license plate recognition

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pages: 316 words: 90,165

You Are Here: From the Compass to GPS, the History and Future of How We Find Ourselves by Hiawatha Bray


A Declaration of the Independence of Cyberspace, Albert Einstein, Big bang: deregulation of the City of London, bitcoin, British Empire, call centre, crowdsourcing, Dava Sobel, digital map, don't be evil, Edmond Halley, Edward Snowden, Firefox, game design, Google Earth, Hedy Lamarr / George Antheil, Isaac Newton, job automation, John Harrison: Longitude, John Snow's cholera map, license plate recognition, lone genius, openstreetmap, polynesian navigation, popular electronics, RAND corporation, RFID, Ronald Reagan, Silicon Valley, Steve Jobs, Steven Levy, trade route, turn-by-turn navigation, uranium enrichment, urban planning, V2 rocket, Zipcar

Jennifer Valentino-DeVries, “Stingray Phone Tracker Fuels Constitutional Clash,” Wall Street Journal, September 22, 2011; Kim Zetter, “Feds’ Use of Fake Cell Tower: Did It Constitute a Search?,”, November 3, 2011, 15. Cynthia Lum and Linda M. Merola, “Emerging Surveillance Technologies: Privacy and the Case of License Plate Recognition (LPR) Technology,” Judicature (November–December 2012): 119. 16. Jon Campbell, “License-Plate Recognition Has Its Eyes on You,” San Diego CityBeat, February 20, 2013, 17. “Report: RFID Market to Surpass $26B in 2022,” Security Sales and Integration, July 19, 2012, See also Joanne Perry, “RFID Developments,” Aircraft Technology (December 2012–January 2013): 56–61. 18.

If that sounds like a limited, low-tech approach to crime fighting, think again. Police forces throughout the United States track millions of vehicles with help from digital systems that record the license plates of passing cars. If you are a driver, your vehicle has probably been tracked this way. A 2009 study found that 37 percent of police agencies of more than one hundred officers were using license-plate recognition systems, and another one-third of departments were planning to get it.15 In an LPR system, police mount cameras along major roads, at intersections, or even on roving squad cars. These cameras give a clear view of the license plates on passing vehicles. The large bold letters and numbers are easily readable by a computer. The machine records the time at which the image was captured, and with help from a GPS receiver, it pinpoints the location of each scanned vehicle.

See Keyhole Markup Language Kobia, David, 182 Korean Air Lines Flight 007, 105–106 Krasner, Norm, 115 Lamarr, Hedy, 124 Land, Edwin, 156 Lapita people, 3 Latitude, 4, 6, 7–8, 12, 50, 86, 87, 92, 106, 113, 119, 127, 170–171, 173, 228 Laussedat, Aimé, 147 Law, 146, 147, 160 Law enforcement, 113–114, 140, 216, 217, 226, 227 Lawrence Livermore Laboratories, 166 Leghorn, Richard, 154–156 Lewis, David, 3 Lewis, Meriwether, 17 License-plate recognition (LPR) systems, 218 Lighted airway system, 33, 34 Lindbergh, Charles, 104–105 Location Privacy Protection Act, 226–227 Lockheed Martin, 167 Loki, 133–134 Longitude, 7–8, 12, 13, 14, 86, 87, 92, 106, 113, 119, 127, 170–171, 173, 228 Logsdon, Tom, 106–107 LORAN, 96–97 Magnavox, 86 Magnetic compasses, 8–13, 20, 26, 48, 50–51, 59, 60, 61, 106 Magnetism, 8–13, 20–21 Mail system, 32–34 Mapping compasses and, 11–13 GPS and, 119 history of, 2–7 hot-spot, 130–134 radio technology and, 29–30 triangulation and, 16–17 wave, 3–4 Wi-Fi, 136, 137–144, 170 world map and, 17–18 See also Internet mapping MapQuest, 175, 176, 179, 187–188 Marconi, Guglielmo, 22–23, 24–25, 45 Marcus, Michael, 124–125 Marine Corps, US, 184 Marketing, 202–205 Markey, Edward, 216 Maskelyne, Nevil, 16 Massachusetts Institute of Technology (MIT), 40, 61, 67, 68, 69, 71, 212 Maximus Planudes, 7 Maxwell, James CLerk, 21 Mayflower, 1, 2, 18 McClure, Frank, 78, 80, 81, 82, 83 McDonnell, Stephen, 144 Meier, Patrick, 181–182, 183 Melvin, Curtis, 170 Mercator, Gerhard, 10, 11–12 Metro-Goldwyn-Mayer, 124 Microsoft, 175, 179, 187 Midway, 79 Miguelez, Andrew, 200–201 Million Map, 17–18 MIT.

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The Driver in the Driverless Car: How Our Technology Choices Will Create the Future by Vivek Wadhwa, Alex Salkever

23andMe, 3D printing, Airbnb, artificial general intelligence, augmented reality, autonomous vehicles, barriers to entry, Bernie Sanders, bitcoin, blockchain, clean water, correlation does not imply causation, distributed ledger, Donald Trump, double helix, Elon Musk,, epigenetics, Erik Brynjolfsson, Google bus, Hyperloop, income inequality, Internet of things, job automation, Kevin Kelly, Khan Academy, Law of Accelerating Returns, license plate recognition, life extension, Lyft, M-Pesa, Menlo Park, microbiome, mobile money, new economy, personalized medicine, phenotype, precision agriculture, RAND corporation, Ray Kurzweil, recommendation engine, Ronald Reagan, Second Machine Age, self-driving car, Silicon Valley, Skype, smart grid, stem cell, Stephen Hawking, Steve Wozniak, Stuxnet, supercomputer in your pocket, Tesla Model S, The Future of Employment, Turing test, Uber and Lyft, Uber for X, uranium enrichment, Watson beat the top human players on Jeopardy!, zero day

Data breaches don’t take account of nuance; the devastation of their personal and social lives will be unmitigated by whether a couple was going through a rough patch or whether somebody was just looking with no intention to actually commit infidelity. It’s not just the things we say or do but also the information that is collected about us that makes up our identity and reputation now. On a typical day as you drive home, cameras mounted on top of police cars and road signs are using automated license-plate recognition technology to make a database of virtually all of your car’s movements. Surveillance cameras on buildings and at traffic stops are constantly snapping pictures and recording video of you everywhere you go. As you pull into your driveway, your home automation system makes a record of exactly when you arrived; to deliver the perfect temperature, your Nest thermostat tracks your movements across the house.

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What's Yours Is Mine: Against the Sharing Economy by Tom Slee


4chan, Airbnb, Amazon Mechanical Turk, asset-backed security, barriers to entry, Berlin Wall, big-box store, bitcoin, blockchain, citizen journalism, collaborative consumption, congestion charging, Credit Default Swap, crowdsourcing, data acquisition, David Brooks, don't be evil, gig economy, Hacker Ethic, income inequality, informal economy, invisible hand, Jacob Appelbaum, Jane Jacobs, Jeff Bezos, Khan Academy, Kibera, Kickstarter, license plate recognition, Lyft, Marc Andreessen, Mark Zuckerberg, move fast and break things, move fast and break things, natural language processing, Netflix Prize, Network effects, new economy, Occupy movement, openstreetmap, Paul Graham, peer-to-peer, peer-to-peer lending, Peter Thiel, pre–internet, principal–agent problem, profit motive, race to the bottom, Ray Kurzweil, recommendation engine, rent control, ride hailing / ride sharing, sharing economy, Silicon Valley, Snapchat, software is eating the world, South of Market, San Francisco, TaskRabbit, The Nature of the Firm, Thomas L Friedman, transportation-network company, Uber and Lyft, Uber for X, ultimatum game, urban planning, WikiLeaks, winner-take-all economy, Y Combinator, Zipcar

Individual traffic police officers can and do have a pattern of disproportionately stopping black drivers,72 while traffic cameras with automatic license plate recording act irrespective of the race of the driver. So in this way, a change of technology can cut down on specific incidents of racist behavior. Yet we should be careful about drawing general conclusions about the overall effect of any new technology: as criminologist Clive Norris has shown, license plate recognition has now become a way of tracking known individuals as they move around, and it is no surprise who is tracked more and who is tracked less.73 The underlying problem remains: there is still racism in the system, but it is now manifested in different ways. Data acquisition shifts the place where racism happens from the street to the database query. There is no evidence of intentional discrimination by the companies, and the patterns may change as the systems evolve, but we should be cautious about ascribing too much blame or credit to the companies involved.

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Happy City: Transforming Our Lives Through Urban Design by Charles Montgomery


2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, agricultural Revolution, American Society of Civil Engineers: Report Card, Bernie Madoff, British Empire, Buckminster Fuller, car-free, carbon footprint, centre right, City Beautiful movement, clean water, congestion charging, correlation does not imply causation, East Village, edge city, energy security, Enrique Peñalosa, experimental subject, Frank Gehry, Google Earth, happiness index / gross national happiness, Home mortgage interest deduction, housing crisis, income inequality, income per capita, Induced demand, Intergovernmental Panel on Climate Change (IPCC), invisible hand, Jane Jacobs, license plate recognition, McMansion, means of production, megacity, Menlo Park, meta analysis, meta-analysis, mortgage tax deduction, New Urbanism, peak oil, Ponzi scheme, rent control, ride hailing / ride sharing, risk tolerance, science of happiness, Seaside, Florida, Silicon Valley, the built environment, The Death and Life of Great American Cities, the High Line, The Spirit Level, The Wealth of Nations by Adam Smith, trade route, transit-oriented development, upwardly mobile, urban planning, urban sprawl, wage slave, white flight, World Values Survey, zero-sum game, Zipcar

Cities intent on building more variety, freedom, sharing, and sustainability in mobility have no choice but to confront the privilege of private cars. Demand, Supply, and Surprise Some brave cities have tinkered with the economics of demand. In 2003 the London mayor Ken Livingstone adopted the world’s most geographically extensive congestion charge on vehicles entering the heart of the city on weekdays.* The system uses automatic license plate recognition cameras to identify and charge most private vehicles entering the city core, with exemptions for emergency vehicles, taxis, and residents. The fee started at a hefty £5 but has since been bumped to £10. After three years, the charge had reduced traffic in the core by a quarter and was pulling in £122 million a year. It showed that travel behavior really is elastic: when people start paying the true cost of driving (which, in London’s case, includes pollution, greenhouse gas emissions, and the burden imposed on other users by drivers using a disproportionate share of road space), they find other ways of moving.

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To Save Everything, Click Here: The Folly of Technological Solutionism by Evgeny Morozov


3D printing, algorithmic trading, Amazon Mechanical Turk, Andrew Keen, augmented reality, Automated Insights, Berlin Wall, big data - Walmart - Pop Tarts, Buckminster Fuller, call centre, carbon footprint, Cass Sunstein, choice architecture, citizen journalism, cloud computing, cognitive bias, creative destruction, crowdsourcing, data acquisition, Dava Sobel, disintermediation, East Village,, Fall of the Berlin Wall, Filter Bubble, Firefox, Francis Fukuyama: the end of history, frictionless, future of journalism, game design, Gary Taubes, Google Glasses, illegal immigration, income inequality, invention of the printing press, Jane Jacobs, Jean Tirole, Jeff Bezos, jimmy wales, Julian Assange, Kevin Kelly, Kickstarter, license plate recognition, lifelogging, lone genius, Louis Pasteur, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, moral panic, Narrative Science, Nicholas Carr, packet switching, PageRank, Parag Khanna, Paul Graham, peer-to-peer, Peter Singer: altruism, Peter Thiel,, placebo effect, pre–internet, Ray Kurzweil, recommendation engine, Richard Thaler, Ronald Coase, Rosa Parks, self-driving car, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, Skype, Slavoj Žižek, smart meter, social graph, social web, stakhanovite, Steve Jobs, Steven Levy, Stuxnet, technoutopianism, the built environment, The Chicago School, The Death and Life of Great American Cities, the medium is the message, The Nature of the Firm, the scientific method, The Wisdom of Crowds, Thomas Kuhn: the structure of scientific revolutions, Thomas L Friedman, transaction costs, urban decay, urban planning, urban sprawl, Vannevar Bush, WikiLeaks

Similar uplifting statistics can be found in many other police departments across America. Other powerful systems that are currently being built can also be easily reconfigured to suit more predictive demands. Consider the New York Police Department’s latest innovation—the so-called Domain Awareness System—which syncs the city’s 3,000 closed-circuit camera feeds with arrest records, 911 calls, license plate recognition technology, and radiation detectors. It can monitor a situation in real time and draw on a lot of data to understand what’s happening. The leap from here to predicting what might happen is not so great. If PredPol’s “prediction” sounds familiar, that’s because its methods were inspired by those of prominent Internet companies. Writing in The Police Chief magazine in 2009, a senior LAPD officer lauded Amazon’s ability to “understand the unique groups in their customer base and to characterize their purchasing patterns,” which allows the company “not only to anticipate but also to promote or otherwise shape future behavior.”

pages: 598 words: 134,339

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World by Bruce Schneier


23andMe, Airbnb, airport security, AltaVista, Anne Wojcicki, augmented reality, Benjamin Mako Hill, Black Swan, Brewster Kahle, Brian Krebs, call centre, Cass Sunstein, Chelsea Manning, citizen journalism, cloud computing, congestion charging, disintermediation, drone strike, Edward Snowden, experimental subject, failed state, fault tolerance, Ferguson, Missouri, Filter Bubble, Firefox, friendly fire, Google Chrome, Google Glasses, hindsight bias, informal economy, Internet Archive, Internet of things, Jacob Appelbaum, Jaron Lanier, John Markoff, Julian Assange, Kevin Kelly, license plate recognition, lifelogging, linked data, Lyft, Mark Zuckerberg, moral panic, Nash equilibrium, Nate Silver, national security letter, Network effects, Occupy movement, payday loans, pre–internet, price discrimination, profit motive, race to the bottom, RAND corporation, recommendation engine, RFID, self-driving car, Shoshana Zuboff, Silicon Valley, Skype, smart cities, smart grid, Snapchat, social graph, software as a service, South China Sea, stealth mode startup, Steven Levy, Stuxnet, TaskRabbit, telemarketer, Tim Cook: Apple, transaction costs, Uber and Lyft, urban planning, WikiLeaks, zero day

the repossession business: Shawn Musgrave (5 Mar 2014), “A vast hidden surveillance network runs across America, powered by the repo industry,” BetaBoston/Boston Globe, Shawn Musgrave (5 Mar 2014), “Massive license plate location database just like Instagram, Digital Recognition Network insists,” BetaBoston/Boston Globe, 2.5 billion records: Vigilant Video (23 Feb 2009), “Site specific preparation sheet for LEARN V.4.0 server installation,” In addition to repossession businesses: Cyrus Farivar (27 Feb 2012), “Your car, tracked: The rapid rise of license plate readers,” Ars Technica,

The Dubai police are integrating custom facial recognition software with Google Glass to automatically identify suspects. With enough cameras in a city, police officers will be able to follow cars and people around without ever leaving their desks. This is mass surveillance, impossible without computers, networks, and automation. It’s not “follow that car”; it’s “follow every car.” Police could always tail a suspect, but with an urban mesh of cameras, license plate scanners, and facial recognition software, they can tail everyone—suspect or not. Similarly, putting a device called a pen register on a suspect’s land line to record the phone numbers he calls used to be both time-consuming and expensive. But now that the FBI can demand that data from the phone companies’ databases, it can acquire that information about everybody in the US. And it has. In 2008, the company Waze (acquired by Google in 2013) introduced a new navigation system for smartphones.

A single geofencing company, Placecast, delivers location-based ads to ten million phones in the US and UK for chains like Starbucks, Kmart, and Subway. Microsoft does the same thing to people passing within ten miles of some of its stores; it works with the company NinthDecimal. Sense Networks uses location data to create individual profiles. CORRELATING DIFFERENT DATA SETS Vigilant Solutions is one of the companies that collect license plate data from cameras. It has plans to augment this system with other algorithms for automobile identification, systems of facial recognition, and information from other databases. The result would be a much more powerful surveillance platform than a simple database of license plate scans, no matter how extensive, could ever be. News stories about mass surveillance are generally framed in terms of data collection, but miss the story about data correlation: the linking of identities across different data sets to draw inferences from the combined data.

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Future Crimes: Everything Is Connected, Everyone Is Vulnerable and What We Can Do About It by Marc Goodman


23andMe, 3D printing, active measures, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, airport security, Albert Einstein, algorithmic trading, artificial general intelligence, Asilomar, Asilomar Conference on Recombinant DNA, augmented reality, autonomous vehicles, Baxter: Rethink Robotics, Bill Joy: nanobots, bitcoin, Black Swan, blockchain, borderless world, Brian Krebs, business process, butterfly effect, call centre, Chelsea Manning, cloud computing, cognitive dissonance, computer vision, connected car, corporate governance, crowdsourcing, cryptocurrency, data acquisition, data is the new oil, Dean Kamen, disintermediation, don't be evil, double helix, Downton Abbey, drone strike, Edward Snowden, Elon Musk, Erik Brynjolfsson, Filter Bubble, Firefox, Flash crash, future of work, game design, Google Chrome, Google Earth, Google Glasses, Gordon Gekko, high net worth, High speed trading, hive mind, Howard Rheingold, hypertext link, illegal immigration, impulse control, industrial robot, Intergovernmental Panel on Climate Change (IPCC), Internet of things, Jaron Lanier, Jeff Bezos, job automation, John Harrison: Longitude, John Markoff, Jony Ive, Julian Assange, Kevin Kelly, Khan Academy, Kickstarter, knowledge worker, Kuwabatake Sanjuro: assassination market, Law of Accelerating Returns, Lean Startup, license plate recognition, lifelogging, litecoin, M-Pesa, Mark Zuckerberg, Marshall McLuhan, Menlo Park, Metcalfe’s law, mobile money, more computing power than Apollo, move fast and break things, move fast and break things, Nate Silver, national security letter, natural language processing, obamacare, Occupy movement, Oculus Rift, off grid, offshore financial centre, optical character recognition, Parag Khanna, pattern recognition, peer-to-peer, personalized medicine, Peter H. Diamandis: Planetary Resources, Peter Thiel, pre–internet, RAND corporation, ransomware, Ray Kurzweil, refrigerator car, RFID, ride hailing / ride sharing, Rodney Brooks, Satoshi Nakamoto, Second Machine Age, security theater, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart grid, smart meter, Snapchat, social graph, software as a service, speech recognition, stealth mode startup, Stephen Hawking, Steve Jobs, Steve Wozniak, strong AI, Stuxnet, supply-chain management, technological singularity, telepresence, telepresence robot, Tesla Model S, The Future of Employment, The Wisdom of Crowds, Tim Cook: Apple, trade route, uranium enrichment, Wall-E, Watson beat the top human players on Jeopardy!, Wave and Pay, We are Anonymous. We are Legion, web application, Westphalian system, WikiLeaks, Y Combinator, zero day

Previously, such high-tech gear would only have resided in a spy agency or with the FBI, but now, given the exponential drop in pricing of these technologies, even a neighborhood mom can spy on her kids or potentially cheating spouse. In the world of big data, we can even leak our physical location without a bugged mobile phone or GPS tracker hidden in our car. A new technology, known as an automatic license plate reader (ALPR), allows both governments and individuals to use video cameras and optical character recognition to record the locations of cars as they pass from one camera point to another, revealing the real-time movement of any vehicle throughout a city or country with great detail. From Minnesota to New Jersey, and from Ankara to Sydney, hundreds of millions of individual license plate records have been stored. As a result, a query can be applied against these massive databases to determine the position of any vehicle over time.

Army, news archive, Mar. 7, 2012, www.​army.​mil. 46 The longitude and latitude: Ibid. 47 Not only can we be tracked: The product can now be found at http://​www.​trackingkey.​com. 48 From Minnesota to New Jersey: For an excellent review of the social and privacy implications of automatic license plate readers, see the American Civil Liberties Union report You Are Being Tracked: How License Plate Readers Are Being Used to Record Americans’ Movements. 49 Private companies such as Digital Recognition Network: Julia Angwin and Jennifer Valentino-Devries, “New Tracking Frontier: Your License Plates,” Wall Street Journal, Sept. 29, 2012. 50 He then used the data: Ibid. 51 In 2009: Kate Crawford, “San Francisco Woman Pulled Out of Car at Gunpoint Because of License Plate Reader Error,” ACLU (blog), May 15, 2014. 52 To date, Euclid has: Quentin Hardy, “Technology Turns to Tracking People Offline,” Bits (blog), New York Times, March 7, 2013; Gene Marks, “Why the Home Depot Breach Is Worse Than You Think,” Forbes, Sept. 22, 2014. 53 The cloud is here to stay: Frederic Lardinois, “Google Announces Massive Price Drops for Its Cloud Computing Services and Storage, Introduces Sustained-Use Discounts,” TechCrunch, March 25, 2014. 54 All the major cloud service providers: Keir Thomas, “Microsoft Cloud Data Breach Heralds Things to Come,” PCWorld, Dec. 23, 2010; Ed Bott, “Dropbox Gets Hacked … Again,” ZDNet, Aug. 1, 2012. 55 In late 2014, hundreds: Daisuke Wakabayashi and Danny Yadron, “Apple Denies iCloud Breach,” Wall Street Journal, Sept. 2, 2014. 56 As a result, the plans: Jaikumar Vijayan, “Classified Data on President’s Helicopter Leaked via P2P, Found on Iranian Computer,” Computerworld, March 2, 2009. 57 In fact, there are more than a hundred: Threat Working Group of the CSIS Commission on Cybersecurity, “Threats Posed by the Internet.” 58 Every single day, the NSA: Dana Priest and William M.

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The Patient Will See You Now: The Future of Medicine Is in Your Hands by Eric Topol


23andMe, 3D printing, Affordable Care Act / Obamacare, Anne Wojcicki, Atul Gawande, augmented reality, bioinformatics, call centre, Clayton Christensen, clean water, cloud computing, commoditize, computer vision, conceptual framework, connected car, correlation does not imply causation, creative destruction, crowdsourcing, dark matter, data acquisition, disintermediation, don't be evil, Edward Snowden, Elon Musk,, Erik Brynjolfsson, Firefox, global village, Google Glasses, Google X / Alphabet X, Ignaz Semmelweis: hand washing, information asymmetry, interchangeable parts, Internet of things, Isaac Newton, job automation, Joseph Schumpeter, Julian Assange, Kevin Kelly, license plate recognition, lifelogging, Lyft, Mark Zuckerberg, Marshall McLuhan, meta analysis, meta-analysis, microbiome, Nate Silver, natural language processing, Network effects, Nicholas Carr, obamacare, pattern recognition, personalized medicine, phenotype, placebo effect, RAND corporation, randomized controlled trial, Second Machine Age, self-driving car, Silicon Valley, Skype, smart cities, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, Snapchat, social graph, speech recognition, stealth mode startup, Steve Jobs, the scientific method, The Signal and the Noise by Nate Silver, The Wealth of Nations by Adam Smith, Turing test, Uber for X, Watson beat the top human players on Jeopardy!, X Prize

There’s also software that detects your mood via facial recognition to make tailored recommendations. If you are willing to give up privacy altogether, the mobile app Placed gives you coupons for providing information on what store you’re in. As you get out on the city streets and public places, there’s now an unprecedented array of sensors, CCTVs, and vast wireless networks that are set up to detect your motion, sense your car, read your license plate, and capture key biometric information such as facial recognition. Then there are all the low-cost satellites from above so that “all of the Earth will be held to a mirror, in near real time, at an increasing granularity of visual infrared and other kinds of data.”33b Wow, are we ever being watched. Not just being watched but also identified. The NameTag app enables users of Google Glass to take a picture of a stranger and identify them in the FacialNetwork company’s database, which includes occupation and social media profiles.34 Similarly, the NEC company is developing tools to enable hotels and businesses to automatically recognize their important visitors.35 These efforts rely on converting each person’s facial data into a “faceprint” of mathematical code along with a large database to find a match.

pages: 527 words: 147,690

Terms of Service: Social Media and the Price of Constant Connection by Jacob Silverman


23andMe, 4chan, A Declaration of the Independence of Cyberspace, Airbnb, airport security, Amazon Mechanical Turk, augmented reality, basic income, Brian Krebs, California gold rush, call centre, cloud computing, cognitive dissonance, commoditize, correlation does not imply causation, Credit Default Swap, crowdsourcing, don't be evil, drone strike, Edward Snowden, feminist movement, Filter Bubble, Firefox, Flash crash, game design, global village, Google Chrome, Google Glasses, hive mind, income inequality, informal economy, information retrieval, Internet of things, Jaron Lanier, jimmy wales, Kevin Kelly, Kickstarter, knowledge economy, knowledge worker, late capitalism, license plate recognition, life extension, lifelogging, Lyft, Mark Zuckerberg, Mars Rover, Marshall McLuhan, mass incarceration, meta analysis, meta-analysis, Minecraft, move fast and break things, move fast and break things, national security letter, Network effects, new economy, Nicholas Carr, Occupy movement, optical character recognition, payday loans, Peter Thiel, postindustrial economy, prediction markets, pre–internet, price discrimination, price stability, profit motive, quantitative hedge fund, race to the bottom, Ray Kurzweil, recommendation engine, rent control, RFID, ride hailing / ride sharing, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, Silicon Valley ideology, Snapchat, social graph, social web, sorting algorithm, Steve Ballmer, Steve Jobs, Steven Levy, TaskRabbit, technoutopianism, telemarketer, transportation-network company, Turing test, Uber and Lyft, Uber for X, universal basic income, unpaid internship, women in the workforce, Y Combinator, Zipcar

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The Future of the Internet: And How to Stop It by Jonathan Zittrain


A Declaration of the Independence of Cyberspace, Amazon Mechanical Turk, Andy Kessler, barriers to entry, book scanning, Brewster Kahle, Burning Man,, call centre, Cass Sunstein, citizen journalism, Clayton Christensen, clean water, commoditize, corporate governance, Daniel Kahneman / Amos Tversky, distributed generation,, Firefox, game design, Hacker Ethic, Howard Rheingold, Hush-A-Phone, illegal immigration, index card, informal economy, Internet Archive, jimmy wales, John Markoff, license plate recognition, loose coupling, mail merge, national security letter, old-boy network, packet switching, peer-to-peer, Post-materialism, post-materialism, pre–internet, price discrimination, profit maximization, Ralph Nader, RFC: Request For Comment, RFID, Richard Stallman, Richard Thaler, risk tolerance, Robert Bork, Robert X Cringely, SETI@home, Silicon Valley, Skype, slashdot, software patent, Steve Ballmer, Steve Jobs, Ted Nelson, Telecommunications Act of 1996, The Nature of the Firm, The Wisdom of Crowds, web application, wikimedia commons, zero-sum game

Part of its activities included the Nuremberg Files Web site, where the public was solicited for as much information as possible about the identities, lives, and families of physicians who performed abortions, as well as about clinic owners and workers.76 When a provider was killed, a line would be drawn through his or her name. (The site was rarely updated with new information, and it became entangled in a larger lawsuit lodged under the U.S. Freedom of Access to Clinic Entrances Act.77 The site remains accessible.) An associated venture solicits the public to take pictures of women arriving at clinics, including the cars in which they arrive (and corresponding license plates), and posts the pictures in order to deter people from nearing clinics.78 With image recognition technology mash-ups, photos taken as people enter clinics or participate in protests can be instantly cross-referenced with their names. One can easily pair this type of data with Google Maps to provide fine-grained satellite imagery of the homes and neighborhoods of these individuals, similar to the “subversive books” maps created by computer consultant and tin-kerer Tom Owad, tracking wish lists on Amazon.79 This intrusion can reach places that the governments of liberal democracies refuse to go.

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Radical Technologies: The Design of Everyday Life by Adam Greenfield

3D printing, Airbnb, augmented reality, autonomous vehicles, bank run, barriers to entry, basic income, bitcoin, blockchain, business intelligence, business process, call centre, cellular automata, centralized clearinghouse, centre right, Chuck Templeton: OpenTable, cloud computing, collective bargaining, combinatorial explosion, Computer Numeric Control, computer vision, Conway's Game of Life, cryptocurrency, David Graeber, dematerialisation, digital map, distributed ledger, drone strike, Elon Musk, ethereum blockchain, facts on the ground, fiat currency, global supply chain, global village, Google Glasses, IBM and the Holocaust, industrial robot, informal economy, information retrieval, Internet of things, James Watt: steam engine, Jane Jacobs, Jeff Bezos, job automation, John Conway, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John von Neumann, joint-stock company, Kevin Kelly, Kickstarter, late capitalism, license plate recognition, lifelogging, M-Pesa, Mark Zuckerberg, means of production, megacity, megastructure, minimum viable product, money: store of value / unit of account / medium of exchange, natural language processing, Network effects, New Urbanism, Occupy movement, Oculus Rift, Pareto efficiency, pattern recognition, Pearl River Delta, performance metric, Peter Eisenman, Peter Thiel, planetary scale, Ponzi scheme, post scarcity, RAND corporation, recommendation engine, RFID, rolodex, Satoshi Nakamoto, self-driving car, sentiment analysis, shareholder value, sharing economy, Silicon Valley, smart cities, smart contracts, sorting algorithm, special economic zone, speech recognition, stakhanovite, statistical model, stem cell, technoutopianism, Tesla Model S, the built environment, The Death and Life of Great American Cities, The Future of Employment, transaction costs, Uber for X, universal basic income, urban planning, urban sprawl, Whole Earth Review, WikiLeaks, women in the workforce

USA Travel Guide by Lonely, Planet

1960s counterculture, active transport: walking or cycling, Affordable Care Act / Obamacare, Albert Einstein, Asilomar, Bay Area Rapid Transit, Berlin Wall, Big bang: deregulation of the City of London, big-box store, bike sharing scheme, Bretton Woods, British Empire, Burning Man, California gold rush, call centre, car-free, carbon footprint, centre right, Chuck Templeton: OpenTable, cuban missile crisis, desegregation, Donald Trump, Donner party, East Village, edge city, El Camino Real, Fall of the Berlin Wall, feminist movement, Frank Gehry, glass ceiling, global village, Golden Gate Park, Guggenheim Bilbao, Haight Ashbury, haute couture, haute cuisine, Hernando de Soto, Howard Zinn, illegal immigration, immigration reform, information trail, interchangeable parts, intermodal, jitney, license plate recognition, Mars Rover, Mason jar, mass immigration, Maui Hawaii, McMansion, Menlo Park, Monroe Doctrine, new economy, New Urbanism, obamacare, off grid, Ralph Nader, Ralph Waldo Emerson, RFID, ride hailing / ride sharing, Ronald Reagan, Rosa Parks, Saturday Night Live, Silicon Valley, South of Market, San Francisco, stealth mode startup, stem cell, supervolcano, the built environment, The Chicago School, the High Line, the payments system, trade route, transcontinental railway, union organizing, Upton Sinclair, upwardly mobile, urban decay, urban planning, urban renewal, urban sprawl, walkable city, white flight, working poor, Works Progress Administration, young professional, Zipcar