexity of the urban ecology, the reality of politics or, most puzzlingly of all, the “normal accidents” all complex systems are subject to, Siemens’ vision of cities perfectly regulated by autonomous smart systems thoroughly disqualifies itself. But it’s in this depiction of a city as an entity with unitary goals that it comes closest to self-parody.
If it seems like breaking a butterfly on a wheel to subject marketing copy to this kind of dissection, I am merely taking Siemens and the other advocates of the smart city at their word, and this is what they (claim to) really believe. When pushed on the question, of course, some individuals working for enterprises at the heart of the smart-city discourse admit that what their employers actually propose to do is distinctly more modest: they simply mean to deploy sensors on municipal infrastructure, and adjust lighting levels, headway or flow rates to accommodate real-time need. If this is the case, perhaps they ought to have a word with their copywriters, who do the endeavor no favors by indulging in the imperial overreach of their rhetoric. As matters now stand, the claim of perfect competence that is implicit in most smart-city promotional language — and thoroughly explicit in the Siemens material — is incommensurate with everything we know about the way technical systems work, as well as the world they work in. The municipal governments that constitute the primary intended audience for materials like these can only be advised, therefore, to approach all such claims with the greatest caution.
 For example, in New York City, an anonymous survey of “hundreds of retired high-ranking [NYPD] officials” found that “tremendous pressure to reduce crime, year after year, prompted some supervisors and precinct commanders to distort crime statistics” they submitted to the centralized COMPSTAT system. Chen, David W., “Survey Raises Questions on Data-Driven Policy,” The New York Times, 08 February 2010.
 Simon, David, Kia Corthron, Ed Burns and Chris Collins, The Wire, Season 4, Episode 9: “Know Your Place,” first aired 12 November 2006.
 Fletcher, Jim, IBM Distinguished Engineer, and Guruduth Banavar, Vice President and Chief Technology Officer for Global Public Sector, personal communication, 08 June 2011.
 Migurski, Michal. “Visualizing Urban Data,” in Segaran, Toby and Jeff Hammerbacher, Beautiful Data: The Stories Behind Elegant Data Solutions, O’Reilly Media, Sebastopol CA, 2012: pp. 167-182. See also Migurski, Michal. “Oakland Crime Maps X,” tecznotes, 03 March 2008.
 See, as well, Sen’s dissection of the inherent conflict between even mildly liberal values and Pareto optimality. Sen, Amartya Kumar. “The impossibility of a Paretian liberal.” Journal of Political Economy Volume 78 Number 1, Jan-Feb 1970.
 Forrester, Jay. Urban Dynamics, The MIT Press, Cambridge, MA, 1969.
 See Flood, Joe. The Fires: How a Computer Formula Burned Down New York City — And Determined The Future Of American Cities, Riverhead Books, New York, 2010.
 See, e.g. Bettencourt, Luís M.A. et al. “Growth, innovation, scaling, and the pace of life in cities,” Proceedings of the National Academy of Sciences, Volume 104 Number 17, 24 April 2007, pp. 7301-7306.
 Flood, ibid., Chapter Six.
 Rider, Kenneth L. “A Parametric Model for the Allocation of Fire Companies,” New York City-RAND Institute report R-1615-NYC/HUD, April 1975; Kolesar, Peter. “A Model for Predicting Average Fire Company Travel Times,” New York City-RAND Institute report R-1624-NYC, June 1975.
 Perrow, Charles. Normal Accidents: Living with High-Risk Technologies, Basic Books, New York, 1984.
Over the weekend I finally got a chance to sit down with Theodore Spyropoulos‘s new book Adaptive Ecologies, which I’ve been looking forward to for a bit now. (Thanks, Steph!) Spyropolous is an instructor at London’s Architectural Association and director of the school’s Design Research Laboratory, and Adaptive Ecologies is his and his students’ attempt to push arguments about the computational generation of form a little further downfield.
The book’s subtitle says it all, sorta: “Correlated systems of living.” Broadly, the argument being made here is that new technologies allow us to fuse architecture’s formal qualities with its functional or performative ones. We can imagine the world populated with entirely new kinds of structures: each an active, adaptive mesh capable of responding to conditions of use, and expressing this response through its macroscopic physical manifestation, at every scale from unit (house) to cluster (building) to collective (megastructure or masterplan). What Spyropolous and his student-collaborators are trying to develop are the strategies or vocabularies one would use to devise structures like this.
Another way of putting things is to say that they’re attempting to link or join the two primary modes in which computation currently informs architecture. On one hand, we have the procedural, iterative, processor-intensive design techniques that have been in vogue for the past decade or so; on the other, we have the potential we’ve discussed so often here, that of networked informatics to endow structures and environments with the ability to sense and respond to varying conditions of occupancy, load or use. Adaptive Ecologies binds these threads together, and what results is a potent intellectual figure: smart city as architecture machine.
This is an intriguing argument, to say the least, and its evocation of urban space as a vast, active, living information system resonates profoundly with certain of my own concerns. Further, Spyropoulos admirably attempts to situate this work in its proper context, adducing a secret history in which his students’ towering blebs and polypy complexes recognizably descend from a lineage of minor heroes that includes Bucky Fuller, Archigram and the Japanese Metabolists, Gordon Pask and Cedric Price.
All of the usual tropes are present in Adaptive Ecologies: DLA and its manifestation in coral and Hele-Shaw cells; genetic algorithms, agent-based models and cellular automata; stigmergy and swarming logics; siphonophores and mangroves; even Frei Otto’s experiments with the self-organizing potential of wet thread.
But troublingly, these organic processes are used to generate designs that are not shown to be “adaptive” at all — at least not in the materials reproduced here. My primary beef with the book turns out to be the same I hold against the contemporary school of parametricists (which runs the entire gamut of seriousness, interest and credibility, from Zaha Hadid herself and her in-house ideologist Patrik Schumacher straight through to charlatans like Mitchell Joachim): that it fetishizes not merely form but the process of structuration. Or really, that it fetishizes the process of structuration to the detriment of usable form.
To make a fetish of these generative processes is to misunderstand their meaning, or to think that they are not already operating in our built environments. I promise you these algorithms of self-organization are always already there in the city — in the distribution of activities, in the dynamics of flow, in every last thing but the optical shape. The beehive’s form is epiphenomenal of its organizing logic, and so is the city’s. To reify such an organizing logic in the shape of a building strikes me as stumbling into a category error. Worse: as magical thinking, as though we’d made the rhizome an emblem of state to be carved in the façades of our buildings, where once we might have inscribed sheaves of wheat or birds of prey.
Consider the contribution of usual-suspect Makoto Sei Watanabe. Watanabe is an architect who believes that architecture must replace unreliable designerly inspiration with a Science valid in all times and places, and I’ve beaten up on him before. He’s represented here by a series of sculptures collectively called WEB FRAME, one version of which adorns the Iidabashi station of Tokyo’s Oedo subway line.
As is usual with Watanabe, he invokes “neural network[s], genetic algorithms and artificial intelligence” to explain the particular disposition of elements you can see in Iidabashi station. But WEB FRAME is best understood as an ornamental appliqué. It’s nicer to look at than a bare ceiling, arguably, but that’s all it is. Despite its creator’s rhetoric, its form at any given moment bears no relationship whatsoever to the flow of passengers through the subway system, the performative capacities of the station itself, or any potential regulation of either. It’s the outer sign of something, entirely detached from its substance. It adapts to nothing. It is, in a word, static.
Although it may be a particularly weak example, Watanabe’s work is marred by the same problems that afflict the more interesting work elsewhere in the volume:
– Not one of the projects illustrated uses parameters derived from real-time soundings to generate its form, even notionally. For some projects, the parameters used in an iterative design process appear to have been chosen specifically for the formal properties that result from their selection; for others, the seed values occupy an extremely wide range, producing a family of related design solutions rather than a single iconic form.
There’s nothing wrong, necessarily, with either approach. But unless I’m missing something really basic, the whole point of this exercise is to devise structures whose properties change over relatively short spans of time (minutes to months) in response to changing conditions. In turn, that would seem to imply some way of coupling the parameters driving the structures’ form to one or another value extracted from their local environment. And while all of the student work featured in the book draws on the beguilingly stochastic processes of structuration I enumerated above, only one of them claims to have used data gathered in this way as its input or seed state.
This is Team Shampoo‘s exploration of “hair-optimi[z]ed detour networks,” and it’s both wildly problematic in its own right and emblematic of the worrisome tendencies that run throughout the volume. Shampoo’s design for a tower complex uses autonomous computational agents to simulate morning and evening pedestrian flows through a district, and in turn uses these to derive “optimal” linkages and points of attachment for circulation structures hardwired into the urban fabric itself. The results are certainly striking enough, but they are precisely optimized: that is, narrowly perfected for one use case, and one use case only.
Of course, we know that conditions of pedestrian flow change over the course of the week, over the seasons of the year, with economic cycles and the particular disposition of services and amenities reflected in the city. A conventional street grid, especially one with short blocks, is already more adaptive to changes in these circumstances than any lattice of walk-tubes in the sky, because it allows people to choose from a far wider variety of alternative paths from origin to destination. In designs like Shampoo’s, we’re still making the same blunder Jane Jacobs accused the High Modernists of making: mistaking the appearance of something for its reality.
And if the point of all this applied parametricism is to permit each building or cluster of buildings to take on the form appropriate to the exigencies of the moment, that I can tell, only a single one of the projects featured appears in states responding to multiple boundary conditions. This is Team CXN-Reaction’s Swarm effort, which proposes housing units that collapse flat when not occupied, stacked in a snaky concertina reaching to the sky. (Admittedly, it’s difficult to put a finger on any particular purpose sufficient to justify this tactic of expansion and contraction, unless they’re arguing that the long-term maintenance of an unused unit is significantly cheaper in the collapsed state, but it does at least show a system that is in principle capable of multiple configurations.) So while Adaptive Ecologies itself acknowledges three registers of iterative design — behavioral, self-organizational and morphogenetic — it appears to be only the latter that is given any serious consideration.
– More seriously, none of the structures featured appear to be provided with any actual mechanism that would permit dynamic adaptation. We can be generous, and assume that these structures are notionally equipped with the sensors, actuators and other infrastructural componentry necessary to the work of transformation — designed, perhaps, by students in other modules of the AA, or left up to hands-on experimental practices like The Living. But nowhere in these renderings is any such thing stipulated (again, that I could tell on a first reading), and that makes the whole outing little more than a formal exercise.
I suppose the feeling is that it’s far too early in the prehistory of adaptive architecture for such details, which would be bound to obsolesce rapidly in any event. But even where there is a specific mechanism identified — notably Team Architecta’s rubber joint, permitting 360-degree rotation and a variety of geometric configurations — it’s never explained how it could possibly function as a component of anything but a model. Is it supposed to work hydraulically? Pneumatically? Through shape-memory myoelectrics? And how is access for maintenance and upgrade supposed to be accomplished? (Scaling even a few panes of one of Chuck Hoberman’s expanding surfaces to room size, and keeping the installation working under conditions of daily use, required constant physical debugging.) It’s hard to imagine, say, Bucky Fuller settling for a sketch of one of his tensegrity structures, and not working questions like these out in detail.
– No attempt is made to reconcile these formal possibilities with the way buildings are actually built. I am perfectly willing to believe that, at some point in the diiiiiistant future, self-powering, self-assembling, self-regulating structures will be “built” one molecule at a time. (At that point, the build/inhabit/maintain distinction would be meaningless, actually, as provisions for various kinds of shelter would presumably arise and subside as required.) But until and unless that point is reached, there will always be human fabricators, contractors and construction workers involved in the assembly of macroscale structures, and if what you intend to build is to be anything other than a one-off proof of concept, that means standardized processes at scale. Institutional and disciplinary conventions. Standard components. Generally-accepted practices and procedures. At no point do the structures described in Adaptive Ecologies coincide with any of these provisions of the contemporary praxis of production.
Again, yes: this is “just a design lab.” But where are these details to be worked out, if not in a design lab? Thousands of kids around the planet already know how to use Maya to crank out unbuildably biomorphic abstractions — functioning as a hinge between these “futuristic” visions and plans which might be realized is where the real discipline and the real inspiration now lie. (I won’t comment for now on the obvious irony that maintaining all of these structures as designed would require the most extraordinary specialist interventions in practice, taking them still further from the possibility that residents themselves could usefully modify or adapt them.)
– Finally, no attempt is made to reconcile these formal possibilities with any actual practice of living. In a book stuffed full of the most extravagant imagery, one illustration in particular — the work of Danilo Arsic, Yoshimasa Hagiwara and Hala Sheikh’s Team Architecta — stands out for me as an indication that the discipline is speaking only to itself. It features the by-now-familiar typology of a high-rise service-and-circulation core studded with plug-in living pods, the units of which rather resemble mutant avian skulls. Put aside for a second the certainty that this Kikutake– or Archigram-style typology, first articulated in the late 1950s, would have enveloped the globe by now if there were anything remotely appealing or useful about it. What concerns me here is the frankly malevolent appearance of Architecta’s take on the trope (which just between you and me strikes me as kind of awesome, but which I cannot imagine being built in any city this side of Deadworld).
I know, I know: tastes change over time, just as they vary from place to place. Still, who wants to live in a structure that looks like nothing so much as a ravening gyre of supremely Angry Birds? Unless you can somehow convince me that you could gather enough devotees of True Norwegian Black Metal in one place to populate a shrieking kvlt arcology, I think this one’s an index of parametric design’s weirdly airless inwardness.
I get that this is an aesthetic of the age — “gigaflop Art Nouveau,” I called it a few years back. (1998, to be precise.) But as an aesthetic, it can and should stand on its own, without being married to an entirely separate discourse about responsive urbanism. As a casebook of purely formal studies and strategies, Adaptive Ecologies is by and large reasonably convincing, and here and there very much so. It’s all the rhetoric about biomimetic or physiomimetic processes of structuration somehow leading to more, rather than less, flexible assemblages that’s its weakest point, and unfortunately that’s the very trellis that Spyropolous has used to train his vines on. I welcome and applaud what he’s up to in Adaptive Ecologies, but as far as I can tell the attempt to devise a vocabulary of dynamic form that is capable of change over relatively short time scales still awaits its fundamental pattern language.
And if nothing else, it’s surreal to look up from this book and gaze out the window onto a city where SHoP’s towers are considered architecturally daring, and in which the overwhelmingly fundamental problem isn’t the timidity of its design but the inability to provide all residents with decent, affordable housing.
Henri Lefebvre once asked, “Could it be that the space of the finest cities came into being after the fashion of plants and flowers in a garden?” I myself happen to believe that this is true not merely of the finest cities, but of all cities: that they are given form by generative processes as organic as any of those so beloved of the parametricists, operating at a scale and subtlety beyond the ability of any merely optical apparatus to detect. It is when we finally learn to take the measure of those processes that we will stand ready to author truly adaptive ecologies.
One final note: it’s only fair to point out that much of the work on view in Adaptive Ecologies is on the order of eight years old, and that a great deal can change in that kind of time. I sure as hell wouldn’t want to be held to every position I advanced in 2005.
A piece I was commissioned to write earlier this year for the catalogue for Juha van ‘t Zelfde’s exhibition Dread: The Dizziness of Freedom, opening at De Hallen Harlem in the Netherlands on 06 September 2013. I hope you enjoy it. (You can find out more about the show and the catalogue here, or purchase it direct from the publishers.)
When I was 18, I moved in with my first real girlfriend, to a draughty ground-floor apartment on East 7th Street between Avenues B and C. This was the winter of 1986-87, a time at which the edges of Manhattan Island (or, for that matter, its core) hadn’t yet been subjected to the concerted pacification campaigns of the Giuliani years. The act of choosing to live downtown, if you were among those for whom it was a choice, still meant accepting some level of risk and physical danger into your life. This was especially true in the neighborhood where I lived, in Alphabet City, where a common rule of thumb had it that A stood for adventurous, B for brave, C for crazy and D for dead.
And it was true, or felt true. Those were the days in which crack cocaine and the 9mm semiautomatic handgun first came to prominence in the psychic life of New York City, the years of the Guardian Angels, “subway vigilante” Bernie Goetz and of Michael Griffith being hounded to his death in Howard Beach. The tension was just something we lived with — more of a constant thrumming note in the background than anything else, though it occasionally crescendoed to apocalyptic-feeling levels. (Early one morning, my girlfriend and I woke to an unusual sensation of heat in our ordinarily-freezing room; it was the five-storey squat in the block behind us, whose backyard butted up against ours, burning to the ground — in fact, being watched as it did so, by the evidently unperturbed personnel of the Fire Department and the HPD, the city’s Department of Housing Preservation and Development.)
However it may have swollen, crested and then receded from day to day, the predominant emotion I remember from those years is fear. I was afraid of cops. I was afraid of skinheads. I was afraid of the pack of Puerto Rican kids who used to tool through the neighborhood on BMX bikes, hassling Chinese-restaurant deliverymen and the occasional unwary NYU student. I was afraid of the ubiquitous Missing Foundation graffiti that confronted you on every block, the shadowy band’s sigil of an upside-down martini glass enormous in ashy black Krylon on every second building front, bracketed by the legends PURGE and THE PARTY’S OVER.
Most of all, though, I was afraid of the Avenue C end of my own block. In fact, I’d rarely wander any further east than the bodega directly across the street from our apartment, which, but for a few cans of Goya beans, dusty bricks of Bustelo and cartons of island-grade bug spray, never seemed to have much on the shelves. (My housemates and I were certain it was a front for a crack-dealing operation.) It was as if some vast and only semi-permeable membrane had been stretched across the roadway, a thickening of the dread in the air to the point that it was physically difficult to pass through; in all the time I lived on East 7th, I only once recall walking the few blocks to the river. The cold grey light of that single occasion remains hypernaturally vivid in memory, which is what happens when what ought to be uncomplicated everyday experience is etched in the neurons by a jittery endocrine surge.
Like most of the people I knew, I armored myself against the streets in a drag of Schott biker jacket and chain-wrapped combat boots. It was, for the most part, sufficient. I was able to convince myself that I looked tough enough to constitute a disincentive to anyone inclined to hassle me — in fact, my armoring may well have contributed to others’ discomfort more than it alleviated any of my own. But I also made a concerted effort to perform everything the leather jacket and boots implied, as if along with my clothes I had to strap on a set to the shoulders and a walking gait capable of warding off the various bad but never quite fully-imagined things that might happen to me.
In time, all of this taught me something valuable about the nature of life in cities. When fear is an everyday thing, it becomes a habit that settles into the bones. It conditions the hours at which you leave the house, the routes you take, the way you hold your body, the things you carry. And utterly groundless though the great majority of my worries may have been — however precious and pearl-clutching it was for this bourgeois kid to quail at circumstances the overwhelming majority of my neighbors confronted every damn day of their lives, without even the option of picking up stakes and moving to a less fraught neighborhood — I could no longer pretend that the city was in any sense a safe theater of operations for me. Or, by extension, for anyone else.
And that was the crucial insight. It may have been the first time in my life I fully and directly understood the calculus some enormous percentage of people living in every city on Earth are forced to perform every time they walk out the front door. For not a small number of us, the mere act of walking out onto the street is an act that brings us face to face with our own precarity, and not merely the economic precarity we’ve all gotten used to in these austere days, but the deeper contingency of our very being in the world. Under conditions like this, the need to perform the most basic daily operations — shopping for groceries, say, or doing the laundry — becomes something that must be weighed against the risk of being mocked, harassed, mugged, beaten, or worse.
This calculus, unsurprisingly, weighs disproportionately on the elderly, on immigrants, on the homeless, on those who are by fate or choice visibly different than the majority population of a neighborhood, and above all on women of all backgrounds and descriptions. The right simply to be in public, secure in one’s bodily integrity, is and can never be taken for granted by anyone who belongs to any of these groups. And though a great many things have changed in the world since I managed to connect the dots and figure this all out for myself in the winter of 1986, the reality of fear is sadly not among them.
When people live this way, their access to the city’s nominal opportunities is radically curtailed. All of the urban amenities that might exist — not just in theory, on paper, or in principle but actually exist — are simply not present for them in quite the same way as they would be to someone who didn’t have to account for the perception of threat. The landscape is permeated by invisible gradients, boundaries and lines of force, and you disregard these only at your own peril.
If you yourself are an immigrant, of course, or disabled, or queer, or fat, you understand all of this immediately, implicitly, without needing to have it explained. It’s only a revelation to those who are lucky enough never to have felt the burden of any such fear — and such people tend to get prickly and defensive when the subject is raised, as though their interlocutor means to park sole and exclusive blame for this set of circumstances at their feet. Mention any of these facts in polite company, however diffidently, and you can surely expect to be accused of indulging yourself in the worst and most hyperbolic sort of left-wing rhetoric. Even to utter the word “privilege” is to chance having yourself dismissed as a hectoring scold.
And so I learned to talk not of the moral dimensions of this failure, but of its practical implications.
My understanding of the cost of fear starts with my reading of American sociologist Mark Granovetter’s landmark paper of 1973, “The Strength of Weak Ties.” “Weak Ties” concerns the diffusion of information in social networks; Granovetter’s thesis is essentially that we learn the most from people we know the least — more precisely, that because we generally share a very wide range of beliefs and assumptions with those we’re closest to, we tend to receive truly novel information from people to whom we’re only loosely affiliated.
A big city, of course, ought to be wonderful at generating just the kinds of weak ties Granovetter’s paper described. The encounters that take place while waiting at a bus stop, over the counter of a deli, the happenstance conversation with the next person in line at the supermarket — these are, at least potentially, hinges between entirely different ways of life, and moments at which information might pass through the membrane. But these are precisely the opportunities that drop off when fear is the order of the day, for reasons that are both physical and psychic.
The first is a matter of simple availability: you obviously can’t contribute to, or derive benefit from, a milieu you’re not in in the first place. The second has to do with your receptivity, your openness to the unpredictable. Divining the intentions of those with whom we’re unfamiliar, personally or culturally, is hard work. When you’re always on alert — pre-emptively cringing from the violence you assume and believe is headed your way eventually, from one or another direction — it’s exhausting to submit every chance encounter to an on-the-spot risk assessment and cost-benefit analysis. It’s safer, and certainly easier, not to drop your guard. And so we stay in our comfort zone, and default to engaging people with whom we’re already more or less similar.
Which is to say that I was denied learning anything from the people down the end of my block of East 7th, and they from me. I don’t want to get sentimental about this and suggest that we need have been best friends, sending choruses of “Kumbaya” pealing into the air of the Lower East Side and so on. But neither was that what Granovetter was getting at. All that is necessary for information to flow is simply exchange.
In this regard, I don’t even think “exchange” means anything particularly declarative. I mean the casual intelligence that two or more people cannot help but impart to one another simply by virtue of being copresent: the way we do, or do not, respond to the utterance of a well-known name. The expressions that cross our countenance upon hearing certain words or ideas, before we master our facial musculature. The way someone holds a bag, a phone, or a newspaper; the pocket in which they keep their wallet; the particular style with which they address the task of locomotion. All of these things are, at least in potential, the makings of urban savoir faire.
There’s a way of quantifying what is lost when we withdraw from the possibility of such exchanges: Metcalfe’s law. This is a notion drawn from the theory of telecommunications, which states that the value of a network rises as the square of the number of connected nodes. The very first telephone, in other words, is entirely worthless: what of value could you possibly do with it? But it leaps in value the moment a second telephone is brought into existence. The number of potential connections, and the aggregate value of the network as a whole, expand geometrically with each additional phone that is added to it. What does this terribly abstract framing of things imply for city life? It means that every one of us who connects to the network of possibilities that is any great city benefits from it — benefits more, in fact, the bigger and further-flung that network is — but that the network’s power, capability and value are tremendously enhanced by the fact of our connection. And to a very great degree, we connect to any such urban network physically, by being bodily present in it and to it.
And that’s why it matters, concretely and in terms the hardest-knuckled quant can respect, whenever someone is prevented from full participation in the city by the gnawing sense that they are a target. I am convinced that every such event is a double loss, doubly felt. Because Metcalfe’s law has an inverse, too. Every person that huddles behind a triple-locked door — or who does make it onto the public way, but only as a timid presence, tuning out everything but the mission at hand — does not simply shut out the city and its possibilities. They represent a corresponding, exponential loss to the city. Not only is the person deprived of the things the city can do for them, in other words, but the city is deprived of the perspectives, skills and capabilities they might have offered the collectivity. You don’t need to acknowledge a moral dimension, or find the language of privilege and exclusion particularly resonant, to understand why this is an outcome we might wish to prevent.
And if weak links do, counterintuitively, turn out to be the thing that binds the whole city together as any kind of psychologically recognizable entity, we’re actually indulging much more damage than we think in allowing these conditions to persist. Or at least that’s what seems to be implied by my reading of Metcalfe and Granovetter: if what you want is to disrupt a city’s overall social cohesion — and limit its ability to conduct novel and potentially vital information from one community to another — there’s nothing more effective you can do than sunder the weak links.
By contrast, though, what if you’re interested in improving the city’s ability to benefit its citizens, and benefit from them in turn? There’s a potential point of intervention at the threshold of public and private, whenever people are faced with the choice of fully committing themselves to the public way or remaining in an environment they perceive as offering them shelter. What might outweigh fear, at such a moment? Awareness of the actual conditions someone might confront, and of the resources they may be able to draw upon in doing so. Confidence in their own capability. Bonds of solidarity — the idea that whatever threats do exist in the world, no one is forced to face them alone. In a word: information.
There’s nothing information can do about that fear per se, especially once it’s set itself up in the body. Not being the kind of thing that can be refuted, it remains beyond the reach of mere facts. But practical informational tools can and do give people the strength to act and to be in public regardless of their fear.
For example, some women I know use Google’s StreetView on a regular basis to scan the neighborhood around destinations that are unfamiliar to them, especially if they’re planning to arrive there after the fall of dark. They use the service ahead of time to determine points of particular vulnerability, and plan routes with more lighting, population, and activity. It gives them a sense that they’re more in control, and that often turns out to be just enough to coax someone out the door.
Or consider a mobile application called Stop and Frisk Watch, developed by the New York Civil Liberties Union and translated into Spanish by a group called Make the Road New York. “Stop and Frisk” is a policy instituted by the New York City Police Department; in theory, it permits a police officer who has reasonable suspicion to believe that a person has committed, is committing, or is about to commit a crime, to stop and question that person, and search them for any weapons they may be carrying. In practice, the NYPD’s own records show that nearly nine out of every ten of the more than four million New Yorkers subjected to such street interrogations since 2002 — the overwhelming majority of whom were black or Latino — have been completely innocent.
If you are young, male, and black or Latino, in other words, you have a nontrivial chance of being stopped by the police every time you step out of doors, and if you think that doesn’t contribute to people’s sense that their very personhood is being called into question, you’ve never met a New York City police officer. By giving those subjected to the policy a way to record and report their experiences, Stop and Frisk Watch helps them resist, even a little, the sense that power in the world is exclusively arrayed against them and there’s no recourse or succor to be found anywhere.
What’s at stake in both cases is the basic right to be in public. To be sure, constraints on this right are experienced in different ways by different populations, and to varying degrees from one individual to another. But what so many of these abrogations all have in common as a ground note is the experience of bodily dread. And if we’re to take “Weak Ties” and Metcalfe’s law as our guides, this dread, when surrendered to, quite literally undoes the bonds which make any city what it is — weakens its resilience, hampers its ability to convey vital information from one neighborhood, district or community to another, and corrodes its own ability to respond effectively at moments of crisis.
It’s precisely Granovetter’s weak links, in fact, that turn out to furnish cities with an unusual and highly desirable property: that of getting stronger under stress. This is the quality Nassim Nicholas Taleb calls “antifragility.” You may find Taleb fatuous; I certainly do. But antifragility is a terrifically important idea. When a city is confronted with some sudden external shock — a Blitz, a Fukushima, a Sandy — it’s the tenuous relations that get activated, the nodding acquaintances that are based on very little more than recognizing a person from one or two prior encounters. It’s these, and not the stronger bonds of affiliation and existing affinity, that wind up furnishing the grounds of cooperation under the most difficult circumstances, and that can in turn make the difference between a community’s survival and its disappearance. And these are the relations that never come into being when we let fear shut us in, off or down.
Any means of which we can avail ourselves, therefore, that dispels our fear, and does so without adding to the burden anybody else is forced to shoulder, is something that can only strengthen our cities, our selves, and their ability to mutually reinforce one another. And this is something that we all ought to agree is desirable, whether or not we ourselves are moved by the moral dimension of dread’s persistence.
Stealthy, slippery, crusty, prickly and jittery redux: On design interventions intended to make space inhospitable
From Mitchell Duneier’s Sidewalk, 1999. The context is a discussion of various physical interventions that have been made in the fabric of New York City’s Pennsylvania Station:
On a walk through the station with [director of “homeless outreach” Richard] Rubel and the photographer Ovie Carter one summer day in 1997…I found it essentially bare of unhoused people. I told Rubel of my interest in the station as a place that had once sustained the lives of unhoused people, and asked if he could point out changes that had been made so that it would be less inviting as a habitat where subsistence elements could be found in one place. He pointed out a variety of design elements of the station which had been transformed, helping to illustrate aspects of the physical structure that had formerly enabled it to serve as a habitat.
He took us to a closet near the Seventh Avenue entrance. “We routinely had panhandlers gathering here, and you could see this closet area where that heavy bracket is, that was a niche.”
“What do you mean by ‘a niche’?”
“This spot right over here was where a panhandler would stand. So my philosophy is, you don’t create nooks and corners. You draw people out into the open, so that your police officers and your cameras have a clean line of sight [emphasis added], so people can’t hide either to sleep or to panhandle.”
Next he brought us to a retail operation with a square corner. “Someone here can sleep and be protected by this line of sight. A space like this serves nobody’s purpose [emphasis added]. So if their gate closes, and somebody sleeps on the floor over here, they are lying undetected. So what you try to do is have people construct their building lines straight out, so you have a straight line of sight with no areas that people can hide behind.”
Next he brought us to what he called a “dead area.” “I find this staircase provides limited use to the station. Amtrak does not physically own this lobby area. We own the staircase and the ledge here. One of the problems that we have in the station is a multi-agency situation where people know what the fringe areas are, the gray areas, that are less than policed. So they serve as focal points for the homeless population. We used to see people sleeping on this brick ledge every night. I told them I wanted a barrier that would prevent people from sleeping on both sides of this ledge. This is an example fo turning something around to get the desired effect.”
“Another situation we had was around the fringes of the taxi roadway. We had these niches that were open. The Madison Square Garden customers that come down from the games would look down and see a community of people living there, as well as refuse that they leave behind.” He installed a fencing project to keep the homeless from going behind corners, drawing them out into the open [emphasis added]. “And again,” said Rubel, “the problem has gone away.”
This logic, of course, is immanent in the design of a great deal of contemporary public urban space, but you rarely find it expressed quite as explicitly as it is here. Compare, as well, Jacobs (1961) on the importance to vibrant street life (and particularly of children’s opportunities for play) of an irregular building line at the sidewalk edge.