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Geographic Information Systems, mapmaking
FLINT, Mich.: New UM-Flint program teaches mapmaking - Technology - MiamiHerald.com: "The Geographic Information Systems Center, which will open at UM-Flint in the fall, is being created to train students on software to make maps that help with planning and improvements. It will give students real-world experience while providing clients help at a lower cost, said Greg Rybarczyk, assistant professor of geography at UM-Flint. "The idea is to have a central location to produce maps for real clients," Rybarczyk said. "There's a high demand for people who know how to work with Geographic Information Systems. There's not a week that goes by that I'm not entertaining a request by either faculty at UM-Flint or an outside agency."" (read more at link above)
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Structured Data, website data
What is Structured Data and Why You Need To Know Now: "Structured Data - Definition: Data on a website that can be classified by a search engine. 4 Types of Structured Data: Schema.org – is a collaborative structured data effort by Google, Microsoft, and Yahoo!; Microformats – basic, simplest form of structured data; Microdata – next generation including HTML5; RDFa – most functionality, works with all XML-based languages; JSON-LD – extract and store data from all of the above. Search Engines That Utilize Structured Data: Google; Bing; Yahoo; Yandex (Russia) . . ." (more at link above)
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Data, Early Release, Fair Play
It's a fine line indeed--
Fair Play Measured in Slivers of a Second - NYTimes.com: " . . . Our view is we’re entitled to do with this data as we like without violating any laws,” Mr. Spector said. “We believed we could release it early. But every person we talked to, including people in finance, said it would be wrong — even though there’s no law that says it’s wrong. But if the man in the street had it explained that certain people could pay to buy data in advance, he’d conclude that markets were rigged against the small guy. Collectively, this hurts business and markets. It’s a matter of trust.” But Thomson Reuters, the University of Michigan, news organizations and other providers of data may have other priorities, including making money. Like the Conference Board, Thomson Reuters has stressed that it doesn’t believe releasing the information early violates any law. It’s certainly not insider trading, although it bears a superficial resemblance to it. But people who trade with superior information aren’t engaging in insider trading if they come by the information legitimately, which may well include buying it. (If, on the other hand, a Thomson Reuters employee stole the data and sold it to someone who traded on it, that would probably be insider trading.) . . . "
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Fair Play Measured in Slivers of a Second - NYTimes.com: " . . . Our view is we’re entitled to do with this data as we like without violating any laws,” Mr. Spector said. “We believed we could release it early. But every person we talked to, including people in finance, said it would be wrong — even though there’s no law that says it’s wrong. But if the man in the street had it explained that certain people could pay to buy data in advance, he’d conclude that markets were rigged against the small guy. Collectively, this hurts business and markets. It’s a matter of trust.” But Thomson Reuters, the University of Michigan, news organizations and other providers of data may have other priorities, including making money. Like the Conference Board, Thomson Reuters has stressed that it doesn’t believe releasing the information early violates any law. It’s certainly not insider trading, although it bears a superficial resemblance to it. But people who trade with superior information aren’t engaging in insider trading if they come by the information legitimately, which may well include buying it. (If, on the other hand, a Thomson Reuters employee stole the data and sold it to someone who traded on it, that would probably be insider trading.) . . . "
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Big Data and Failure
Data is cheaper to come by and easier to play with than ever. Business failure is also more common. An author on using data at work says the two are related, in ultimately positive ways. To begin with, were more willing to experiment, because we know were more likely to be wiped out. More than big computers or huge databases, diversity of information is at the heart of what is called big data. That term may be somewhat hyped, but there is no doubt that analysis of standardized information is becoming the norm in more of our lives, from personal medicine to real-time analytics of big industrial machines. (source infra)
Fail Cheaper, Fail Better - NYTimes.com: "One big result of this failure-driven world, Mr. Croll says, is that organizational leadership is changing toward a more structured learning environment. “In the past, a leader was someone who could get you to do stuff in the absence of information,” he says. “Now it’s the person who can ask the best question about what’s going on, and find an answer.”" (read more at link above)
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Fail Cheaper, Fail Better - NYTimes.com: "One big result of this failure-driven world, Mr. Croll says, is that organizational leadership is changing toward a more structured learning environment. “In the past, a leader was someone who could get you to do stuff in the absence of information,” he says. “Now it’s the person who can ask the best question about what’s going on, and find an answer.”" (read more at link above)
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NSA controversy boosts interest in private search engines
NSA controversy boosts interest in ‘private’ Internet search engines | The Raw Story: "Internet users are taking a fresh look at “privacy” search engines that do not store data or track online activity, in light of the flap over US government surveillance. While Google’s market share has not seen a noticeable dent, privacy search engines like US-based DuckDuckGo and European-based Ixquick have seen jumps in traffic from users seeking to limit their online tracks . . . The stored data has become a concern following revelations of a massive surveillance program run by the secretive National Security Agency, with access to data from Google, Yahoo! and other Internet firms." (read more at link above)
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Vietnam and the Quagmire of Data
Data: poor quality, biased, misanalyzed, used dishonestly, and other forms of invalidity--
Robert McNamara and the Dangers of Big Data at Ford and in the Vietnam War | MIT Technology Review:
" . . . In 1977, two years after the last helicopter lifted off the rooftop of the U.S. embassy in Saigon, a retired Army general, Douglas Kinnard, published a landmark survey called The War Managers that revealed the quagmire of quantification. A mere 2 percent of America’s generals considered the body count a valid way to measure progress. “A fake—totally worthless,” wrote one general in his comments. “Often blatant lies,” wrote another. “They were grossly exaggerated by many units primarily because of the incredible interest shown by people like McNamara,” said a third. The use, abuse, and misuse of data by the U.S. military during the Vietnam War is a troubling lesson about the limitations of information as the world hurls toward the big-data era. The underlying data can be of poor quality. It can be biased. It can be misanalyzed or used misleadingly. And even more damning, data can fail to capture what it purports to quantify. We are more susceptible than we may think to the “dictatorship of data”—that is, to letting the data govern us in ways that may do as much harm as good. . . ." Read more: http://www.technologyreview.com/news/514591/the-dictatorship-of-data/#ixzz2Uu0ckubm
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Robert McNamara and the Dangers of Big Data at Ford and in the Vietnam War | MIT Technology Review:
" . . . In 1977, two years after the last helicopter lifted off the rooftop of the U.S. embassy in Saigon, a retired Army general, Douglas Kinnard, published a landmark survey called The War Managers that revealed the quagmire of quantification. A mere 2 percent of America’s generals considered the body count a valid way to measure progress. “A fake—totally worthless,” wrote one general in his comments. “Often blatant lies,” wrote another. “They were grossly exaggerated by many units primarily because of the incredible interest shown by people like McNamara,” said a third. The use, abuse, and misuse of data by the U.S. military during the Vietnam War is a troubling lesson about the limitations of information as the world hurls toward the big-data era. The underlying data can be of poor quality. It can be biased. It can be misanalyzed or used misleadingly. And even more damning, data can fail to capture what it purports to quantify. We are more susceptible than we may think to the “dictatorship of data”—that is, to letting the data govern us in ways that may do as much harm as good. . . ." Read more: http://www.technologyreview.com/news/514591/the-dictatorship-of-data/#ixzz2Uu0ckubm
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Google Alerts for RSS dead but Bing available
Along with Google Reader, Google Alerts for RSS is also dead. Use Bing instead. | ITworld: " . . . if you prefer to get alerts via RSS and read them at your leisure in your newsreader of choice (and keep the clutter out of your inbox), you might want to try Bing. Just like Google search, you can look up any term on Bing and scroll to the bottom to create a RSS feed out of that keyword or phrase. To do so: . . ."
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Analytics Without Having To Move Data
New Joyent Service Offers Analytics Without Having To Move Data | TechCrunch: "Joyent’s new Manta Storage Service puts the compute together with the data in the cloud where it can be processed in one place. The compute is available directly on the object store, meaning that the data can be queried immediately without having to manage all the underlying infrastructure."
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Massive Open Online Courses Evolve from Data
“The data we are collecting is unprecedented in education,” says Andrew Ng, a cofounder of MOOC provider Coursera and an associate professor at Stanford University. “We see every mouse click and keystroke. We know if a user clicks one answer and then selects another, or fast-forwards through part of a video.”
As Data Floods In, Massive Open Online Courses Evolve | MIT Technology Review: " . . . It’s unclear whether the laundry lists of refinements that result from A/B testing will add up to a grand theory of learning and teaching that challenges tradition. Ng says he doesn’t think a grand theory is needed for MOOCs to succeed. “I read Piaget and Montessori, and they both seem compelling, but educators generally have no way to choose what really works,” he says. “Today, education is an anecdotal science, but I think we can turn education into a data-driven science, where you do what you know works.”"
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As Data Floods In, Massive Open Online Courses Evolve | MIT Technology Review: " . . . It’s unclear whether the laundry lists of refinements that result from A/B testing will add up to a grand theory of learning and teaching that challenges tradition. Ng says he doesn’t think a grand theory is needed for MOOCs to succeed. “I read Piaget and Montessori, and they both seem compelling, but educators generally have no way to choose what really works,” he says. “Today, education is an anecdotal science, but I think we can turn education into a data-driven science, where you do what you know works.”"
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Crunching Data for the Quantitative VC
The Quantitative VC | TechCrunch: ". . . What are the kinds of data that VCs are parsing through? There’s the basic signals like Compete and Alexa data, as well as App Store and Play Store data and rankings. VCs are also combing through sites like LinkedIn to scout talent on who could be starting a company and paying for data streams of SEC filings, and other forms of public financial data from sources like CB Insights, Venture Source and others. And VCs have been flocking to our own CrunchBase, which now has 1.6 million data points on companies, entrepreneurs, fundings, exits and more. CrunchBase President Matt Kaufman recently announced the CrunchBase Venture Network, which gives VC firms access to the CrunchBase API and team in exchange for information on their portfolio companies, including funding updates, staffing changes, product launches and acquisitions. Eleven firms signed up for the data partnership at launch a few weeks ago, including Greylock, DFJ, Softtech VC, SV Angel, Sequoia Capital, Andreessen Horowitz, CrunchFund, 500 Startups, Betaworks, Foundry Group and TechStars. In two weeks, Kaufman says over a hundred firms, including Google Ventures, have joined the network to access CrunchBase data. . . ."
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Data scientists or self-service?
Data scientists don't scale | ZDNet: " . . . The solution to our problem isn't legions of new data scientists. Instead, we need self-service tools that empower smart and tenacious business people to perform Big Data analysis themselves. The specialists will still have an important role, but they won't be the linchpin to scaling Big Data across industries." (read more at link above)
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