The Surprising Accuracy Of Crowdsourced Predictions About The Future


Adele Peters in FastCo-Exist:If you have a question about what’s going to happen next in Syria or North Korea, you might get more accurate predictions by asking a group of ordinary people than from foreign policy experts or even, possibly, CIA agents with classified information. Over the last few years, the Good Judgment Project has proven that crowdsourcing predictions is a surprisingly accurate way to forecast the future.

The project, sponsored by the U.S. Director of National Intelligence office, is currently working with 3,000 people to test their ability to predict outcomes in everything from world politics to the economy. They aren’t experts, just people who are interested in the news.

“We just needed lots of people; we had very few restrictions,” says Don Moore, an associate professor at University of California-Berkeley, who co-led the project. “We wanted people who were interested, and curious, who were moderately well-educated and at least aware enough of the world around them that they listened to the news.”
The group has tackled 250 questions in the experiment so far. None of them have been simple; current questions include whether Turkey will get a new constitution and whether the U.S. and the E.U. will reach a trade deal. But the group consistently got answers right more often than individual experts, just through some simple online research and, in some cases, discussions with each other.
The crowdsourced predictions are even reportedly more accurate than those from intelligence agents. One report says that when “superpredictors,” the people who are right most often, are grouped together in teams, they can outperform agents with classified information by as much as 30%. (The researchers can’t confirm this fact, since the accuracy of spies is, unsurprisingly, classified).
…Crowdsourcing could be useful for any type of prediction, Moore says, not only what’s happening in world politics. “Every major decision depends on a forecast of the future,” he explains. “A company deciding to launch a new product has to figure out what sales might be like. A candidate trying to decide whether to run for office has to forecast how they’ll do in the election. In trying to decide whom to marry, you have to decide what your future looks like together.”
“The way corporations do forecasting now is an embarrassment,” he adds. “Many of the tools we’re developing would be enormously helpful.”
The project is currently recruiting new citizen predictors here.”

 

To the Cloud: Big Data in a Turbulent World


Book by Vincent Mosco: “In the wake of revelations about National Security Agency activities—many of which occur “in the cloud”—this book offers both enlightenment and a critical view. Cloud computing and big data are arguably the most significant forces in information technology today. In clear prose, To the Cloud explores where the cloud originated, what it means, and how important it is for business, government, and citizens. It describes the intense competition among cloud companies like Amazon and Google, the spread of the cloud to government agencies like the controversial NSA, and the astounding growth of entire cloud cities in China. From advertising to trade shows, the cloud and big data are furiously marketed to the world, even as dark clouds loom over environmental, privacy, and employment issues that arise from the cloud. Is the cloud the long-promised information utility that will solve many of the world’s economic and social problems? Or is it just marketing hype? To the Cloud provides the first thorough analysis of the potential and the problems of a technology that may very well disrupt the world.”

Can technology end homelessness?


Geekwire: “At the heart of Seattle’s Pioneer Square neighborhood exists a unique juxtaposition.
Inside a two-story brick building is the Impact Hub co-working space and business incubator, a place where entrepreneurs are busily working on ideas to improve the world we live in.
hacktoendhomelessnessBut walk outside the Impact Hub’s doors, and you’ll enter an entirely different world.
Homelessness. Drugs. Violence.
Now, those two contrasting scenes are coming together.
This weekend, more than 100 developers, designers, entrepreneurs and do-gooders will team up at the Impact Hub for the first-ever Hack to End Homelessness, a four-day event that encourages participants to envision and create ideas to alleviate the homelessness problem in Seattle.
The Washington Low Income Housing Alliance, Real Change and several other local homeless services and advocacy groups have already submitted project proposals, which range from an e-commerce site showcasing artwork of homeless youth to a social network focusing on low-end mobile phones for people who are homeless.
Seattle has certainly made an effort to fix its homelessness problem. Back in 2005, the Committee to End Homelessness established a 10-year plan to dramatically reduce the number of people without homes in the region. By the end of 2014, the goal was to “virtually end,” homelessness in King County.
But fast-forward to today and that hasn’t exactly come to fruition. There are more than 2,300 people in Seattle sleeping in the streets — up 16 percent from 2013 — and city data shows nearly 10,000 households checking into shelters or transitional housing last year. Thousands of others may not be on the streets or in shelters, yet still live without a permanent place to sleep at night.
While some efforts of the committee have helped curb homelessness, it’s clear that there is still a problem — one that has likely been affected by rising rent prices in the area.
Candace Faber, one of the event organizers, said that her team has been shocked by the growth of homelessness in the Seattle metropolitan area. They’re worried not only about how many people do not have a permanent home, but what kind of impact the problem is having on the city as a whole.
“With Seattle experiencing the highest rent hikes in the nation, we’re concerned that, without action, our city will not be able to remain the dynamic, affordable place it is now,” Faber said. “We don’t want to lose our entrepreneurial spirit or wind up with a situation like San Francisco, where you can’t afford to innovate without serious VC backing and there’s serious tension between the housing community and tech workers.”
That raises the question: How, exactly, can technology fix the homeless problem? The stories of these Seattle entrepreneurs helps to provide the answer.

FROM SHELTERS TO STARTUPS

Kyle Kesterson knows a thing or two about being homeless.
That’s because the Freak’n Genius co-founder and CEO spent his childhood living in 14 different homes and apartments, in addition to a bevy of shelters and transitional houses. The moving around and lack of permanent housing made going to school difficult, and finding acceptance anywhere was nearly impossible.
“I was always the new kid, the poor kid, and the smallest kid,” Kesterson says now. “You just become the target of getting picked on.”
By the time he was 15, Kesterson realized that school wasn’t a place that fit his learning style. So, he dropped out to help run his parents’ house-cleaning business in Seattle.
That’s when Kesterson, now a talented artist and designer, further developed his creative skills. The Yuba City, Calif. native would spend hours locked in a room perusing through deviantART.com, a new Internet community where other artists from around the world were sharing their own work and receiving feedback.

So now Kesterson, who plans on attending the final presentations at the Hack for Homelessness event on Sunday, is using his own experiences to teach youth about finding solutions to problems with a entrepreneurial lens. When it comes to helping at-risk youth, or those that are homeless, Kesterson says it’s about finding a thriving and supportive environment — the same one he surrounded himself with while surfing through deviantART 14 years ago.
“Externally, our environment plays a significant role in either setting people up for growth and success, or weighting people down, sucking the life out of them, and eventually leaving them at or near rock bottom,” he said.
For Kesterson, it’s entrepreneurs who can help create these environments for people, and show them that they have the ability and power to solve problems and truly make a difference.
“Entrepreneurs need to first focus on the external and internal environments of those that are homeless,” he said. “Support, help, and inspire. Become a part of their network to mentor and make connections with the challenges they are faced with the way we lean on our own mentor networks.”

FIXING THE ROOT

Lindsay Caron Epstein has always, in some shape or form, been an entrepreneur at heart.
She figured out a way to survive after moving to Arizona from New Jersey with only $100. She figured out how to land a few minimum wage jobs and eventually start a non-profit community center for at-risk youth at just 22 years old.
And now, Caron using her entrepreneurial spirit to help figure out ways to fix social challenges like homelessness.
The 36-year-old is CEO and founder of ActivateHub, a startup working alongside other socially-conscious companies in Seattle’s Fledge Accelerator. ActivateHub is a “community building social action network,” or a place where people can find local events put on by NGOs and other organizations working on a wide variety of issues.
Caron found the inspiration to start the company after organizing programs for troubled youth in Arizona and studying the homelessness problem while in school. She became fascinated with how communities were built in a way that could help people and pull them out of tough situations, but there didn’t appear to be an easy way for people to get involved.
“If you do a Google search for poverty, homelessness, climate change — any issue you care about — you’ll just find news articles and blogs,” Caron explained. “You don’t find who in your community is working on those problems and you don’t find out how you can get involved.”
Caron says her company can help those that may not have a home or have anything to do. ActivateHub, she said, might give them a reason to become engaged in something and create a sense of value in the community.
“It gives people a reason to clean up and enables them to make connections,” said Caron, who will also be attending this weekend’s event. “Some people need that inspiration and purpose to change their situation, and a lot of times that motivation isn’t there.”
Of course, ActivateHub alone isn’t going to solve the homelessness problem by itself. Caron knows this and thinks that entrepreneurs can help by focusing on more preventative measures. Sure, technology can be used to help connect homeless people to certain resources, but there’s a deeper issue at hand for Caron…”

This is what happens when you give social networking to doctors


in PandoDaily: “Dr. Gregory Kurio will never forget the time he was called to the ER because a epileptic girl was brought in suffering a cardiac arrest of sorts (HIPAA mandates he doesn’t give out the specific details of the situation). In the briefing, he learned the name of her cardiac physician who he happened to know through the industry. He subsequently called the other doctor and asked him to send over any available information on the patient — latest meds, EKGs, recent checkups, etc.

The scene in the ER was, to be expected, one of chaos, with trainees and respiratory nurses running around grabbing machinery and meds. Crucial seconds were ticking past, and Dr. Kurio quickly realized the fax machine was not the best approach for receiving the records he needed. ER fax machines are often on the opposite of the emergency room, take awhile to print lengthy of records, frequently run out of paper, and aren’t always reliable – not exactly the sort of technology you want when a patient’s life or death hangs in the midst.

Email wasn’t an option either, because HIPAA mandates that sensitive patient files are only sent through secure channels. With precious little time to waste, Dr. Kurio decided to take a chance on a new technology service he had just signed up for — Doximity.

Doximity is a LinkedIn for Doctors of sorts. It has, as one feature, a secure e-fax system that turns faxes into digital messages and sends them to a user’s mobile device. Dr. Kurio gave the other physician his e-fax number, and a little bit of techno-magic happened.

….

With a third of the nation’s doctors on the platform, today Doximity announced a $54 million Series C from DFJ,  T. Rowe Price Associates, Morgan Stanley, and existing investors. The funding news isn’t particularly important, in and of itself, aside from the fact that the company is attracting the attention of private market investors very early in its growth trajectory. But it’s a good opportunity to take a look at Doximity’s business model, how it mirrors the upwards growth of other vertical professional social networks (say that five times fast), and the way it’s transforming our healthcare providers’ jobs.

Doximity works, in many ways, just like LinkedIn. Doctors have profiles with pictures and their resume, and recruiters pay the company to message medical professionals. “If you think it’s hard to find a Ruby developer in San Francisco, try to find an emergency room physician in Indiana,” Doximity CEO Jeff Tangney says. One recruiter’s pain is a smart entrepreneur’s pleasure — a simple, straightforward monetization strategy.

But unlike LinkedIn, Doximity can dive much deeper on meeting doctors’ needs through specialized features like the e-fax system. It’s part of the reason Konstantin Guericke, one of LinkedIn’s “forgotten” co-founders, was attracted to the company and decided to join the board as an advisor. “In some ways, it’s a lot like LinkedIn,” Guericke says, when asked why he decided to help out. “But for me it’s the pleasure of focusing on a more narrow audience and making more of an impact on their life.”

In another such high-impact, specialized feature, doctors can access Doximity’s Google Alerts-like system for academic articles. They can sign up to receive notifications when stories are published about their obscure specialties. That means time-strapped physicians gain a more efficient way to stay up to date on all the latest research and information in their field. You can imagine that might impact the quality of the care they provide.

Lastly, Doximity offers a secure messaging system, allowing doctors to email one another regarding a fellow patient. Such communication is a thorny issue for doctors given HIPPA-related privacy requirements. There are limited ways to legally update say, a primary care physician when a specialist learns one of their patients has colon cancer. It turns into a big game of phone tag to relay what should be relatively straightforward information. Furthermore, leaving voicemails and sending faxes can result in details getting lost in what its an searchable system.

The platform is free for doctors, and it has attracted them quickly join in droves. Doximity co-founder and CEO Jeff Tangney estimates that last year the platform had added 15 to 16 percent of US doctors. But this year, the company claims it’s “on track to have half of US physicians as members by this summer.” Fairly impressive growth rate and market penetration.

With great market penetration comes great power. And dollars. Although the company is only monetizing through recruitment at the moment, the real money to be made with this service is through targeted advertising. Think about how much big pharma and medtech companies would be willing to cough up to to communicate at scale with the doctors who make purchasing decisions. Plus, this is an easy way for them to target industry thought leaders or professionals with certain specialties.

Doximity’s founders’ and investors’ eyes might be seeing dollar signs, but they haven’t rolled anything out yet on the advertising front. They’re wary and want to do so in a way that ads value to all parties while avoiding pissing off medical professionals. When they finally pul lthe trigger, however, it’s has the potential to be a Gold Rush.

Doximity isn’t the only company to have discovered there’s big money to be made in vertical professional social networks. As Pando has written, there’s a big trend in this regard. Spiceworks, the social network for IT professionals which claims to have a third of the world’s IT professionals on the site, just raised $57 million in a round led by none other than Goldman Sachs. Why does the firm have such faith in a free social network for IT pros — seemingly the most mundane and unprofitable of endeavors? Well, just like with doctor and pharma corps, IT companies are willing to shell out big to market their wares directly to such IT pros.

Although the monetization strategies differ from business to business, ResearchGate is building a similar community with a social network of scientists around the world, Edmodo is doing it with educators, GitHub with developers, GrabCAD for mechanical engineers. I’ve argued that such vertical professional social networks are a threat to LinkedIn, stealing business out from under it in large industry swaths. LinkedIn cofounder Konstantin Guericke disagrees.

“I don’t think it’s stealing revenue from them. Would it make sense for LinkedIn to add a profile subset about what insurance someone takes? That would just be clutter,” Guericke says. “It’s more going after an opportunity LinkedIn isn’t well positioned to capitalize on. They could do everything Doximity does, but they’d have to give up something else.”

All businesses come with their own challenges, and Doximity will certainly face its share of them as it scales. It has overcome the initial hurdle of achieving the network effects that come with penetrating the a large segment of the market. Next will come monetizing sensitively and continuing to protecting users — and patients’ — privacy.

There are plenty of data minefields to be had in a sector as closely regulated as healthcare, as fellow medical startup Practice Fusion recently found out. Doximity has to make sure its system for onboarding and verifying new doctors is airtight. The company has already encountered some instances of individuals trying to pose as medical professionals to get access to another’s records — specifically a former lover trying to chase down their ex-spouse’s STI tests. One blowup where the company approves someone they shouldn’t or hackers break into the system, and doctors could lose trust in the safety of the technology….”

Looking for the Needle in a Stack of Needles: Tracking Shadow Economic Activities in the Age of Big Data


Manju Bansal in MIT Technology Review: “The undocumented guys hanging out in the home-improvement-store parking lot looking for day labor, the neighborhood kids running a lemonade stand, and Al Qaeda terrorists plotting to do harm all have one thing in common: They operate in the underground economy, a shadowy zone where businesses, both legitimate and less so, transact in the currency of opportunity, away from traditional institutions and their watchful eyes.
One might think that this alternative economy is limited to markets that are low on the Transparency International rankings (such as sub-Saharan Africa and South Asia, for instance). However, a recent University of Wisconsin report estimates the value of the underground economy in the United States at about $2 trillion, about 15% of the total U.S. GDP. And a 2013 study coauthored by Friedrich Schneider, a noted authority on global shadow economies, estimated the European Union’s underground economy at more than 18% of GDP, or a whopping 2.1 trillion euros. More than two-thirds of the underground activity came from the most developed countries, including Germany, France, Italy, Spain, and the United Kingdom.
Underground economic activity is a multifaceted phenomenon, with implications across the board for national security, tax collections, public-sector services, and more. It includes the activity of any business that relies primarily on old-fashioned cash for most transactions — ranging from legitimate businesses (including lemonade stands) to drug cartels and organized crime.
Though it’s often soiled, heavy to lug around, and easy to lose to theft, cash is still king simply because it is so easy to hide from the authorities. With the help of the right bank or financial institution, “dirty” money can easily be laundered and come out looking fresh and clean, or at least legitimate. Case in point is the global bank HSBC, which agreed to pay U.S. regulators $1.9 billion in fines to settle charges of money laundering on behalf of Mexican drug cartels. According to a U.S. Senate subcommittee report, that process involved transferring $7 billion in cash from the bank’s branches in Mexico to those in the United States. Just for reference, each $100 bill weighs one gram, so to transfer $7 billion, HSBC had to physically transport 70 metric tons of cash across the U.S.-Mexican border.
The Financial Action Task Force, an intergovernmental body established in 1989, has estimated the total amount of money laundered worldwide to be around 2% to 5% of global GDP. Many of these transactions seem, at first glance, to be perfectly legitimate. Therein lies the conundrum for a banker or a government official: How do you identify, track, control, and, one hopes, prosecute money launderers, when they are hiding in plain sight and their business is couched in networked layers of perfectly defensible legitimacy?
Enter big-data tools, such as those provided by SynerScope, a Holland-based startup that is a member of the SAP Startup Focus program. This company’s solutions help unravel the complex networks hidden behind the layers of transactions and interactions.
Networks, good or bad, are near omnipresent in almost any form of organized human activity and particularly in banking and insurance. SynerScope takes data from both structured and unstructured data fields and transforms these into interactive computer visuals that display graphic patterns that humans can use to quickly make sense of information. Spotting of deviations in complex networked processes can easily be put to use in fraud detection for insurance, banking, e-commerce, and forensic accounting.
SynerScope’s approach to big-data business intelligence is centered on data-intense compute and visualization that extend the human “sense-making” capacity in much the same way that a telescope or microscope extends human vision.
To understand how SynerScope helps authorities track and halt money laundering, it’s important to understand how the networked laundering process works. It typically involves three stages.
1. In the initial, or placement, stage, launderers introduce their illegal profits into the financial system. This might be done by breaking up large amounts of cash into less-conspicuous smaller sums that are then deposited directly into a bank account, or by purchasing a series of monetary instruments (checks, money orders) that are then collected and deposited into accounts at other locations.
2. After the funds have entered the financial system, the launderer commences the second stage, called layering, which uses a series of conversions or transfers to distance the funds from their sources. The funds might be channeled through the purchase and sales of investment instruments, or the launderer might simply wire the funds through a series of accounts at various banks worldwide. 
Such use of widely scattered accounts for laundering is especially prevalent in those jurisdictions that do not cooperate in anti-money-laundering investigations. Sometimes the launderer disguises the transfers as payments for goods or services.
3. Having successfully processed the criminal profits through the first two phases, the launderer then proceeds to the third stage, integration, in which the funds re-enter the legitimate economy. The launderer might invest the funds in real estate, luxury assets, or business ventures.
Current detection tools compare individual transactions against preset profiles and rules. Sophisticated criminals quickly learn how to make their illicit transactions look normal for such systems. As a result, rules and profiles need constant and costly updating.
But SynerScope’s flexible visual analysis uses a network angle to detect money laundering. It shows the structure of the entire network with data coming in from millions of transactions, a structure that launderers cannot control. With just a few mouse clicks, SynerScope’s relation and sequence views reveal structural interrelationships and interdependencies. When those patterns are mapped on a time scale, it becomes virtually impossible to hide abnormal flows.

SynerScope’s relation and sequence views reveal structural and temporal transaction patterns which make it virtually impossible to hide abnormal money flows.”

Using data to treat the sickest and most expensive patients


Dan Gorenstein for Marketplace (radio):  “Driving to a big data conference a few weeks back, Dr. Jeffrey Brenner brought his compact SUV to a full stop – in the middle of a short highway entrance ramp in downtown Philadelphia…

Here’s what you need to know about Dr. Jeffrey BrennerHe really likes to figure out how things work. And he’s willing to go to extremes to do it – so far that he’s risking his health policy celebrity status.
Perhaps it’s not the smartest move from a guy who just last fall was named a MacArthur Genius, but this month, Brenner began to test his theory for treating some of the sickest and most expensive patients.
“We can actually take the sickest and most complicated patients, go to their bedside, go to their home, go with them to their appointments and help them for about 90 days and dramatically improve outcomes and reduce cost,” he says.
That’s the theory anyway. Like many ideas when it comes to treating the sickest patients, there’s little data to back up that it works.
Brenner’s willing to risk his reputation precisely because he’s not positive his approach for treating folks who cycle in and out of the healthcare system — “super-utilizers” — actually works.
“It’s really easy for me at this point having gotten a MacArthur award to simply declare what we do works and to drive this work forward without rigorously testing it,” Brenner said. “We are not going to do that,” he said. “We don’t think that’s the right thing to do. So we are going to do a randomized controlled trial on our work and prove whether it works and how well it works.”
Helping lower costs and improve care for the super-utilizers is one of the most pressing policy questions in healthcare today. And given its importance, there is a striking lack of data in the field.
People like to call randomized controlled trials (RCTs) the gold standard of scientific testing because two groups are randomly assigned – one gets the treatment, while the other doesn’t – and researchers closely monitor differences.
But a 2012 British Medical Journal article found over the last 25 years, a total of six RCTs have focused on care delivery for super-utilizers.

Randomized Clinical Trials (RCTs)

…Every major health insurance company – Medicare and Medicaid, too – has spent billions on programs for super-utilizers. The absence of rigorous evidence raises the question: Is all this effort built on health policy quicksand?
Not being 100 percent sure can be dangerous, says Duke behavioral scientist Peter Ubel, particularly in healthcare.
Ubel said back in the 1980s and 90s doctors prescribed certain drugs for irregular heartbeats. The medication, he said, made those weird rhythms go away, leaving beautiful-looking EKGs.
“But no one had tested whether people receiving these drugs actually lived longer, and many people thought, ‘Why would you do that? We can look at their cardiogram and see that they’re getting better,’” Ubel said. “Finally when somebody put that evidence to the test of a randomized trial, it turned out that these drugs killed people.”
WellPoint’s Nussbaum said he hoped Brenner’s project would inspire others to follow his lead and insert data into the discussion.
“I believe more people should be bold in challenging the status quo of our delivery system,” Nussbaum said. “The Jeff Brenners of the world should be embraced. We should be advocating for them to take on these studies.”
So why aren’t more healthcare luminaries putting their brilliance to the test? There are a couple of reasons.
Harvard economist Kate Baicker said until now there have been few personal incentives pushing people.
“If you’re focused on branding and spreading your brand, you have no incentive to say, ‘How good is my brand after all?’” she said.
And Venrock healthcare venture capitalist Bob Kocher said no one would fault Brenner if he put his brand before science, an age-old practice in this business.
“Healthcare has benefitted from the fact that you don’t understand it. It’s a bit of an art, and it hasn’t been a science,” he said. “You made money in healthcare by putting a banner outside your building saying you are a top something without having to justify whether you really are top at whatever you do.”
Duke’s Ubel said it’s too easy – and frankly, wrong – to say the main reason doctors avoid these rigorous studies is because they’re afraid to lose money and status. He said doctors aren’t immune from the very human trap of being sure their own ideas are right.
He says psychologists call it confirmation bias.
“Everything you see is filtered through your hopes, your expectations and your pre-existing beliefs,” Ubel said. “And that’s why I might look at a grilled cheese sandwich and see a grilled cheese sandwich and you might see an image of Jesus,” he says.
Even with all these hurdles, MIT economist Amy Finkelstein – who is running the RCT with Brenner – sees change coming.
“Providers have a lot more incentive now than they use to,” she said. “They have much more skin in the game.”
Finkelstein said hospital readmission penalties and new ways to pay doctors are bringing market incentives that have long been missing.
Brenner said he accepts that the truth of what he’s doing in Camden may be messier than the myth.

Cyberlibertarians’ Digital Deletion of the Left


in Jacobin: “The digital revolution, we are told everywhere today, produces democracy. It gives “power to the people” and dethrones authoritarians; it levels the playing field for distribution of information critical to political engagement; it destabilizes hierarchies, decentralizes what had been centralized, democratizes what was the domain of elites.
Most on the Left would endorse these ends. The widespread availability of tools whose uses are harmonious with leftist goals would, one might think, accompany broad advancement of those goals in some form. Yet the Left today is scattered, nearly toothless in most advanced democracies. If digital communication technology promotes leftist values, why has its spread coincided with such a stark decline in the Left’s political fortunes?
Part of this disconnect between advancing technology and a retreating left can be explained by the advent of cyberlibertarianism, a view that widespread computerization naturally produces democracy and freedom.
In the 1990s, UK media theorists Richard Barbrook and Andy Cameron, US journalist Paulina Borsook, and US philosopher of technology Langdon Winner introduced the term to describe a prominent worldview in Silicon Valley and digital culture generally; a related analysis can be found more recently in Stanford communication scholar Fred Turner’s work. While cyberlibertarianism can be defined as a general digital utopianism, summed up by a simple slogan like “computerization will set us free” or “computers provide the solution to any and all problems,” these writers note a specific political formation — one Winner describes as “ecstatic enthusiasm for electronically mediated forms of living with radical, right-wing libertarian ideas about the proper definition of freedom, social life, economics, and politics.”
There are overt libertarians who are also digital utopians — figures like Jimmy Wales, Eric Raymond, John Perry Barlow, Kevin Kelly, Peter Thiel, Elon Musk, Julian Assange, Dread Pirate Roberts, and Sergey Brin, and the members of the Technology Liberation Front who explicitly describe themselves as cyberlibertarians. But the term also describes a wider ideological formation in which people embrace digital utopianism as compatible or even identical with leftist politics opposed to neoliberalism.
In perhaps the most pointed form of cyberlibertarianism, computer expertise is seen as directly applicable to social questions.  In The Cultural Logic of Computation, I argue that computational practices are intrinsically hierarchical and shaped by identification with power. To the extent that algorithmic forms of reason and social organization can be said to have an inherent politics, these have long been understood as compatible with political formations on the Right rather than the Left.
Yet today, “hacktivists” and other promoters of the liberatory nature of mass computerization are prominent political voices, despite their overall political commitments remaining quite unclear. They are championed by partisans of both the Right and the Left as if they obviously serve the political ends of each. One need only reflect on the leftist support for a project like Open Source software to notice the strange and under-examined convergence of the Right and Left around specifically digital practices whose underlying motivations are often explicitly libertarian. Open Source is a deliberate commercialization of Richard Stallman’s largely noncommercial notion ofFree Software (see Stallman himself on the distinction). Open Source is widely celebrated by libertarians and corporations, and was started by libertarian Eric Raymond and programmer Bruce Perens, with support from businessman and corporate sympathizer Tim O’Reilly. Today the term Open Source has wide currency as a political imperative outside the software development community, despite its place on the Right-Left spectrum being at best ambiguous, and at worst explicitly libertarian and pro-corporate.
When computers are involved, otherwise brilliant leftists who carefully examine the political commitments of most everyone they side with suddenly throw their lot in with libertarians — even when those libertarians explicitly disavow Left principles in their work…”

Testing Theories of American Politics: Elites, Interest Groups, and Average Citizens


Paper by Martin Gilens and Benjamin I. Page :”Who governs? Who really rules? To what extent is the broad body of U.S. citizens sovereign, semi-sovereign, or largely powerless? These questions have animated much important work in the study of American politics.
While this body of research is rich and variegated, it can loosely be divided into four families of theories: Majoritarian Electoral Democracy, Economic Elite Domination, and two types of interest group pluralism –Majoritarian Pluralism, in which the interests of all citizens are more or less equally represented, and Biased Pluralism, in which corporations, business associations, and professional groups predominate) Each of these perspectives makes different predictions about the independent influence upon U.S. policy making of four sets of actors: the Average Citizen or “median voter,” Economic Elites, and Mass-based or Business-oriented Interest Groups or industries.
Each of these theoretical traditions has given rise to a large body of literature. Each is supported by a great deal of empirical evidence – some of it quantitative, some historical, some observational – concerning the importance of various sets of actors (or, all too often, a single set of actors) in U.S. policy making. This literature has made important contributions to our understanding of how American politics works and has helped illuminate how democratic or undemocratic (in various senses) our policy making process actually is. Until very recently, however, it has been impossible to test the diffe ring predictions of these theories against each other within a single statistical model that permits one to analyze
the independent effects of each set of actors upon policy outcomes.
Here – in a tentative and preliminary way – we offer such test, bringing a unique data set to bear on the problem. Our measures are far from
perfect, but we hope that this first step will help inspire further research into what we see as some of the most fundamental questions about American politics…”

Open Dialogue on Improving How to Do Business with the Federal Government


CIO Council: “We are looking for ideas on how to streamline and make other improvements in the way businesses of all sizes work for and with the U.S. Federal government.
(Deadline for participation – May 5, 2014.)

The purpose of the dialogue is to discuss improvements to the Federal contracting process. Through this platform, we will gather ideas and proposed improvements that can be accomplished through executive (regulatory, administrative, or management) action, as well as potential legislative proposals (new laws). The open dialogue is focused around three topics (campaigns). Each campaign is a unique aspect of the Federal contracting process for which we welcome your insight, ideas, and feedback.
Please remember to check back frequently to comment on or share thoughts on emerging ideas and identify those you believe to be most impactful.

  • Currently, the Federal Government requires businesses to fill out a lot of complicated paperwork to do business with us. We know we can do better. We want to know what you are seeing – where can we reengineer paperwork and systems, eliminate duplicative reporting, reduce the frequency of reporting, and/or change outdated requirements?

  • We know entities doing business in the private sector have best practices and we’re anxious to learn about and replicate in the Federal Government wherever possible. We want to hear about innovative approaches to contracting that align with your business practices.

  • We know many businesses lack the resources and expertise to participate in the Federal marketplace. We welcome feedback – especially by entities that are not participating in Federal contracting – to understand what steps we can take to make your participation possible.”

The Open Data 500: Putting Research Into Action


TheGovLab Blog: “On April 8, the GovLab made two significant announcements. At an open data event in Washington, DC, I was pleased to announce the official launch of the Open Data 500, our study of 500 companies that use open government data as a key business resource. We also announced that the GovLab is now planning a series of Open Data Roundtables to bring together government agencies with the businesses that use their data – and that five federal agencies have agreed to participate. Video of the event, which was hosted by the Center for Data Innovation, is available here.
The Open Data 500, funded by the John S. and James L. Knight Foundation, is the first comprehensive study of U.S.-based companies that rely on open government data.  Our website at OpenData500.com includes searchable, sortable information on 500 of these companies.  Our data about them comes from responses to a survey we’ve sent to all the companies (190 have responded) and what we’ve been able to learn from research using public information.  Anyone can now explore this website, read about specific companies or groups of companies, or download our data to analyze it. The website features an interactive tool on the home page, the Open Data Compass, that shows the connections between government agencies and different categories of companies visually.
We began work on the Open Data 500 study last fall with three goals. First, we wanted to collect information that will ultimately help calculate the economic value of open data – an important question for policymakers and others. Second, we wanted to present examples of open data companies to inspire others to use this important government resource in new ways. And third – and perhaps most important – we’ve hoped that our work will be a first step in creating a dialogue between the government agencies that provide open data and the companies that use it.
That dialogue is critically important to make government open data more accessible and useful. While open government data is a huge potential resource, and federal agencies are working to make it more available, it’s too often trapped in legacy systems that make the data difficult to find and to use. To solve this problem, we plan to connect agencies to their clients in the business community and help them work together to find and liberate the most valuable datasets.
We now plan to convene and facilitate a series of Open Data Roundtables – a new approach to bringing businesses and government agencies together. In these Roundtables, which will be informed by the Open Data 500 study, companies and the agencies that provide their data will come together in structured, results-oriented meetings that we will facilitate. We hope to help figure out what can be done to make the most valuable datasets more available and usable quickly.
We’ve been gratified by the immediate positive response to our plan from several federal agencies. The Department of Commerce has committed to help plan and participate in the first of our Roundtables, now being scheduled for May. By the time we announced our launch on April 8, the Departments of Labor, Transportation, and Treasury had also signed up. And at the end of the launch event, the Deputy Chief Information Officer of the USDA publicly committed her agency to participate as well…”