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An index, 2017

I thought you might enjoy seeing the draft index I compiled for Radical Technologies, now available for pre-order on Amazon. If nothing else, it’ll give you an idea of the book’s main concerns, and maybe even a sense of its arguments.

Radical Technologies launches worldwide on May 30th, 2017.
 
#
15M movement (110, 169)
3arabizi (311)
3D printing (8, 85-86, 88, 93-96, 98, 100-104, 107-108, 110, 281, 295-296, 302, 312)
The 5 Point (Seattle dive bar) (84)
51% attack (139)

A
Accenture (198, 231)
accuracy (machine learning) (217)
acrylonitrile butadiene styrene plastic filament (ABS) (94-95)
Aetna (36)
aerogel (95)
AIDS Coalition to Unleash Power (ACT UP) (167)
Air America (CIA front organization) (228)
Airbnb (41, 156)
Alcoholics Anonymous (167)
Aldiss, Brian (291)
Alibaba (106, 286)
Alphabet (company) (275-279, 284)
AlphaGo (264-266, 278, 270)
Amazon (36-39, 46-47, 193, 195, 211, 275, 277-282, 284, 286, 314)
– acquisitions of (280-281)
– Alexa virtual assistant (39)
– Dash Button (36-37, 42, 46-48, 279)
– Echo (38, 279)
– Echo Dot (38)
– Flex (278)
– labor conditions at, blue-collar (47, 195)
– labor conditions at, white-collar (195n)
Amnesia, Anne (181)
Android operating system (18, 44, 275, 278)
Annapurna Labs (281)
“anticipatory surveillance” (242)
AntPool mining pool (139)
Apple (15, 18, 33, 36-39, 85, 197, 275, 277, 279, 283-285)
– App Store (18)
– iOS (18)
– iPad (277)
– iPhone (15, 64-65, 277)
– iTunes (277)
– Macintosh, first-generation (85)
– Siri virtual assistant (39)
– TV (277)
– Watch (33, 36, 197)
application programming interface (API) (26, 39, 60, 196, 248, 274)
application-specific integrated circuits (ASIC) (128, 138, 141)
AR-15 assault rifle (108)
Arlington National Cemetery (65)
Armadillo police vehicle (29)
artificial intelligence (259-271)
Asawa, Ruth (261)
Atelier Populaire (269)
augmented reality (AR) (63-84)
Auschwitz death camp (61, 65, 71)
automated teller machines (ATM) (1, 3, 7, 52, 135)
automation (8, 153, 183-207, 226, 236, 255-257, 260, 275, 280, 311)
– economic implications of (192-206)
– “four D’s of” (184, 202)
– motivations behind (186-191)
autonomous organizations (115, 147, 175, 302)
autonomous trucking (193, 255, 278)

B
Bach, J.S. (261)
Back, Adam (121)
Baidu (243)
Baihe (286)
Balochistan (179)
Bank of America (120)
Bank of England (194)
baseband processors (15)
beacons (49, 51)
becoming-cyborg (80)
Beer, Stafford (155, 302)
Bennett, Jane (307)
Bergen-Belsen concentration camp (61)
BetterWorks (199)
Bezos, Jeff (193, 278)
bias (human prejudice) (188-189, 234)
bias (machine learning) (218)
big data (211, 221)
Bitcoin (115-117, 119-126, 128-129, 131-143, 145-151, 153, 155, 157, 159-163, 165-166, 179)
– as infrastructure for micropayments (133)
– mining of (126-128, 130-131, 135, 138-141, 145)
– putative anonymity of (137)
Bitcoin Magazine (148)
“black boxes” (244, 253)
Black Lives Matter movement (177, 236, 244)
blockchain (8, 115-181, 207, 209-210, 288, 290, 293, 295-296, 303, 307, 318)
Bois de Boulogne (2)
Borges, Jorge Luis (244)
Boston Dynamics see Google
Bowyer, Adrian (86, 303, 306)
Branch (startup) (246-247, 254)
Brandes, Jeff (256)
Brantingham,
– Jeffrey (231)
– Patricia (232)
– Paul (232)
Braungart, Michael (96)
British Broadcasting Corporation (BBC) (177)
Brown, Henry T. (103)
Brown, Joshua (223-224, 254)
Brown, Michael (231)
“buddy punching” (198)
bullshit jobs (203, 205)
Bui, Quoctrung (192-193)
bushido (266-267)
Bushido Project, the (266)
Business Microscope (197)
Buterin, Vitalik (147-150, 152, 154, 162-164, 167, 169, 172, 175, 177, 179, 303, 311)
Byzantium (69)

C
CAD-Coin (157)
Californian Ideology, the (283)
Carmack, John (82)
cartography (20)
cats (214)
cellular automata (86)
Champs-Élysées (Paris street) (1)
Chaum, David (121)
Checkpoint Charlie (70)
chess (263)
Chevrolet Camaro (216-218)
Chicago Police Department (230-231)
China (87, 102, 190, 194, 278-279, 286, 290, 306)
Chinese yuan (135)
Churchill, Winston (28)
circular economy (92, 96, 99, 288)
Ciutat Meridiana (Barcelona neighborhood) (109)
climax community (289)
closed-circuit television (CCTV) (49-50, 54, 241)
Cockney rhyming slang (311)
code library (274-275)
commons, the (171-173)
computer numerical control (CNC) milling (86, 93, 95, 97, 108, 110, 273)
Container Store, The (196)
cooperatives (171)
cooperative motility (80)
Copenhagen (31, 51)
Cornell Law School (151)
Cortana virtual assistant (39)
CostCo (45)
cozy catastrophe (291)
cradle-to-cradle industrial ecosystem see circular economy
The Craftsman (111)
Creative Commons (102-103)
CRISPR technique (298)
Crossmatch (startup) (198)
Crown Heights (Brooklyn neighborhood) (136)
cryptocurrency (8, 115-144, 145, 148-149, 153, 156, 164-165, 177-178, 248, 273, 279, 290, 293, 318)
cryptofinance (180)
cryptography (116, 118-119, 121-123, 129, 146-147, 176, 178-179)
“Custom Notifications” (Chicago Police Department program) (235)
cybernetic socialism (191)

D
DAO, The (distributed autonomous organization) (161-181)
data subject (251)
Davao City, Philippines (31, 43, 46)
Day, Jeffrey (63)
distributed denial-of-service attacks (45)
“The Dead” (short story) (261)
Deep Blue (263-265)
Deep Dream see Google
Deep Lab (314)
deep learning see machine learning
DeepMind see Google
de Certeau, Michel (311)
Deleuze, Gilles (148, 211)
dematerialization (11)
Demnig, Gunter (72)
de Monchaux, Nicholas (101)
Demos (246)
Deutsche Bank (278-279)
The Dialectic of Sex (191)
El Diario newspaper (109)
Dick, Philip K. (83, 244)
digital fabrication (85-114)
digital rights management software  (DRM) (292, 295)
DiscusFish/F2 Pool mining pools (139)
distributed applications (115, 147, 149, 163)
distributed autonomous organizations (161-181, 288, 302)
distributed consensus (126)
distributed ledgers (117, 137, 160, 293)
Department of Motor Vehicles (generically) (158)
Dodge Charger (216-217, 221)
döner (71)
“Double Bubble Trouble” (MIA song) (295)
drones (103, 188, 220, 277-278, 283, 295)
DropCam (281)
Dubner, Stephen J. (237)
dugnad (170)
Dunning-Kruger syndrome (260)
Dutch East India Company, the (165)

E
Easterbrook, Steve (195)
Edo (69)
Elemental Technologies (281)
Elephant and Castle Shopping Centre (110)
Eisenman, Peter (70)
Embassy of the United States, Beijing (51)
Eno, Brian (238)
Equal Credit Opportunity Rights (248)
Ethereum/Ether (148-150, 152-154, 162-163, 168, 175-177, 179)
Ethical Filament Foundation (99)
Ethiopia (194)
Euro (currency) (100, 131, 136)
“eventual consistency” (134)
Existenzminimum (111)
Expedia (134)
EZPass (59)

F
fablabs (95, 100, 109-110)
faceblindness (67)
Facebook (69, 220-221, 227, 229, 232, 252, 275-279, 281, 284)
– Aquila autonomous aircraft (278)
– Free Basics (278)
– Instagram (278)
– opacity of Trending News algorithm (212, 252-253)
Fadell, Tony (276)
false positive (truth value) (217, 235, 249)
Family Assistance Plan (FAP) (204)
Fan Hui (268)
feature engineering (218)
Federal Trade Commission (248)
FedEx (278)
Filabot (98)
Fillod, Odile (107)
Financial Times (177)
FindFace software (240-242)
Firestone, Shulamith (191)
Fitbit Charge wearable device (197)
Five Hundred and Seven Mechanical Movements (103)
Flaxman, Seth (250-251)
foamed aluminum (95)
Ford Mustang (216-217)
Forrester, Jay (56)
Fortune Magazine (257)
Foucault, Michel (35, 70, 160)
Freakonomics (237)
Frey, Carl Benedikt (194)
Fully Automated Luxury Communism (90, 111, 190, 289)

G
gallium arsenide (47)
Galloway, Anne (82)
gambiarra (291)
Garrett, Matthew (43)
General Data Protection Regulation (249)
General Public License (103)
Genesis Block (125, 139)
genetic algorithms (239, 253)
gender
– of pedestrians, as determined by algorithm (239)
– as performance (239-240)
– of virtual assistants (39)
geofencing (27)
Gershenfeld, Neil (95)
Ghost Gunner (108)
Giger, H.R. (219)
GitHub code repository (242, 274, 281)
“glassholes” (84, 276)
Global Village Construction Set (103)
go (game) (263-266)
Goodhart’s Law (247)
Goodman, Bryce (250-251)
Google (18, 24, 37-40, 46, 66, 69, 73-74, 76-78, 80, 84, 193, 212, 218-220, 247, 254, 264, 275, 276, 278, 281, 284)
– Boston Dynamics robotics division (276)
– Chrome browser (275)
– Daydream virtual reality headset (275)
– Deep Dream (80, 219)
– DeepMind artificial intelligence division (264-265, 270, 276, 281)
– driverless cars (193, 220)
– Glass augmented reality headset (66, 73-74, 76-78, 80, 275)
– Home interface device (38-40)
– Image Search (218)
– Mail (275)
– Maps (24)
– Nest home automation division (275-276)
– Nest thermostat (275-276)
– Play (18)
– Plus social network (276)
– search results (212)
– Sidewalk Labs division (276)
Gladwell, Malcolm (237)
Glaser, Will (220)
Global Positioning System (4, 16, 21, 26, 51, 67)
Graeber, David (205)
Guangdong (179)
The Guardian (276)
Guattari, Félix (148)
Gu Li (265)

H
Hagakure (267)
Haldane, Andy (194)
Halo (game) (39)
Hannah-Arendt-Strasse (Berlin street) (70)
haptics (16)
Harman, Graham (48)
hash value (123-124, 128-130)
Hashcash (121)
hashing algorithm (123)
head-up displays (66-67)
Hearn, Mike (179)
“Heat List” (Chicago Police Department program) (230-231, 233, 235-236, 244)
heroin (228)
heterotopias (70)
high-density polyethylene plastic filament (HDPE) (99)
Hitachi Corporation (197)
Hollerith machines (61)
hooks, bell (311)
HR analytics (199)
Hungarian pengő (120, 122)

I
iaido (266)
iaijutsu (266)
IBM (263)
ideology of ease (42)
infrapolitics (311)
ING (bank) (262)
input neurons (215)
Instagram see Facebook
Institute of Advanced Architecture Catalunya (IAAC) (109)
intellectual property (IP) (104, 106, 281, 284)
intent recognition (227)
The Intercept (252)
International Harvester Scout (158)
International Labor Organization (ILO) (133)
International Mobile Equipment Identity number (IMEI) (4, 137)
International Monetary Fund (IMF) (122)
internet of things (31-62, 155-156, 209, 277, 285, 312)
– at the scale of the body (33-36)
– at the scale of the city (48-59)
– at the scale of the room (36-48)
– business models for (46)
– security vulnerabilities of (42-45)
Inventing the Future (88, 203)

J
Johnson, Eddie (235)
Jollibee fast-food chain (43)
Joyce, James (261)
jugaad (291)

K
Kabakov, Alexander (241)
Kaczynski, Theodore (310)
Kafka, Franz (160, 244)
Kanjoya (startup) (198)
Kasparov, Garry (263)
Kay, Alan (305)
Keikyu Corporation (198)
Kelly, Kevin (34)
Keynes, John Maynard (184)
Kickstarter (155)
Kuniavsky, Mike (31)
Kurgan, Laura (53)
kyriarchy (111)

L
Landless Workers’ Movement (Brazil) (169)
Lee Sedol (264-265, 268, 270)
lethal autonomous robotics (226)
Levitt, Steven D. (237)
Liberator 3D-printed pistol (108)
lidar (23)
Liss, Jo (268)
Lofland, Lyn (79)
logical positivism (52)
Los Angeles Police Department (LAPD) (229)
Lovecraft, H.P. (269)

M
Machii, Isao (266-267)
machine learning (8, 16, 60, 185, 192, 194, 209-257, 308)
maker spaces (93)
MakerBot (85, 88, 101, 104-105, 107)
mapping (22-25, 275, 278)
Mann, Steve (77-78)
Marx, Karl (70, 305)
MasterCard (120)
Mason, Paul (88)
Mauthausen concentration camp (61)
McDonald’s restaurant chain (194-195)
McDonough, William (96)
McNamara, Robert (57)
Merkle roots (123)
Metropolitan Police Service (London) (231)
Microsoft (38-39, 262, 275)
minimal techno (music genre) (221)
Minority Report (227, 230)
MIT Technology Review (243)
Mitte (Berlin neighborhood) (71-72)
Monobloc chair (106)
Monroe, Rodney (230)
Morris, David (256-257)
Moore’s Law (88, 93)
Mountain View, California (284)
M-Pesa digital currency (117)
Music Genome Project (220)
Musk, Elon (222)

N
National Institute of Justice (233)
National Public Radio (41, 192)
National September 11th Memorial (65)
National Technical University of Athens (173)
NAVSTAR Global Positioning System (21)
NBC Universal (220)
neural networks (214-216, 219, 264, 266)
Nevada (192)
New York City (51, 56-58, 136, 238)
The New York Times (177)
Next Rembrandt project (262-263, 265)
near-field communication standard (NFC) (17, 117)
Niantic Labs (65)
Niemeyer, Oscar (261)
Nieuwenhuys, Constant (190)
Niigata, Japan (301-302)
niqab (295)
Nixon Administration (204)
nonvolatile memory (15)
North Dakota (192)
Norwegian black metal (music genre) (221)
Nuit Debout protests (3)

O
Occupy movement (167, 169)
Oculus Rift virtual reality headset (82)
O’Neil, Cathy (249)
open source hardware (102)
OpenTable (39-40, 46)
Osborne, Michael A. (195)
Ostrom, Elinor (171)
output neuron (215)
overtransparency (240-241, 243)

P
Pai, Sidhant (98)
Pandora music service (220)
Panmunjom Truce Village (65)
Pareto optimality (55, 59)
Paris (1–6, 292)
Pasquale, Frank (244, 253)
path dependence (232, 299)
PayPal (120, 136, 220)
PCWorld (45)
People Analytics (198, 226, 232)
perceptron (214)
Père Lachaise cemetery (2, 5, 26)
persoonskaart (Dutch identity card) (60)
Pew Research Center (41, 193)
Pinellas County, Florida (256)
Placemeter (51)
polylactic acid plastic filament (PLA) (94, 98, 101)
Pokémon Go (63-65, 76, 79)
Polari (311)
policy network (264)
Pollock, Jackson (261)
Pony Express (256)
porosity (28, 173)
POSIWID (155, 302)
Postcapitalism (88)
power/knowledge (62)
predictive policing (227, 230, 232, 235)
PredPol (229, 231, 236, 244, 254)
proof-of-work (128-130, 140-141, 143, 290)
prosopagnosia see faceblindness
Protoprint (99-100, 102)
provisioning of mobile phone service (17, 56)
Průša, Josef (105)
psychogeography (40, 51)

Q
Quantified Self movement (33-36, 40)

R
Radical Networks conference (314)
radio frequency identification (RFID) (200, 296)
Radiohead (35)
RAND Corporation (56-58)
RATP (5)
recall (machine learning) (217, 234-235)
redboxing (229-230)
regtech (157)
Reich, Robert (196)
Relentless (265)
Rensi, Ed (195)
RepRap 3D printer (86-87, 93, 104-105, 306)
RER (2, 5)
Richelieu (62)
Rifkin, Jeremy (88, 205, 312)
RiteAid (197)
Riverton, Wyoming (63)
Royal Dutch Shell Long-Term Studies Group (287)

S
Samsung (285-286)
Sandvig, Christian (252)
“Satoshi Nakamoto” (115, 118, 147, 303)
scenario planning (287)
Schneier, Bruce (45, 243)
Scott, James C. (311)
SCUM Manifesto (191)
Seoul (6, 18, 54, 264-265, 284)
– Metro (54)
Sennett, Richard (111)
sentiment analysis (198)
Serra, Richard (70)
SHA-256 hashing algorithm (123)
Shenzhen Special Economic Zone (18-19, 43)
Shodan search engine (43)
Shoreditch (London neighborhood) (136)
Shteyngart, Gary (246)
Sidewalk Labs see Google
Siemens (52-54, 56)
Silk Road exchange (131)
Silver, David (265)
Simone, Nina (261)
Sipilä, Juha (204)
Sirer, Emin Gün (178)
Siri virtual assistant (39)
Situationism (64, 190)
Slock.it (156, 170, 175-176)
slow jam (music genre) (221)
Slum- and Shackdwellers International (169)
smart city (33, 48, 52, 52, 55, 59)
smart contracts (115, 147, 150, 153-157, 163, 166, 168, 170, 172, 306)
smart home (33, 36, 38, 46, 48)
smartphone (3, 8-33, 38, 49, 64, 67, 72, 77, 133, 137, 273, 285-286, 313)
– as “network organ” (27-29)
– as platform for augmented reality (67, 72)
– as platform for financial transactions (133, 137)
– environmental implications of (18-19)
– incompleteness at time of purchase (17)
– teardown of (14-16)
– ubiquity of (313)
smart property (149-153)
Smith, Zachary (103, 105)
Snæfellsjökull glacier (83)
Snaptrends (227-228, 231, 254)
Sobibor death camp (61)
“social credit” (China) (285, 311)
social dividend (204)
social media (26, 192, 227-228, 276, 286)
Sociometric Solutions (197)
Solanas, Valerie (191)
South Sea Company, the (165)
Soylent nutrient slurry (35)
SpatialKey (227)
Spielberg, Steven (227)
Spivak, Gayatri Chakravorty (311)
Srnicek, Nick (88, 90-91, 111, 190, 203, 205, 303)
“Stacks” (275, 277, 280-281, 283-286, 292-295, 299, 313-314)
Stanford Dogs Dataset (219)
Stanford University (283)
startups (13, 118, 137, 145-146, 280-282, 286)
Stavrides, Stavros (173)
Sterling, Bruce (275)
Stolpersteine (72, 74)
Stratasys (103-104, 108)
Summers, Larry (201)
Super Sad True Love Story (246)
Superstudio (191)
supervised learning (216)
SWaCH wastepickers’ collective (98-99)
Swedish death metal (music genre) (221)
SweepTheStreets (170)
Szabo, Nick (150, 303, 306)

T
Target (retail chain) (196)
Taylor,
– Frederick (35)
– Simon (160)
technolibertarians (140, 150, 283)
Tencent (285)
Tešanović, Jasmina (62)
Tesla (166, 193, 222-225, 243, 254, 264, 270, 285)
– Autopilot feature (222-225, 243, 254, 256, 270)
– Model S (222-224)
– Model X (222)
– operating system 7.0 (222)
tetrapods (301-307)
Theatro (196-197)
Theory of Self-Reproducing Automata (86)
“Theses on Feuerbach” (305)
Thiel, Peter (148)
Thingiverse (103, 105)
Tide laundry detergent (46-47)
Topography of Terror (Berlin museum) (70)
touchscreen (15-16, 38, 43, 194)
travel-to-crime (231)
Tual, Stephan (170)
Twitter (51, 137, 268)

U
Uber (4, 40, 41, 193, 245, 270, 276, 285, 293)
– driverless cars (193, 270)
Ultimaker 3D printer (88, 101, 104, 295)
United States Constitution (230, 235)
universal basic income (UBI) (203-205, 288, 292, 294)
universal constructor (86)
Universal Declaration of Human Rights (91)
University College London (85)
unnecessariat (181, 206, 297)
unsupervised deep learning (220)
Urban Dynamics (56)
Utrecht (204)

V
value network (264)
van Rijn, Rembrandt Harmenszoon (262)
Vélib (2)
Velvet Underground, the (228)
Venezuelan bolívar (122)
Venmo (41)
Verlan (311)
Virginia Company, the (165)
virtual assistants (38, 41-42, 286)
virtual reality (65, 82-83, 275, 296)
Visa (120, 136, 159)
Vitality (36)
Vkontakte (241)
von Furstenberg, Diane (84)
von Neumann, John (86)

W
“wake word” (interface command) (41)
Washington State (192)
Waterloo University (148)
Watt, James (104)
Wendy’s (197)
Wernick, Miles (233)
Westegren, Tim (220)
Western Union (120)
WhatsApp (281)
Whole Earth Review (34)
WiFi (11, 17, 25, 46, 66)
Wiggins, Shayla (63-65)
WikiLeaks (120, 137)
Williams,
– Alex (190, 203)
– Raymond (315)
Wilson, Cody (108, 111)
Winograd Schema (270)
The Wire (54)
Wired magazine (34)
Wolf, Gary (34)
World Bank (133)
World Economic Forum (194)

Y
Yahoo (219)
yamato-damashii (267)
Yaskawa Motoman MH24 industrial robot (266)

Z
Zamfir, Vlad (177)
Zen Buddhism (34, 284)
ZeroBlock application (131)
The Zero Marginal Cost Society (88, 205)

Radical Technologies: The Design of Everyday Life, now available for pre-order

The other night I selected-all in a file on Google Docs and turned the entire text bright red. This was my signal to my editor Leo that I’d made the final round of edits on the last outstanding chapter I owed him. And this, in turn, means that after eight years and eleven months, I’m finally done with the project I started in this blog post. I’ve finished my book.

It is, in too many ways to count, a different book from the one I set out to write. I owe most of this to Leo, actually. Do you know the scene in Inception where Joseph Gordon-Levitt and Tom Hardy, as intruders in the virtual world of another man’s mind, are under assault by the ghostly brigades of their subject’s “militarized subconscious”? Gordon-Levitt’s character is standing at the door of a warehouse, plinking away ineffectually at the encroaching horde with an assault rifle, when Hardy shoulders him aside. With the words, “You mustn’t be afraid to dream a little bigger, darling,” he hoists a massive South African grenade launcher, lobs a round onto the opposite rooftop, and blows things up reeeeal good.

That was Leo. I came to him with a book about cities and technology — a book that had been dangling out in public for six years at that point, a book I’d already published a quarter of — and two chapters into our work on it, he pulled a Hardy on me, in the biggest possible way. “I don’t think you’re writing a book about cities anymore,” he told me, over stand-up espressos beneath the awning of the Algerian Coffee Stores, as drizzle dampened the greasy Soho asphalt. “I think you’re writing a book about Everyday Life.”

I could hear the capital letters, and knew immediately (as my bowels turned to ice) that he was invoking the whole tradition of thought that starts in Michel de Certeau and Henri Lefebvre. Which is to say that he wasn’t simply asking me to paint on a bigger canvas, though he was definitely doing that. He was demanding that I take myself and my work seriously, and understand that what I was writing might someday find its place on a shelf alongside people who had actually contributed to Western thought and culture. (In Lefebvre’s case, rather explosively, given his influence on the events of May ’68.)

It put the zap on my head so hard that I didn’t get any further work done on the book for a good six months.

I don’t know what it’s like for you. I won’t presume to say I understand anyone else’s interiority, or process, or approach to their work. I imagine that there are some creators who are safely armored by a transcendent belief in their own talent, who glide through pitches and contracts and reviews lubricated by a sense of inevitability and rightness. I’m not one of those people.

So in a way, what Leo did to me was cruel. But it also led directly to a change of title, a change of scope, and a much bigger and more ambitious book. What had started out as a rather constrained proposition turned into a sprawling survey of some of the major ways in which networked information technologies shape the choices arrayed before us. I should be clear that it probably misses as much as it gets right; I have a sustained history of focusing too much on the wrong aspects of a technology, or at least not the aspects that turn out to be most salient to our understanding of it, and I’m not sure it’s any different here.

I’m also a little gutted to have written a book that’s so obviously and prominently about information technology. As I’d originally envisioned it, this was supposed to be a decisive pivot away from all of that, and toward the thing I care more deeply about, which is the life of cities. But as Nurri always reminds me, there are any number of writers in the world who have deeper or more original insight into cities. It just isn’t what people seem to want from me. After awhile, if you’re smart, you listen to what the world tells you about what it wants from you, with intense gratitude that it appears to want anything at all.

So: Radical Technologies: The Design of Everyday Life, now available for pre-order.

In its ten chapters, I take up some of the recent and emerging technical developments that now condition the way we experience the everyday, just about everywhere on Earth. I start with the smartphone, ready-to-hand as it is, and continue on to augmented reality; the so-called internet of things; 3D printing, CNC milling and other digital fabrication technologies; cryptocurrency and the technology underlying it, the blockchain; and finally the constellation of practices and ideas that is dedicated to the eclipse of human discretion, and includes machine learning, the automation of work and artificial intelligence. I spend some time considering the ways in which these discrete techniques are brought together in particular ensembles and commercial value propositions — and by whom, and particularly toward what ends — and finish up by asking if there’s a space for tactics or even resistance available to us in any of this. All in all, I think it’s turned out rather well.

Most writers say something along these lines, but it’s really true and I really do mean it: though I take full responsibility for whatever infelicities and misapprehensions remain, just about all the good in this book arises from the conversations I’ve had with you. It’s not — and I’m not — Lefebvre, but that’s OK. It’s not half-bad. I don’t think I’ll ever stop being grateful.

I’m rather fond of the title, by the way. It’s ambitious, a title to conjure with. It has a certain amount of what the Rastafarians used to call Dread. I don’t know if the book I’ve written really deserves a title like that, but I guess you’ll let me know, won’t you?

Thanks to those of you who came along for the ride — especially those who’ve stuck with me all the way from that first blog post, when I was promising you a self-published book called The City Is Here For You To Use, and it was 90% a reaction to the incompetence of my first publisher. Thanks doubly to the 859 of you (!) who ponied up to pre-order that book, most of you in the weeks immediately following the project’s announcement, and who had to wait until the last quarter of 2013 to get your hands on anything resembling the thing you’d ordered. Thanks, eternal thanks, to Leo Hollis, for kicking out the jams. And thanks always to Nurri for sticking with me through all the chicanes and blind alleys of this endless, endless project. Let’s see what happens now.

On counter-hegemony, or: “I got it! We’ll have them write hit songs.”

At the moment, I’m neck-deep in my Verso stablemates Nick Srnicek and Alex Williams’s still-newish book Inventing the Future; things remaining more or less stable schedulewise, I’ll most likely finish it later on today, or tomorrow at the latest.

It’s a strange book, Inventing. You may have caught some of the buzz around it, and that buzz exists for good reason. (It’s not just the superspiffy totebags Verso had ginned up for it, though I’m sure those do not hurt one whit.) At its heart a passionate argument against work and for an end to neoliberalism and its reality control — forged along the same rough lines as those Paul Mason and the Fully Automated Luxury Communism kids are currently touting — Inventing is a genuinely curious mixture of crystal-clear analysis, righteous provocation and infuriating naivety. If you’re even remotely interested in what emergent technologies like machine learning and digital fabrication might imply for our capacity for collective action, and especially if you think of yourself as belonging to the horizontalist left, you should by all means pick it up, read it for yourself and form your own judgments. (Here’s Ken Wark’s take on it; I endorse most of his thoughts, and have a great deal of my own to add, which I’ll do in the form of my own forthcoming book.)

Late in the book there’s a passage concerning the stance Srnicek and Williams feel the postcapitalist left needs to adopt toward the mainstream media: if the “counter-hegemonic” project they describe is to have any hope of success, they argue, “it will require an injection of radical ideas into the mainstream, and not just the building of increasingly fragmented audiences outside it.”

Well. It must be said that this is not one of the book’s high points. In its latent suggestion that the only reason Thomas Piketty and Donna Haraway aren’t cohosting a lively, popular Sunday-morning gabfest on NBC right this very moment is because we, the progressive public, are somehow not trying hard enough, or have failed to sufficiently wrap our pointy heads around the awesome conditioning power of the mass media, in fact, it’s somewhere between irritating and ridiculous. (It’s hard for me to see how Srnicek and Williams’s argument here is substantively any different from that stroke of market-savvy inspiration the beloved but famously marginal Minutemen skewered on the cover of their second-to-last album. And now you know where the title of this post came from.)

Nevertheless, they’re onto something. Though that more-than-faintly patronizing tone never quite dissipates, S&W eventually find themselves on far firmer ground when they argue that “[l]eftist media organizations should not shy away from being approachable and entertaining, gleaning insights from the success of popular websites.” I was able to shake off the momentary harrowing vision I had of Leninist Buzzfeed, and press on through to what I take to be their deeper point: radical thought can actually resonate broadly when care is taken to craft the language in which that thought is expressed, and still more so when insular, self-congratulatory obscurity is avoided in the design of its containers. I endorse this notion wholeheartedly. This recent appreciation of Jacobin hits many of the same notes; whatever you think of Jacobin‘s politics, it’s hard to deny that its publishers consistently put together a sprightly, good-looking read. (I’d call it “the Monocle of the left,” but that would be to imply that Monocle‘s content is far more compelling than in fact it is.)

You might still argue that S&W ought to spend a little more time with McLuhan. My own feeling is that there’s more to distrust about the “mainstream media” than merely its overtly political content — that consuming information in the form of tweets, listicles, Safety Check notifications, screens overloaded with crawlers, and possibly even glowing rectangles themselves is hard to square with the kind of awareness I at least find it necessary to cultivate if I’m to understand anything at all about the way the systems in which I’m embedded work.

But ultimately, these are quibbles. I agree with S&W when they argue that overthrowing the weaponized “common sense” of the neoliberal era is an explicitly counter-hegemonic project; that developing a functioning counter-hegemony is something that requires longterm commitment; and that those with truly radical programs need to reconsider the relationship between “pop,” “popular” and “popularity” if that whole hearts-and-minds thing is ever going to work out for them. (I’m honor-bound to point out that Saul Alinsky said as much fifty years ago, but perhaps that too is a quibble.) So: no. I have no problem at all with presenting complex and potentially challenging ideas accessibly, so long as they can be rendered accessible without dumbing them down. If successful counter-hegemonic media looks a whole lot more like a Beyoncé video than some preciously anti-aesthetic art installation, so much the better. Bring on the hit songs.

Further notes on the quantified self

We can surely read the various technologies of the quantified self as tending to “ensure that people continue to act and dream without any form of connectedness and coordination with others” (Stavrides), and this quick, cogent piece will only reinforce that sense.

Now, I can imagine a world — just barely, but it can be done — in which the capture of biometric measurements by a network with qualities of ubiquity and persistence was somehow not invidious. I can even imagine a world in which that capture resulted in better collective outcomes, physically, psychically and socially. But in our world, the one we actually live in, I think the very best we can possibly hope for from these technologies is positive-sum competition, a state in which each of our individual outcomes only improve for the fact that we are set against each other.

That’s the best-case scenario. Even that is still competitive, still oriented solely toward the individual, still only bolsters the unquestioned supremacy of the autonomous liberal subject. And far more likely than the best case, frankly, is the case in which data derived from these devices is used to shape life chances, deprive us of hard-won freedoms at work, mold the limits of permissible expression or even bring violence to bear against our bodies.

My bottom line is this: Though I’d be happy to be proven wrong, given everything I know and everything I’ve seen it is very, very difficult for me to imagine socially progressive uses of quantified-self technologies that do not simultaneously generate these easily foreseeable, sharply negative consequences. It may be my own limitations speaking, but I can’t see how things could possibly break any other way. In this world, anyway.

VR: I’m frankly surprised they admitted this out loud

Wagner James Au, who would know, has what in a better world would be an incendiary piece in the latest Wired. Au’s piece lays it all right out there, regarding the meaning and purpose of virtual reality.

As VR’s leading developers straight-up admit in the piece, its function is to camouflage the inequities and insults of an unjust world, by offering the masses high-fidelity simulations of the things their betters get to experience for real. Here’s the money quote, no pun intended: “[S]ome fraction of the desirable experiences of the wealthy can be synthesized and replicated for a much broader range of people.” (That’s John Carmack speaking, for future reference.)

I always want to extend to those I disagree with some presumption of good will. I don’t think it’s either healthy or productive or pleasant for the people around me to spend my days in a permanent chokehold of high dudgeon. And I always want to leave some room for the possibility that someone might have been misunderstood or misquoted. But Au is a veteran reporter on this topic; I think it’s fair to describe his familiarity with the terrain, and the players, as “comprehensive.” So I rather doubt he’s mischaracterized Carmack’s sentiments, or those of Oculus Rift founder Palmer Luckey. And what those sentiments amount to is outright barbarism — is nothing less than moral depravity.

The idea that all we can do is accede to a world of permanent, vertiginous inequity — inequity so entrenched and so unchallengeable that the best thing we can do with our technology is use it as a palliative and a pacifier — well, this is everything I’m committed to working against. Thankfully there are others who are also doing that work, who understand the struggle as the struggle. Thankfully, I think most of us still understand Carmack’s stated ambition as vile. We do, right?

I’ll have more to say about the uses of VR (and its cousin augmented reality, or AR) shortly.

Antecedents of the minimum viable utopia: Cliff Harper’s “Visions” series

Clifford
Clifford Harper, Vision 1: Collectivised Garden, in Radical Technology, 1976.

Twenty-five years ago, just after the outbreak of the first Gulf War, I moved into an anarchist co-op in the Upper Haight. (If you know the neighborhood at all well, you’ve almost certainly stood beneath my room: the bay window jutting directly above the ATM on Belvedere Street, at the time and for many years thereafter the only one for over a mile in any direction.) Though its every fiber was saturated with the sad pong of sexually deprived male bitterhippies in early middle age, the flat nevertheless (/therefore?) boasted one of the most impressive specialist libraries I’ve ever encountered.

No doubt because many of the flat’s residents had historically been associated with the Haight’s anarchist bookstore, Bound Together, its shelves had over the years accumulated hundreds of rare and unusual books on squatting, DIY technique, self-housing, revolutionary syndicalism, the politics of everyday life and so on. Among these was a curious 1976 volume called Radical Technology. Something between a British Whole Earth Catalog and an urban Foxfire book, Radical Technology presented its readers with a comprehensive and detailed blueprint for self-reliant, off-the-grid living.

Each of the book’s sections was fronted by an elaborate illustration depicting what typical British spatial arrangements — terraced housing, allotments, council estates, parish churches — might look like after they’d been reclaimed by autonomist collectives, in some not too terribly distant future. Unlike some of the more heroic imaginaries that were floating around in that immediate pre-Web epoch, you could readily imagine yourself living in their simple everydayness, making a life in the communal kitchen and sauna and printmaking workshop they depicted. From the material-economic perspective of someone residing in a shabby flat in the Upper Haight circa 1991, struggling to eke out a living as the city’s worst and clumsiest bike messenger, it would clearly be a good life, too: austere, perhaps, in some ways, but fulfilling and even generous in every register that really counts. (To be sure, this was a sense the illustrations shared with contemporary real-world outcroppings of late hippie technology in both its particularly British and its Bay Area variants, and I’d seen traces of it crop up in squats and urban homesteads back East, wherever someone resident had been infected by the Whole Earth/Shelter/Pattern Language ethos.)

I clean forgot about Radical Technology for a quarter century, but I never did forget those drawings. I had no way of reconsidering them, though, let alone pointing anybody else at them, until the other day, when Nick Durrant recognized my vague handwavings for what they were: a description of the “Visions” series anarchist illustrator Clifford Harper contributed to the mid-70’s British journal Undercurrents. (These issues of Undercurrents were subsequently anthologized as the book I’d come across; here’s scans of Harper’s entire series.) I had to smile when I read the account of “Visions” on Harper’s Wikipedia entry, as it could not possibly have been more on the nose:

These were highly detailed and precise illustrations showing scenes of post-revolutionary self-sufficiency, autonomy and alternative technology in urban and rural settings, becoming almost de rigueur on the kitchen wall of any self-respecting radical’s commune, squat or bedsit during the 1970s.

My memory of Harper’s “Visions” returned with such force not because I’d suddenly developed nostalgia for the lifeways of alternative San Francisco in the first ripples of its death spiral — though those house-feedingly enormous vegetarian stir-fries sure were tasty — but because the way of doing and being they imagined seems relevant again, and possibly more broadly so than ever before.

Something is clearly in the air. The combination of distributed, renewable microgrid power with digital fabrication, against a backdrop of networked organization, urban occupation and direct action, seems to be catalyzing into a coherent, shared conception of a way forward from the mire we find ourselves in. Similar notions crop up in Paul Mason’s Postcapitalism, in Jeremy Rifkin’s The Zero Marginal Cost Society (the particular naivety of which I’ll have more to say about in short order), in Nick Srnicek and Alex Williams’ Inventing the Future, and the same convergence of possibilities animated my own first pass at articulating such a conception, a lashed-up framework I rather cheekily called the “minimum viable utopia.”

These conceptions of the possible are all pretty exciting, at least to those of us who share a certain cast of mind. What they’re all missing, though, to a one, is a Cliff Harper: someone to illustrate them, to populate them with recognizable characters, to make them vivid and real. We need them to feel real, so when we print them out and hang them on the walls of flats where the rent is Too Damn High and the pinboard surfaces of the cubicles where we grind away the mindless hours, we remember what it is we’re working so hard to bring into being.

At the very least, we need them so that those who follow us a quarter century from now understand that they too belong to a lineage of thought, belief and action, just as anyone who’s ever been inspired in their work by the Harper illustrations does. Some days, just knowing that line through time exists is enough to get you through the day.

Architetti Roma interview

The following is an interview with me conducted by the Italian architectural magazine Architetti Roma. This one focuses on issues of mobility and, as always, I hope you find it illuminating.

What are the urban contexts where technology and mobility have brought about the best outcomes?
To clarify, here we should make it plain that we’re strictly talking about networked information technology, and not, say, developments in power-train technology or materials engineering. And of relatively recent developments in this field, I’m particularly fond of a smartphone app called Citymapper. It’s like being handed the keys to the city.

Consider that I arrived in megacity London with nothing more than the vaguest mental map of the place, and still less of a sense of how to get around it. And what Citymapper let me do was dive right in, the night I got here. I could hop on a bus and go meet friends, and know exactly where I had to wait, what bus to take, where to get off and how long the trip would take me. It radically lowered the threshold of fear and uncertainty that keeps us sequestered in our local neighborhoods. Not within the weeks or months that it might have taken me to wrap my head around the transit network’s endlessly ramified field of possibilities in any previous age — immediately. And this is a service that’s available for zero incremental cost, to anyone with the wherewithal to afford a smartphone and a data plan. Now that is truly radical, a truly epochal development in urban mobility.

There are only two issues with it, really. The first is that Citymapper only works so well in London because TfL, our local transit authority, offers a generous selection of real-time APIs, the open application programming interfaces that allow a service like Citymapper to grab, represent and make use of that information. It wouldn’t be nearly the same thing in a city that didn’t, just not at all the same proposition.

The second, more serious problem is that Citymapper — like all other services positioned as products in the late-capitalist marketplace — is subject to churn. It’s not stable. A new version can appear at any time, might even be pushed to your device in such a way that you don’t get to choose whether you want it or not, and you’ll find that the features, conventions and metaphors you’ve come to rely upon and stored in muscle memory just don’t work the same way anymore. And if Citymapper’s CEO decides that his personal future and his investors’ outcomes are best secured by choosing to sell the service in toto to Apple or Google, then that’s what’s going to happen. And there’s not a damn thing you or I or anyone outside that decision loop can do about it.

So, yes: we’ve been handed the keys to the city, but they can be yanked away at any time. At any moment, TfL can decide that it no longer wants to provide real-time APIs, Citymapper can decide that it no longer wants to support a given city, Apple can decide that it no longer wants to allow third-party journey-planning services on its platform. Our golden age is real, but it’s terribly vulnerable.

Are you familiar with Rome? What in your opinion are the technology applications that could be suitable for Rome?
I’ve only spent three days in Rome in my adult life. I just don’t think I’m qualified to speak in anything more than generalities about what might or might not work there. But, sure, in any place where there’s a single accountable public transit authority, and that transit authority offers reliable real-time APIs, there’s no reason that something like Citymapper couldn’t work and work well.

Roman traffic is also, of course, legendary, and that’s something I can very easily see yielding to automated vehicle control. The deeper question there is the extent to which Romans actually cherish the impossibility of getting around, as part of their identity in the world. Letting go of that may be more of a obstacle than any of the material challenges of implementing automated mobility.

Considering Uber and similar services, do you think they are a positive solution for urban mobility?
My position on Uber is rather well-known.

Google’s self-driving car has just been presented. Do you think it will catch on? In what time frame?
Well, firstly, I think Google itself is further away from fielding a solution that will work anywhere outside of Mountain View than is generally understood. The media hype has been very misleading. And secondly, Google is far from the only actor currently working to resolve this envelope of challenges. Despite their power, reach and influence, we should never make the mistake of collapsing the ideas of “autonomous personal transportation” and “Google.”

That said, it will happen, one way or another. I don’t think it’s a question of “catching on,” so much as one of getting the necessary regulatory, legislative and risk-assessment frameworks in place. And this is one of those very rare contexts where I believe that the information-technological approach really is unambiguously superior to the way we do things now.

In the United States alone, we sacrifice more than 30,000 human lives a year to misplaced confidence in our own ability to manage the performance regime presented to us by the car. People drive drunk, while texting, when they’ve just had an argument with their partner. Long-distance truckers drive bent half out of their mind on sleeplessness and crank because that’s what’s demanded of them by the economics of contemporary logistics. People drive in the morning to minimum-wage jobs that are two hours away because they’re the only ones that were on offer, on sleep that’s already been brutally truncated by the two hours it took them to get home the night before. People use vehicles as weapons — to bolster their sense of self, to claim space from the others they feel encroaching on them at every turn, to assert dominance in a world that makes them feel like they’ve been zeroed out. And algorithms even at their clumsiest stand to do a better job in each and every single one of these circumstances.

But “unambiguously better” doesn’t mean “perfect.” The disruption, in particular, to working-class livelihoods will be dreadful. If unanticipated, unaccounted for and unresponded to, in fact, I venture to say it will cause misery easily on the order of those 30,000 annual deaths. And that’s quite a thing to say. It’s why I support the provision of universal basic income, to at least buffer the havoc automation is sure to wreak on our societies as it transforms mobility, logistics and a thousand other fields.

Could you draw some possible scenarios regarding the use of technologies in the field of mobility ten years from now?
Ten years is a long, long time in my field. It’s the far future. Consider that ten years ago, we didn’t even have smartphones. Given all the wildly interacting factors at play, and the ever-present likelihood that their interaction will render our world effectively ungovernable, I’m just not comfortable prognosticating.

Make City Berlin 2015 interview

This coming June, I’ve been invited to offer a keynote that will function as a hinge between two complementary events of Berlin’s Make City Festival 2015: a workshop called “Science Fictions: Smartology as a New Urban Utopia” on Friday the 19th, followed by a public symposium called “Beware of Smart People! Re-defining the Smart City Paradigm towards Inclusive Urbanism” that takes place on Friday and Saturday the 20th both.

As part of the run-up to the events, the organizers asked me to answer a few questions for a newspaper they’re putting together for free distribution at the Festival. I’ve reproduced this interview below, and hope, as ever, that you enjoy it.

Why is the “Smart City” relevant to a broader public?
It’s only relevant because at the moment this is the predominant conception of the way in which networked information technology ought to be deployed in cities to aid in their management and governance, and it encodes within it a pathetically circumscribed vision of urban citizenship. As far as classic conceptions of the smart city are concerned, your sole job as a citydweller is to generate data which can be captured, analyzed and acted upon by administrators — those are the limits of participation.

Another way of putting it: If the municipality you live in buys and deploys this technology, your life will be affected by it, whether you particularly care about this thing we call the “smart city” or not. Your choices will be conditioned, your scope of action curtailed, and your ability to shape the circumstances of your own life constrained, in ways that might not appear immediately obvious, for the ultimate advantage of others. You do not have a voice other than in the aggregate. And while this is a rather bleak prospect, it’s easily enough avoidable if enough people come to understand what’s at stake in the deployment of these technologies, and refuse to let it unfold unchallenged.

How can a focus on people as urban knowledge producers help to redefine the technology and market oriented concept of the Smart City?
That’s a pretty abstract and, to my way of thinking, overly intellectualized way of framing what it is we do as residents of an urban place and as participants in a community. Do we “produce knowledge”? Yes, of course we do: at all times, all of us, both individually and collectively. We produce knowledge about place, most of which is and only ever can be tacit, and it’s important to understand that this is what ordinary people are in fact doing as they pursue the course of their everyday lives. It’s not, or not exclusively, the regime of experts and specialists.

But is that the best — the most satisfying or resonant — way to construct what it is we do as city people? I would argue that it isn’t. I would, in fact, argue that in a sense it dovetails all too well with the command-and-control model implicit in the smart city rhetoric, because if we’re all “urban knowledge producers,” the implication is that some sufficiently subtle array of technical systems will be able to capture that knowledge, derive actionable inferences from it and make it available to be acted upon remotely.

So I prefer to focus on participation. I prefer to understand everyone in the city as an actor, an active and vital contributor — someone who is capable of mobilizing knowledge and bringing it to bear on the matters of concern they themselves perceive.

How can smart people become active participants in new urban governance models based on knowledge sharing and coproduction?
Understand that I’m not at all interested in “smart,” in smart anything. What I am interested in is creating circumstances in which ordinary citydwellers are able to acquire an refined understanding of all the circumstances that shape their participation in civic life, whether those circumstances are technical, political, economic or psychological.

We should, in particular resist the notion that every last citizen needs to acquire a high degree of specifically technical competence — the inane calls for everyone to learn to code, and so on. Not everyone has the cognitive propensity, not everyone has the ability, and quite simply not everyone wants to. But this is not the same thing as groups of neighborhood scale acquiring a greater collective sophistication as to how informational-technical systems work and what it is that they do. It’s crucial that we demystify these things, but it’s neither necessary or possible for everyone to acquire the habits of mind of a software engineer.

What we need, therefore, is for those who do have the propensity, the capability and the insight into the workings of technical systems to share that insight, in terms ordinary people can relate to. For many, it will mean developing a theory of mind that will guide them in understanding what it is that people don’t understand, and what metaphors are best suited to helping explain these systems and their functions without condescension or oversimplification.

Everybody who possesses comfort and competence with information-technical systems needs to realize that from now on, part of their job is to function as a translator. And this will be frustrating. There are literally different cognitive styles involved, different intelligences, and bridging between the divergent models of the world people hold, however unconsciously or inarticulately, is by no means a straightforward or a simple thing. But it’s not optional, not if we believe in the right of ordinary citydwellers to understand the systems that condition their everyday choices.

How do smart people redistribute urban resources and reconfigure urban spaces?
This is not, of course, a technical question. I personally believe we need to ensure that the information-technical systems which increasingly govern the distribution of (material-energetic, spatial, financial or attentional) resources in the city work in as self-explanatory a way as can possibly be achieved, and that the valuations bound up in them remain available for inspection and renegotiation at all times. But this ambition ultimately relies on how we choose to organize ourselves in a polity, what values we hold and enact in our collective decisions. We cannot achieve any such thing if we do not first believe we have the right and the affirmative obligation to do so, and in fact that the exercise of all our other rights will ultimately come to depend on our doing so.

Zeroville-on-Khambhat, or: The clean slate’s cost

A response to a piece Ayona Datta wrote for the forthcoming Dialogues in Human Geography, which I am pleased to present to you on the occasion of the Urban Age Delhi conference on Governing Urban Futures.

«Dites donc, c’est pas Alphaville qui faut appeler votre patelin, c’est Zéroville!»
– Eddie Constantine as private eye Lemmy Caution, in J.-L. Godard’s Alphaville (1965)

In her paper examining the Indian “smart city” development of Dholera, Ayona Datta furnishes us with a very welcome case study in just how elite actors mobilize the language and appearance of technological contemporaneity to achieve ends of displacement. Her analysis is straightforward and capably presented, and the most useful thing I can do in the space allotted to me for commentary is cosign, and hopefully amplify, certain of her conclusions.

Datta, as I understand her, has two fundamental aims here. The first is simply to establish that in the claims made on its behalf, in its disconnection from the history of the land, in its mendacity about its actual purpose, and in every other relevant register, the development site of Dholera is utterly exemplary of the smart­ city paradigm so many of us have inveighed against over the past half­-decade or so. The second — to me, a more interesting and more enduringly valuable ambition — is to demonstrate that this existing line of critique is insufficient to understand the particular kind of work Dholera does in Indian politics.

What any such understanding would require is a kind of multipronged forensic analysis, and that is precisely what Datta provides. In the case of Dholera, an account of the actual site, its physical characteristics and existing demography are no less crucial to the development of insight than the provisions of the enabling legislation facilitating the new city and the highly interested language swirling around it. And without wanting to be overly actor-­networky about things, this attention to detail — to the ways in which specific institutions, events, personalities, laws, and phrases mesh with one another to produce a state of affairs — is the most welcome aspect of the article at hand.

So what is Dholera?

We learn that it is a 903 km^2 development site in the Indian state of Gujarat, masterplanned by the UK engineering firm Halcrow, with some ten percent of its budget provided by the Indian national government and Japanese enterprises (specifically Hitachi, Mitsubishi, Toshiba, JGC and TEPCO), and the balance by unspecified but presumably domestic “private sector” entities.

We learn that — just like the canonical smart cities that came before it, among which the South Korean New Songdo and Abu Dhabi’s Masdar City remain the most widely known — Dholera is promised to be a place where embedded information-­technological services and systems mediate every aspect of everyday urban life. Everything from personal mobility to access control and the functioning of the supply and removal chain is to be handled by IT vendors, “optimized” in the name of maximum efficiency. (That this model of urbanity bears no resemblance whatsoever to the way in which any Indian city current or historical functions doesn’t matter; indeed, as we’ll see, it’s an important part of the value proposition.)

And, like the canonical smart cities as well, we learn that Dholera is represented to the world by its backers as having been magicked into being from nothing, on what planners are pleased to call a “greenfield site.” But of course the terrain upon which this tomorrowland is to be built wasn’t precisely a bare Cartesian plane beforehand: parcels of land had to be acquired to make the project a reality, and the people living and working on those parcels dealt with somehow.

The particular history of this process of acquisition and displacement (and the local resistance to it) deserves sustained attention. In Datta’s telling, this smart city with Indian characteristics turns out to be a place where the impoverished people who currently occupy the site — subsistence farmers and fishers, mostly, with soil rendered barren by previous government misadventures in macroengineering, and a literacy rate that stands twenty full points lower than India’s average of 77% — have been convicted by more powerful forces of failing to fully capitalize on the value latent in their land, and sentenced to expulsion.

Here we see how a global body of rhetoric, promulgated primarily by all­-but­-placeless multinational enterprises, converges with powerful regional and class interests, squeezing the nation-­state (and the better part of its citizenry) to a thin paste between them.

As Dholera functions within Gujarat, so does “investor­-friendly” Gujarat function within India. Depicted by its own business-development initiative as “Vibrant Gujarat,” the state is home to both India’s Prime Minister Narendra Modi, and the philosophy of governance he pursued as the state’s Chief Minister between 2001 and 2012, a policy stance that has been described as “native­-born neoliberalism.” For over a decade, the state has consciously positioned itself as a testbed for techniques and practices that are seen as efficacious in overwriting external perceptions of India as teeming, mired in grinding, endemic poverty, and riven by communal strife with an image more consonant with its ambitions and hopes. These techniques and practices amount to a “Gujarati model,” intended to realize “maximum governance with minimum government,” and a nation desperate to cut the fetters imposed by its legendary bureacratariat might well regard that model as a turnkey solution for its own economic problems. This was the broadly implicit — and at times, entirely explicit — message of the 2014 Modi campaign, and indeed the Gujarati model has become national policy since his election to the Prime Ministership.

In a pungent and fascinating passage, Datta traces the development of this discourse to Modi’s Asian peregrinations. Denied entry to the US, UK and EU for his role in fanning Gujarat’s vicious communal pogroms of 2002, Modi took to visiting China and Japan instead — and there, Datta argues, he encountered both a “Shanghai model” of top-­down citymaking, readymade for transplantation into Gujarati soil, and a set of institutional partners prepared to foot the bill. The bitter irony is that identification with the program of crash urbanization that resulted is what lubricated Modi’s ongoing and evidently successful pivot from red­handed champion of the Hindu far right to polished global statesman — all of which suggests that well-­intentioned British and American moves to marginalize the firebrand of 2002 may have resulted in the mother of all unintended consequences.

For reasons of investor confidence, if no other, it was important that whatever happened in Gujarat was seen to transpire under the rule of law. Ensuring the formal legitimation of whatever measures it deemed necessary in the development of Dholera, the State of Gujarat granted itself new powers of eminent domain, leaving the victims of dispossession quite literally no ground to stand on.

Here Datta embarks upon the sort of detailed explication that helps us understand how a single piece of legislation (specifically, Gujarat’s 2009 Special Investment Region Act) allowed the state to do an end run around provisions dating to 1894 that guaranteed small holders both due process and fair recompense for land forcibly acquired. Under SIR’s terms, the state simply had to designate land as “needed for public purpose,” while nothing compelled them to compensate those with existing tenure; and of course parcels assembled in this way could then be transferred to whatever “parastatal” or entirely private development partners the state found congenial.

But after all the farmers and fishermen have been chased from the land, the digital infrastructure laid down, and the golf club opened for business, what of day-­to­-day life in this environment? Here is where more of the detail that Datta lavishes on other aspects of her tale would be welcome; specifically, I would have appreciated a closer look at the social and spatial logic of this ostensibly smart place on Earth. But then Dholera, like Masdar and Songdo before it, may as yet (and forever will?) be too unrealized to permit this sort of interrogation. What we do know is that Dholera’s promise/premise of furnishing citizens with information allowing them to “manage their lives better” dovetails perfectly with the neoliberal fetish for the individualization of responsibility, and parallel de­emphasis of collective or solidaristic action of any sort.

This, however, is only to scratch the surface of the questions we could ask of this project. If one were of a particularly sincere cast of mind, and thought that honest answers might actually be forthcoming, one might want to inquire as to why all of the following were so heedlessly conflated in Dholera’s conception:

— the perceived necessity of developing entirely new urbanized sites as a response to India’s social and economic transformation;

— the desirability of doing so using putatively “advanced,” i.e. imported, methodologies, practices and paradigms;

— the degree to which such models do or can speak to the needs and desires of the populations they are ostensibly intended to benefit;

— the suitability of information­technical systems and services as means to any ends articulated by these populations; and

— the identity of the institutions, organizations or actors best placed to achieve the conception and deployment of such systems.

But it may well be pointless to ask such things of Dholera’s promoters, or to subject their rhetoric to any particularly fine level of analysis. Like “eco­,” “green,” and “sustainable,” it appears that “smart” is simply the latest in a series of terms used to wreathe development projects with a superficial gloss of contemporaneity. Indeed, despite the claims of advocates that it could only operate at peak efficiency when designed and purpose-
built from the ground up to accommodate information technology, Dholera wasn’t identified (by its developers, or anyone else) as a “smart city” until 2012, some three years after the project’s inception. This record suggests that, like any other sufficiently interested party, the actors responsible for developing Dholera are comfortable latching onto just about any old justificatory apparatus if it serves their short­term needs — helping the project pass through the decision gate of an endorsement, authorizing vote or allocation of investment — and discard it without compunction once it has outlived its utility.

When someone lays out the evidence as clearly as Datta does here, one conclusion is unavoidable: the point was never, really, to engineer an all­-seeing technological utopia. It was to dispossess the near-­voiceless of their land and turn it to the ends of optimal revenue generation. At times, various actors involved in facilitating Dholera’s transformation from salinated flatland to smart city have been surprisingly forthright about their values and motivations. Datta quotes Amitabh Kant, CEO of a state-­sponsored enterprise invested in the project, as mentioning that “the key challenge” to transforming India “will be to monetize land values.” Meanwhile, the Indian Intelligence Bureau justifies the surveillance it maintains on the lower­caste activists resisting the seizure of their land on the grounds of their involvement in “anti-
development activities.” The degree of cooptation of the apparatus of state on view here is truly impressive; not even in the US or the UK are the logics of accumulation by dispossession generally quite that close to the surface.

But why this particular confluence of ideas, why India, why now? We are often told, in the West, that India’s cities are now home to a growing middle class — crores of people liberated from the village and its strictures, flush with capital pumped into the economy by globalization’s outsourced engineering and back-­office operations, and beginning to flex their consumerist muscles. Given the very real benisons of all this material comfort and choice, it may well be that those on the receiving end of it are not overly inclined to question where it all comes from.

One result of this is that perhaps nowhere else in the world has reified “IT” to the extent that India has. That I can tell, anyway, the acronym is universally understood at all levels of Indian society — and nearly as universally, is understood to be desirable for its connotations of efficiency, effortlessness, logic, clean­room sterility and sheer modernity. It is a thing and a force both, something one applies to a circumstance to make it better. And to be a software engineer in this new economy is a noble thing, for in the end what else does so much of the new prosperity consist of but software?

In such a charged environment, the unremarkable trappings of postindustrial knowledge production acquire a curious valence in and of themselves. One can get some sense of what this looks like from Dholera’s promotional materials, which are dense with bombast and puffery of a distinctly Indian flavor: the state government’s act of having “appointed a consultant to develop the master plan of the project” and the involvement of “a global IT powerhouse” (transparently Cisco) are in themselves proffered — and perhaps even accepted by the intended audience — as guarantors of excellence.

I have no interest in judging an entire people’s aspirations, but the darker and more troubling aspects of all this are obvious. Among other things, the uncritical embrace of practices, arrangements and ways of doing things that originate in the developed world, and must therefore be “modern,” allows propositions that wouldn’t otherwise stand up to the slightest challenge to pass by without comment. Perhaps this explains why the State of Gujarat’s due diligence doesn’t seem to have extended to wondering why the master­planner they entrusted with the development of a megacity destined to be twice the size of Mumbai — the UK-­based engineering practice Halcrow — had no other successful urban planning engagements to its name, nor why its business fundamentals were evidently so weak that it had to be bailed out (and was eventually fully acquired) by the American concern C2HM HILL. Even mild skepticism regarding such matters would be powerfully salutary, particularly at a moment when the Modi government plans to plant one hundred such cities on the land.

This is why I’m glad to see Datta throw a little shade at relative optimists like Ashis Nandy, quoted here to the effect that whatever our reservations now, all will be well in the fullness of time, as India’s propensity to “corrupt” the best­laid plans renders the alien imposition of the smart city “impure…but ultimately less malevolent.” This is charming, and undoubtedly contains an element of truth, but as Datta implies, it verges on irresponsible naivete given the power of certain imperial discourses to transform subjectivity.

And in the end, subjectivity — the realm of sentiment, hope, fear, pride and desire — is far more central to the whys and wherefores of Dholera than might appear to be the case. For a state that has solid historical justification for wanting to believe in the possibility of a new beginning, the notion of rebuilding from a truly clean slate must be all but irresistible. There are many, no doubt, for whom this insistence that the ghosts of 2002 be plowed under constitutes a virtue — indeed, a primary aspect of Dholera’s appeal. For millions of young Indians just now coming into their maturity, it’s easy to imagine how tempting it must be to treat historical events that happened in childhood as bygones that should remain bygones, and considerations of communal, religious or caste identity as baggage from the past that has no place in an India founded on gleaming clean-­room technology. They may well be willing and more than willing to overlook the fiction of its origin myth, if Dholera’s promise of a new and glorious dawn can only be extended to Gujarat, to Narendra Modi, to India itself.

What remains clear is that others will pay the price for that wiping of the slate. Where master-planned High Modernist environments like Brasilia and Chandigarh at least paid lip service to the notion that issues of social justice could be addressed via the technics of the built environment, Dholera doesn’t even rise to that low standard. From the evidence at hand here, it seems certain that this smart city is destined to do little but inscribe further injustice and sorrow on the land. And for demonstrating just what the rhetoric of the smart city accomplishes on this particular terrain, at this particular moment in history, we have Ayona Datta to thank.

Weighing the pros and cons of driverless cars, in context

Consider the driverless car, as currently envisioned by Google.

That I can tell, anyway, most discussion of its prospects, whether breathlessly anticipatory or frankly horrendified, is content to weigh it more or less as given. But as I’m always harping on about, I just don’t believe we usefully understand any technology in the abstract, as it sits on a smoothly-paved pad in placid Mountain View. To garner even a first-pass appreciation for the contours of its eventual place in our lives, we have to consider what it would work like, and how people would experience it, in a specified actual context. And so here — as just such a first pass, at least — I try to imagine what would happen if autonomous vehicles like those demo’ed by Google were deployed as a service in the place I remain most familiar with, New York City.

The most likely near-term scenario is that such vehicles would be constructed as a fleet of automated taxicabs, not the more radical and frankly more interesting possibility that the service embracing them would be designed to afford truly public transit. The truth of the matter is that the arrival of the technological capability bound up in these vehicles begins to upend these standing categories…but the world can only accommodate so much novelty at once. The vehicle itself is only one component of an distributed actor-network dedicated to the accomplishment of mobility; when the autonomous vehicle begins to supplant the conventional taxi, that whole network has to restabilize around both the vehicle’s own capabilities and the ways in which those capabilities couple with other, existing actors.

In this case, that means actors like the Taxi and Limousine Commission. Enabling legislation, a body of suitable regulation, a controlling legal authority, the agreement on procedures for assessing liability to calibrate the furnishment of insurance: all of these things will need to be decided upon before any such thing as the automation of surface traffic in New York City can happen. And these provisions have a conservative effect. During the elapse of some arbitrary transitional period, anyway, they’ll tend to drag this theoretically disruptive actor back toward the categories we’re familiar with, the modes in which we’re used to the world working. That period may last months or it may last decades; there’s just no way of knowing ahead of time. But during this interregnum, we’ll approach the new thing through interfaces, metaphors and other linkages we’re already used to.

Automated taxis, as envisioned by designer Petr Kubik
Automated taxis, as envisioned by designer Petr Kubik.

So. What can we reasonably assert of a driverless car on the Google model, when such a thing is deployed on the streets and known to its riders as a taxi?

On the plus side of the ledger:
– Black men would finally be able to hail a cab in New York City;
– So would people who use wheelchairs, folks carrying bulky packages, and others habitually and summarily bypassed by drivers;
– Sexual harassment of women riding alone would instantly cease to be an issue;
– You’d never have a driver slow as if to pick you up, roll down the window to inquire as to your destination, and only then decide it wasn’t somewhere they felt like taking you. (Yes, this is against the law, but any New Yorker will tell you it happens every damn day of the week);
– Similarly, if you happen to need a cab at 4:30, you’ll be able to catch one — getting stuck in the trenches of shift change would be a thing of the past;
– The eerily smooth ride of continuous algorithmic control will replace the lurching stop-and-go style endemic to the last few generations of NYC drivers, with everything that implies for both fuel efficiency and your ability to keep your lunch down.

These are all very good things, and they’d all be true no matter how banjaxed the service-design implementation turns out to be. (As, let’s face it, it would be: remember that we’re talking about Google here.) But as I’m fond of pointing out, none of these very good things can be had without cost. What does the flipside of the equation look like?

– Most obviously, a full-fleet replacement would immediately zero out some 50,000 jobs — mostly jobs held by immigrants, in an economy with few other decent prospects for their employment. Let’s be clear that these, while not great jobs (shitty hours, no benefits, physical discomfort, occasionally abusive customers), generate a net revenue that averages somewhere around $23/hour, and this at a time when the New York State minimum wage stands at $8/hour. These are jobs that tie families and entire communities together;
– The wholesale replacement of these drivers would eliminate one of the very few remaining contexts in which wealthy New Yorkers encounter recent immigrants and their culture at all;
– Though this is admittedly less of an issue in Manhattan, it does eliminate at least some opportunity for drivers to develop and demonstrate mastery and urban savoir faire;
– It would give Google, an advertising broker, unparalleled insight into the comings and goings of a relatively wealthy cohort of riders, and in general a dataset of enormous and irreplicable value;
– Finally, by displacing alternatives, and over the long term undermining the ecosystem of technical capabilities, human competences and other provisions that undergirds contemporary taxi service, the autonomous taxi would in time tend to bring into being and stabilize the conditions for its own perpetuation, to the exclusion of other ways of doing things that might ultimately be more productive. Of course, you could say precisely the same thing about contemporary taxis — that’s kind of the point I’m trying to make. But we should see these dynamics with clear eyes before jumping in, no?

I’m sure, quite sure, that there are weighting factors I’ve overlooked, perhaps even obvious and significant ones. This isn’t the whole story, or anything like it. There is one broadly observable trend I can’t help but noticing, however, in all the above: the benefits we stand to derive from deploying autonomous vehicles on our streets in this way are all felt in the near or even immediate term, while the costs all tend to be circumstances that only tell in the fullness of time. And we haven’t as a species historically tended to do very well with this pattern, the prime example being our experience of the automobile itself. It’s something to keep in mind.

There’s also something to be gleaned from Google’s decision to throw in their lot with Uber — an organization explicitly oriented toward the demands of the wealthy and boundlessly, even gleefully, corrosive of the public trust. And that is that you shouldn’t set your hopes on any mobility service Google builds on their autonomous-vehicle technology ever being positioned as the public accommodation or public utility it certainly could be. The decision to more tightly integrate Uber into their suite of wayfinding and journey-planning services makes it clear that for Google, the prerogative to maximize return on investment for a very few will always outweigh the interests of the communities in which they operate. And that, too, is something to keep in mind, anytime you hear someone touting all of the ways in which the clean, effortless autotaxi stands to resculpt the city.