Are We Puppets in a Wired World?


Sue Halpern in The New York Review of Books: “Also not obvious was how the Web would evolve, though its open architecture virtually assured that it would. The original Web, the Web of static homepages, documents laden with “hot links,” and electronic storefronts, segued into Web 2.0, which, by providing the means for people without technical knowledge to easily share information, recast the Internet as a global social forum with sites like Facebook, Twitter, FourSquare, and Instagram.
Once that happened, people began to make aspects of their private lives public, letting others know, for example, when they were shopping at H+M and dining at Olive Garden, letting others know what they thought of the selection at that particular branch of H+M and the waitstaff at that Olive Garden, then modeling their new jeans for all to see and sharing pictures of their antipasti and lobster ravioli—to say nothing of sharing pictures of their girlfriends, babies, and drunken classmates, or chronicling life as a high-paid escort, or worrying about skin lesions or seeking a cure for insomnia or rating professors, and on and on.
The social Web celebrated, rewarded, routinized, and normalized this kind of living out loud, all the while anesthetizing many of its participants. Although they likely knew that these disclosures were funding the new information economy, they didn’t especially care…
The assumption that decisions made by machines that have assessed reams of real-world information are more accurate than those made by people, with their foibles and prejudices, may be correct generally and wrong in the particular; and for those unfortunate souls who might never commit another crime even if the algorithm says they will, there is little recourse. In any case, computers are not “neutral”; algorithms reflect the biases of their creators, which is to say that prediction cedes an awful lot of power to the algorithm creators, who are human after all. Some of the time, too, proprietary algorithms, like the ones used by Google and Twitter and Facebook, are intentionally biased to produce results that benefit the company, not the user, and some of the time algorithms can be gamed. (There is an entire industry devoted to “optimizing” Google searches, for example.)
But the real bias inherent in algorithms is that they are, by nature, reductive. They are intended to sift through complicated, seemingly discrete information and make some sort of sense of it, which is the definition of reductive.”
Books reviewed:

Residents remix their neighborhood’s streets through platform


Springwise: “City residents may not have degrees in urban planning, but their everyday use of high streets, parks and main roads means they have some valuable input into what’s best for their local environment. A new website called Streetmix is helping to empower citizens, enabling them to become architects with an easy-to-use street-building platform.
Developed by Code for America, the site greets users with a colorful cartoon representation of a typical street, split into segments of varying widths. Designers can then swap and change each piece into road, cycle paths, pedestrian areas, bus stops, bike racks and other amenities, as well as alter their dimensions. Users can create their own perfect high street or use the exact measurements of their own neighborhood to come up with new propositions for planned construction work. Indeed, Streetmix has already found use among residents and organizations to demonstrate how to better use the local space available. Kansas City’s Bike Walk KC has utilized the platform to show how new bike lanes could figure in an upcoming study of traffic flow in the region, while New Zealand’s Transport Blog has presented several alternatives to current street layouts in Auckland.
Streetmix is an easy-to-use visualization tool that can help amateurs present their ideas to local authorities in a more coherent way, potentially increasing the chances of politicians hearing calls for change. Are there other ways to help laymen express complex ideas more eloquently?”
Spotted by Murtaza Patel, written by Springwise

7 Tactics for 21st-Century Cities


Abhi Nemani, co-director of Code for America: “Be it the burden placed on them by shrinking federal support, or the opportunity presented by modern technology, 21st-century cities are finding new ways to do things. For four years, Code for America has worked with dozens of cities, each finding creative ways to solve neighborhood problems, build local capacity and steward a national network. These aren’t one-offs. Cities are championing fundamental, institutional reforms to commit to an ongoing innovation agenda.
Here are a few of the ways how:

  1. …Create an office of new urban mechanics or appoint a chief innovation officer…
  2. …Appoint a chief data officer or create an office of performance management/enhancement…
  3. …Adopt the Gov.UK Design Principles, and require plain, human language on every interface….
  4. …Share open source technology with a sister city or change procurement rules to make it easier to redeploy civic tech….
  5. …Work with the local civic tech community and engage citizens for their feedback on city policy through events, tech and existing forums…
  6. …Create an open data policy and adopt open data specifications…
  7. …Attract tech talent into city leadership, and create training opportunities citywide to level up the tech literacy for city staff…”

Our Privacy Problem is a Democracy Problem in Disguise


Evgeny Morozov in MIT Technology Review: “Intellectually, at least, it’s clear what needs to be done: we must confront the question not only in the economic and legal dimensions but also in a political one, linking the future of privacy with the future of democracy in a way that refuses to reduce privacy either to markets or to laws. What does this philosophical insight mean in practice?

First, we must politicize the debate about privacy and information sharing. Articulating the existence—and the profound political consequences—of the invisible barbed wire would be a good start. We must scrutinize data-intensive problem solving and expose its occasionally antidemocratic character. At times we should accept more risk, imperfection, improvisation, and inefficiency in the name of keeping the democratic spirit alive.
Second, we must learn how to sabotage the system—perhaps by refusing to self-track at all. If refusing to record our calorie intake or our whereabouts is the only way to get policy makers to address the structural causes of problems like obesity or climate change—and not just tinker with their symptoms through nudging—information boycotts might be justifiable. Refusing to make money off your own data might be as political an act as refusing to drive a car or eat meat. Privacy can then reëmerge as a political instrument for keeping the spirit of democracy alive: we want private spaces because we still believe in our ability to reflect on what ails the world and find a way to fix it, and we’d rather not surrender this capacity to algorithms and feedback loops.
Third, we need more provocative digital services. It’s not enough for a website to prompt us to decide who should see our data. Instead it should reawaken our own imaginations. Designed right, sites would not nudge citizens to either guard or share their private information but would reveal the hidden political dimensions to various acts of information sharing. We don’t want an electronic butler—we want an electronic provocateur. Instead of yet another app that could tell us how much money we can save by monitoring our exercise routine, we need an app that can tell us how many people are likely to lose health insurance if the insurance industry has as much data as the NSA, most of it contributed by consumers like us. Eventually we might discern such dimensions on our own, without any technological prompts.
Finally, we have to abandon fixed preconceptions about how our digital services work and interconnect. Otherwise, we’ll fall victim to the same logic that has constrained the imagination of so many well-­meaning privacy advocates who think that defending the “right to privacy”—not fighting to preserve democracy—is what should drive public policy. While many Internet activists would surely argue otherwise, what happens to the Internet is of only secondary importance. Just as with privacy, it’s the fate of democracy itself that should be our primary goal.

Why Crowdsourcing is the Next Cloud Computing


Alpheus Bingham, co-founder and a member of the board of directors at InnoCentive, in Wired: “But over the course of a decade, what we now call cloud-based or software-as-a-service (SaaS) applications has taken the world by storm and become mainstream. Today, cloud computing is an umbrella term that applies to a wide variety of successful technologies (and business models), from business apps like Salesforce.com, to infrastructure like Amazon Elastic Compute Cloud (Amazon EC2), to consumer apps like Netflix. It took years for all these things to become mainstream, and if the last decade saw the emergence (and eventual dominance) of the cloud over previous technologies and models, this decade will see the same thing with crowdsourcing.
Both an art and a science, crowdsourcing taps into the global experience and wisdom of individuals, teams, communities, and networks to accomplish tasks and work. It doesn’t matter who you are, where you live, or what you do or believe — in fact, the more diversity of thought and perspective, the better. Diversity is king and it’s common for people on the periphery of — or even completely outside of — a discipline or science to end up solving important problems.
The specific nature of the work offers few constraints – from a small business needing a new logo, to the large consumer goods company looking to ideate marketing programs, or to the nonprofit research organization looking to find a biomarker for ALS, the value is clear as well.
To get to the heart of the matter on why crowdsourcing is this decade’s cloud computing, several immediate reasons come to mind:
Crowdsourcing Is Disruptive
Much as cloud computing has created a new guard that in many ways threatens the old guard, so too has crowdsourcing. …
Crowdsourcing Provides On-Demand Talent Capacity
Labor is expensive and good talent is scarce. Think about the cost of adding ten additional researchers to a 100-person R&D team. You’ve increased your research capacity by 10% (more or less), but at a significant cost – and, a significant FIXED cost at that. …
Crowdsourcing Enables Pay-for-Performance.
You pay as you go with cloud computing — gone are the days of massive upfront capital expenditures followed by years of ongoing maintenance and upgrade costs. Crowdsourcing does even better: you pay for solutions, not effort, which predictably sometimes results in failure. In fact, with crowdsourcing, the marketplace bears the cost of failure, not you….
Crowdsourcing “Consumerizes” Innovation
Crowdsourcing can provide a platform for bi-directional communication and collaboration with diverse individuals and groups, whether internal or external to your organization — employees, customers, partners and suppliers. Much as cloud computing has consumerized technology, crowdsourcing has the same potential to consumerize innovation, and more broadly, how we collaborate to bring new ideas, products and services to market.
Crowdsourcing Provides Expert Services and Skills That You Don’t Possess.
One of the early value propositions of cloud-based business apps was that you didn’t need to engage IT to deploy them or Finance to help procure them, thereby allowing general managers and line-of-business heads to do their jobs more fluently and more profitably…”

Why Nudge?: The Politics of Libertarian Paternalism


New and forthcoming book by Cass Sunstein: “Based on a series of pathbreaking lectures given at Yale University in 2012, this powerful, thought-provoking work by national best-selling author Cass R. Sunstein combines legal theory with behavioral economics to make a fresh argument about the legitimate scope of government, bearing on obesity, smoking, distracted driving, health care, food safety, and other highly volatile, high-profile public issues. Behavioral economists have established that people often make decisions that run counter to their best interests—producing what Sunstein describes as “behavioral market failures.” Sometimes we disregard the long term; sometimes we are unrealistically optimistic; sometimes we do not see what is in front of us. With this evidence in mind, Sunstein argues for a new form of paternalism, one that protects people against serious errors but also recognizes the risk of government overreaching and usually preserves freedom of choice.
Against those who reject paternalism of any kind, Sunstein shows that “choice architecture”—government-imposed structures that affect our choices—is inevitable, and hence that a form of paternalism cannot be avoided. He urges that there are profoundly moral reasons to ensure that choice architecture is helpful rather than harmful—and that it makes people’s lives better and longer.”

The Decline of Wikipedia


Tom Simonite in MIT Technology Review: “The sixth most widely used website in the world is not run anything like the others in the top 10. It is not operated by a sophisticated corporation but by a leaderless collection of volunteers who generally work under pseudonyms and habitually bicker with each other. It rarely tries new things in the hope of luring visitors; in fact, it has changed little in a decade. And yet every month 10 billion pages are viewed on the English version of Wikipedia alone. When a major news event takes place, such as the Boston Marathon bombings, complex, widely sourced entries spring up within hours and evolve by the minute. Because there is no other free information source like it, many online services rely on Wikipedia. Look something up on Google or ask Siri a question on your iPhone, and you’ll often get back tidbits of information pulled from the encyclopedia and delivered as straight-up facts.
Yet Wikipedia and its stated ambition to “compile the sum of all human knowledge” are in trouble. The volunteer workforce that built the project’s flagship, the English-language Wikipedia—and must defend it against vandalism, hoaxes, and manipulation—has shrunk by more than a third since 2007 and is still shrinking. Those participants left seem incapable of fixing the flaws that keep Wikipedia from becoming a high-quality encyclopedia by any standard, including the project’s own. Among the significant problems that aren’t getting resolved is the site’s skewed coverage: its entries on Pokemon and female porn stars are comprehensive, but its pages on female novelists or places in sub-Saharan Africa are sketchy. Authoritative entries remain elusive. Of the 1,000 articles that the project’s own volunteers have tagged as forming the core of a good encyclopedia, most don’t earn even Wikipedia’s own middle-­ranking quality scores.
The main source of those problems is not mysterious….”

Chicago: Increase and improve City data


Initiative 14 of the Chicago Tech Plan:  “The City will continue to increase and improve the quality of City data available internally and externally, and facilitate methods for analyzing that data to help create a smarter and more efficient city.”
Releasing data is a crucial component of creating an open and transparent government. Chicago is currently a leader in open data, capturing and publishing more than 400 machine-readable datasets to date. In 2012, Mayor Emanuel issued an executive order ensuring that the City continues to release new data, and empowering the Chief Data Officer to work with other City departments and agencies to develop new datasets. The City is following an aggressive schedule for releasing new datasets to the public and updating existing sets. It is also working to facilitate ways the City and others can use data to help improve City operations.
Chicago Shovels Plow Tracker
Source: https://web.archive.org/web/2000/https://www.chicago.gov/city/en/depts/mayor/iframe/plow_tracker.html
 


Open Data Success Story: ChicagoWorks
A collaboration between Alderman Ameya Pawar and local graphic design company 2pensmedia, ChicagoWorks is a free app that is changing the way Chicagoans interact with government. Using the app, residents can submit service requests directly to 311
and track the progress of reported issues. So far, more than 3,000 residents have downloaded the app.18


Open Data Success Story: SpotHero and Techstars Chicago
The app SpotHero makes residents’ lives easier by helping them find and reserve parking spots online. Developed in Chicago, the app had its start at Excelerate Labs, a Chicago start-up accelerator, now Techstars Chicago, that provides mentorship, training, and networking opportunities to 10 selected start-ups each year. After graduating from the program, ranked as one of the top 3 accelerators nationally, SpotHero attracted $2.5 million in VC funding. With this funding, the company is hiring new staff working to expand to other cities.19


Open Data Success Story: OpenGov Hack Night
Chicago boasts a community of “civic hackers” who are passionate about using technology to improve the city. An example of this passion in action is the OpenGov Hack Night. Organized by Open City, an organization that builds web apps and other tools using open government data, the Hack Night attracts civic hackers and curious residents eager to explore the intersection of open government data, smart cities, and technology. Every week, the Hack Night provides a collaborative environment for residents to learn about open data, working on cutting-edge projects and networking with passionate civic technologists.20

The New Eye of Government: Citizen Sentiment Analysis in Social Media


New paper by R. Arunachalam and S. Sarkar: “Governments across the world facing unique challenges today than ever before. In recent time, Arab Spring
phenomenon is an example of how Governments can be impacted if they ignore citizen sentiment. It is a growing trend that Governments are trying to move closer to the citizen-centric model, where the priorities and services would be driven according to citizen needs rather than Government capability. Such trends are
forcing the Governments in rethinking and reshaping their policies in citizen interactions. New disruptive technologies like cloud, mobile etc. are opening new opportunities to the Governments to enable innovations in such interactions.
The advent of Social Media is a recent addition to such disruptive socio-technical enablers. Governments are fast realizing that it can be a great vehicle to get closer to the citizens. It can provide deep insight in what citizens want. Thus, in the current gloomy climate of world economy today, Governments can reorganize and reprioritize the allocation limited funds, thereby creating maximum impact on citizens’ life. Building such insight is a non-trivial task because of the huge
volume of information that social media can generate. However, Sentiment Analysis or Opinion Mining can be a useful vehicle in this journey.
In this work, we presented a model and case study to analyze citizen sentiment from social media in helping the Governments to take decisions.”

Interview with Richard Thaler


Interview with Richard Thaler, University of Chicago behavioral economist, by Douglas Clement Editor, The Region: “…Region: One thing we haven’t talked about yet is your work on reciprocity and cooperation. And let’s use another British example, Golden Balls. You did some fascinating research on this British game show. Can you tell that story and what it illustrated?
Thaler: You know, it’s funny, this goes back to Gary’s line [about behavior in real markets as opposed to labs]. As you know, this game show ends in a prisoner’s dilemma. And there have been thousands of experiments run on one-shot prisoner’s dilemmas. We know that economic theory says that the rational strategy is to defect; theory says everyone will defect. It’s the dominant strategy.
In experiments, about 40 to 50 percent of the people cooperate, but it involves small stakes. In this paper we write about the actual game show, there’s one trial, a round in the actual game show—you may have seen the clip of it—where it’s not small stakes at all; it’s around 100,000 pounds. And that’s one of the things we were interested in: What happens when you raise the stakes?
This is what happens: You get a plot like this (see hand-drawn plot and actual plot). I just happened to have drawn this for another visitor, a grad student.
So, yes, the economists were right. If you raise the stakes, cooperation falls. But it falls to the same level you see in the lab. The interesting behavioral thing is, when the stakes are small, compared to what other people are playing for in the game show, then cooperation gets even higher.
This goes to bounded self-interest. Economists assume people are unboundedly unscrupulous—or I’ll say self-interested, a more polite term. But there have been lots of experiments where you leave a wallet out and depending on the place—I don’t remember the exact data—but a large percentage get returned. Now, some wallets also get picked clean first, but … so I wrote about this too. (He displays a photo of a roadside rhubarb stand.)
Region: What is this?
Thaler: This is significant. Notice the features of this. It’s a roadside stand; they’re selling rhubarb. And it’s got an honor box with a lock on it.
I think this is exactly the right model of human nature, that if you put this stuff out there, enough people will leave money that it’s worth the farmer’s time to put it out. But if you left the money in a box that was unlocked, somebody would take it.
Region: It takes just one dishonest person to “undo” the honesty of many others …
Thaler: Right. If you ask somebody directions, most people will tell you. It’s very fortunate that we don’t live in a society where everybody is out to take advantage of us. For instance, if you have work done in your house or on your car, there’s absolutely no way for you to monitor what they’re doing, unless you’re willing to spend the time watching them and you happen to know a lot about the work, materials and methods being used.
So it has to involve trust. Trust is really important in society, and anything we can do to increase trust is worthwhile. There’s probably nothing you could do to help an economy grow faster than to increase the amount of trust in society….