New York Times: “Because of the rapid spread of cellular phones, mobile technology has previously been used to address a variety of problems in the developing world, including access to financial services, health care information and education. But toilets were another matter….Building on a process that had previously been employed to address problems in supplying clean water to people in poor areas, the World Bank turned its attention to sanitation. Over six months last year, it solicited ideas from experts in the field, as well as software developers. The process culminated in early December with the actual hackathon — two days in which more than 1,000 developers gathered in 40 cities worldwide to work on their projects….After the event in Washington, the winners of the hackathon are set to travel to Silicon Valley for meetings with venture capitalists and entrepreneurs who are interested in the issue. The World Bank does not plan to invest in the projects, but hopes that others might.”
See also http://www.sanitationhackathon.org/
The Rise of Big Data
Kenneth Neil Cukier and Viktor Mayer-Schoenberger in Foreign Affairs: “Everyone knows that the Internet has changed how businesses operate, governments function, and people live. But a new, less visible technological trend is just as transformative: “big data.” Big data starts with the fact that there is a lot more information floating around these days than ever before, and it is being put to extraordinary new uses. Big data is distinct from the Internet, although the Web makes it much easier to collect and share data. Big data is about more than just communication: the idea is that we can learn from a large body of information things that we could not comprehend when we used only smaller amounts.”
Gideon Rose, editor of Foreign Affairs, sits down with Kenneth Cukier, data editor of The Economist (video):
Investigating Terror in the Age of Twitter
Michael Chertoff and Dallas Lawrence in WSJ: “A dozen years ago when the terrorists struck on 9/11, there was no Facebook or Twitter or i-anything on the market. Cellphones were relatively common, but when cell networks collapsed in 2001, many people were left disconnected and wanting for immediate answers. Last week in Boston, when mobile networks became overloaded following the bombings, the social-media-savvy Boston Police Department turned to Twitter, using the platform as a makeshift newsroom to alert media and concerned citizens to breaking news.
Law-enforcement agencies around the world will note how social media played a prominent role both in telling the story and writing its eventual conclusion. Some key lessons have emerged.”
China identified as main source behind cyber-espionage
Washington Post: “Analyses of hundreds of documented data breaches found that hackers affiliated with the Chinese government were by far the most energetic and successful cyberspies in the world last year, according to a report to be issued Tuesday by government and industry investigators.
Although hackers with financial motives are the most common source of data breaches worldwide, China dominated the category of state-affiliated cyber-espionage of intellectual property, said the 2013 Data Breach Investigations Report. The report was issued by Verizon’s RISK Team and 18 partners, including officials from the United States and several foreign governments.
Of 120 incidents of government cyber-espionage detailed in the report, 96 percent came from China; the source of the other 4 percent was unknown, it said.”
Knowing Where to Focus the Wisdom of Crowds
Nick Bilton in NYT: “It looks as if the theory of the “wisdom of crowds” doesn’t apply to terrorist manhunts. Last week after the Boston Marathon bombings, the Internet quickly offered to help find the people responsible. In a scene metaphorically reminiscent of a movie in which vigilantes swarm the streets with pitchforks and lanterns, people took to Reddit, the popular community and social news Web site, and started scouring images posted online from the bombings.
One Reddit forum told users to search for ”people carrying black bags,” and noted that “if they look suspicious, then post them. Then people will try and follow their movements using all the images.” In the process, each time a scrap of information was discovered — the color of a hat, the type of straps on a backpack, the weighted droop of a bag — it was passed out on Twitter like “Wanted” posters tacked to lampposts. It didn’t matter whether it was right, wrong or even completely made up (some images posted to forums had been manipulated) — off it went, fiction and fact indistinguishable. Some misinformation online landed on the front page of The New York Post, incorrectly identifying an innocent high school student as a suspect. Later in the week, the Web wrongly identified one of the suspects as a student from Brown University who went missing earlier this month…
Perhaps the scariest aspect of these crowd-like investigations is that when information is incorrect, no one is held responsible.
As my colleague David Carr noted in his column this week, “even good reporters with good sources can end up with stories that go bad.” But the difference between CNN, The Associated Press or The New York Post getting it wrong, is that those names are held accountable when they publish incorrect news. No one is going to remember, or punish, the users on Reddit or Twitter who incorrectly identify random high school runners and missing college students as terrorists.”
Reinvent Regulation
Reinvent Roundtable that will take place on April 23, 2013 11:00 am PT : “Tim O’Reilly has some big ideas about how to dramatically modernize the entire notion of government regulation, particularly “algorithmic regulation” that harnesses computer power, much like top tech companies in Silicon Valley, to oversee the financial industry, which is using those same tools. This roundtable features some top talent from the Valley to apply their brains to figuring out how we could reinvent much more iterative regulation that constantly gets refined through analyzing data and processing feedback loops – much like Google refines its search techniques. In fact, we’ll have a top person from Google Search as well as someone from the US Treasury Department to work on these ideas. Watch Now →”
http://reinventors.net/roundtables/reinvent-regulation/
Crowd diagnosis could spot rare diseases doctors miss
New Scientist: “Diagnosing rare illnesses could get easier, thanks to new web-based tools that pool information from a wide variety of sources…CrowdMed, launched on 16 April at the TedMed conference in Washington DC, uses crowds to solve tough medical cases.
Anyone can join CrowdMed and analyse cases, regardless of their background or training. Participants are given points that they can then use to bet on the correct diagnosis from lists of suggestions. This creates a prediction market, with diagnoses falling and rising in value based on their popularity, like stocks in a stock market. Algorithms then calculate the probability that each diagnosis will be correct. In 20 initial test cases, around 700 participants identified each of the mystery diseases as one of their top three suggestions….
Frustrated patients and doctors can also turn to FindZebra, a recently launched search engine for rare diseases. It lets users search an index of rare disease databases looked after by a team of researchers. In initial trials, FindZebra returned more helpful results than Google on searches within this same dataset.”
The Dark Side of the Digital Revolution
Eric Schmidt, Google’s executive chairman and former CEO. and Jared Cohen, director of Google Ideas in the WSJ: “…While technology has great potential to bring about change, there is a dark side to the digital revolution that is too often ignored. There is a turbulent transition ahead for autocratic regimes as more of their citizens come online, but technology doesn’t just help the good guys pushing for democratic reform—it can also provide powerful new tools for dictators to suppress dissent.
Fifty-seven percent of the world’s population still lives under some sort of autocratic regime. In the span of a decade, the world’s autocracies will go from having a minority of their citizens online to a majority. From Tehran to Beijing, autocrats are building the technology and training the personnel to suppress democratic dissent, often with the help of Western companies….
Dictators and autocrats in the years to come will attempt to build all-encompassing surveillance states, and they will have unprecedented technologies with which to do so. But they can never succeed completely. Dissidents will build tunnels out and bridges across. Citizens will have more ways to fight back than ever before—some of them anonymous, some courageously public.
The digital revolution will continue. For all the complications this revolution brings, no country is worse off because of the Internet. And with five billion people set to join us online in the coming decades—perhaps someday even the Pyongyang traffic police and the students in the Potemkin computer lab we visited in North Korea among them—the digital future can be bright indeed, despite its dark side.”
See also: “The New Digital Age: Reshaping the Future of People, Nations and Business,
Kickstarting People
Dave Girouard, co-founder and CEO of Upstart in Wired: “A total $2.7 billion was pledged by individual donors through crowdfunding last year, according to reports by research firm Massolution — up 81% from the year before. This space is only going to heat up further when SEC rules for the JOBS Act are released this year, paving the way for equity crowdfunding….
Crowdfunders and angel investors, while not purely philanthropic, share the common desire to participate and be involved in the creation of something new.Put another way, it’s more about cause than cash (a phrase I picked up from Kiva co-founder Jessica Jackley). And that desire is the disruptive “feature” of crowdfunding….
Predicting success for a newbie startup is notoriously difficult. But investing in people is one of the only ways to get a risk/return/volatility investment profile that actually works. It’s a model that could also appeal to quant (not just cause) investors as well…companies like Upstart (which I founded) and Pave make it easy for people to invest in other people.
Why is investing in people a safer bet? Because there are clear — and measurable — signals reflecting their accomplishments and hinting at their potential. It’s not unlike the logic used by big companies or universities faced with countless candidates, by recruiting firms and talent agents, and others. By using data and algorithms — in this case, a sophisticated regression model that considers variables like school, area of study, standardized test scores, internships, job offers — we can statistically predict a person’s future income.
Such a model allows a person to “borrow” from his or her future self.”
White House: Unleashing the Power of Big Data
Tom Kalil, Deputy Director for Technology and Innovation at OSTP : “As we enter the second year of the Big Data Initiative, the Obama Administration is encouraging multiple stakeholders, including federal agencies, private industry, academia, state and local government, non-profits, and foundations to develop and participate in Big Data initiatives across the country. Of particular interest are partnerships designed to advance core Big Data technologies; harness the power of Big Data to advance national goals such as economic growth, education, health, and clean energy; use competitions and challenges; and foster regional innovation.
The National Science Foundation has issued a request for information encouraging stakeholders to identify Big Data projects they would be willing to support to achieve these goals. And, later this year, OSTP, NSF, and other partner agencies in the Networking and Information Technology R&D (NITRD) program plan to convene an event that highlights high-impact collaborations and identifies areas for expanded collaboration between the public and private sectors.”