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.
Rider, Kenneth L. “A Parametric Model for the Allocation of Fire Companies,” RAND Institute report R-1615-NYC/HUD, April 1975.
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.
Roudman, Sam. “Bank of America’s Toxic Tower,” The New Republic, 28 July 2013.
Rudofsky, Bernard. Streets for People, Doubleday, New York, 1969.
Sadler, Simon. Archigram: Architecture without Architecture, The MIT Press, Cambridge MA, 2005.
Sen, Amartya Kumar. “The impossibility of a Paretian liberal,” Journal of Political Economy Volume 78 Number 1, January 1970.
Schmidt, Harald, Kristin Voigt and Daniel Wikler. “Carrots, sticks, and health care reform: problems with wellness incentives,” New England Journal of Medicine, 4 January 2010.
Schneider, Friedrich, Andreas Buehn and Claudio E. Montenegro. “Shadow Economies All over the World,” World Bank Policy Research Working Paper 5356, July 2010.
Scott, James C. Seeing Like a State: How Certain Schemes to Improve the Human Condition Have Failed, Yale University Press, New Haven, 1999.
Segel, Arthur I. “New Songdo City,” Harvard Business School case study 9-206-019, 15 June 2006.
Siemens Corporation. “Collective Intelligence: City Cockpit, Real-Time Government,” 2011.
— “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.
Songdo IBD. “The City: Master Plan.”
Sönmez, Sevil, Yorghos Apostopoulos, Diane Tran and Shantyana Rentrope. “Human rights and health disparities for migrant workers in the UAE,” Health and Human Rights Volume 13 Number 2, 2011.
Spufford, Francis. Red Plenty, Faber and Faber, London, 2011.
Stallman, Richard. “Why ‘Open Source’ misses the point of Free Software,” Communications of the ACM, Volume 52 Issue 6, June 2009.
Sussman, Joseph M. “Collected views on complexity in systems,” MIT Engineering Systems Division Working Paper Series, 30 April 2002.
Tuan, Yi-Fu. Space and Place: The Perspective of Experience, University of Minnesota Press, Minneapolis, 1977.
Ubisoft. Watch Dogs.
Vidal, John. “Masdar City – a glimpse of the future in the desert,” The Guardian, 26 April 2011.
Wakefield, Jane. “Building cities of the future now,” BBC News, 21 February 2013.
Webb, Flemmich. “Sustainable cities: Innovative urban planning in Singapore,” The Guardian, 11 October 2012.
Weiser, Mark. “Creating the invisible interface.” ACM Conference on User Interface Software and Technology (UIST94), 1994.
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.
Woods, Eric. “PlanIT Valley: A Blueprint for the Smart City,” Matter Network, 31 March 2011.
Woyke, Elizabeth. “Very Smart Cities,” Forbes, 3 September 2009.
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.