Category Archives: Technology and innovation

Obama Defends “Big Brother” Powers

The NC commentariat has already done a deep dive into the IT and practical issues surrounding the NSA surveillance program leaks from Glenn Greenwald and the Guardian. This Real News Network interview with Paul Jay looks at the Administration’s initial response to those revelations. It’s a useful piece to circulate to friends and colleagues who might be unduly receptive to the “this is all done for your safety” claims. I suppose it’s useful to have Obama make it explicit he thinks that his interpretation of security needs comes before upholding the Constitution.

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Could the Verizon-NSA Metadata Collection Be a Stealth Political Kickback?

By Patrick Durusau, who consults on semantic integration and edits standards. Durusau is convener of JTC 1 SC 34/WG 3, co-editor of 13250-1 and 13250-5 (Topic Maps Introduction and Reference Model, respectively), and editor of the OpenDocument Format (ODF) standard at OASIS and ISO (ISO/IEC 26300). Originally published at Another Word for It.

Why Verizon?

The first question that came to mind when the Guardian broke the news on NSA-Verizon phone record metadata collection.

Here’s why I ask:

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Wolf Richter: Lobbying And GMO Giant Monsanto Buckles In Europe

The “March Against Monsanto” in 52 countries, an unapproved strain of its genetically modified wheat growing profusely in Oregon, cancelled wheat export orders…. A rough week for Monsanto. Now it threw in the towel in Europe where its deep pockets and mastery of lobbying had failed: “It’s counterproductive to fight against windmills,” it explained.

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Is Apple Risking Its Brand Overseas With Its Tax Gimmicks?

For those immune to Apple lust or otherwise unwilling to cut the Cupertino giant slack just because it has sleek products and cool stores, a new article by tax maven Lee Sheppard at Forbes gives a layperson-friendly overview of how Apple managed to keep $44 billion of revenues out of the hands of the tax men.

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Cathy O’Neil: The Rise of Big Data, Big Brother

By Cathy O’Neil, a data scientist and a member of the Occupy Wall Street Alternative Banking Group. Cross posted from mathbabe

I recently read and article off the newsstand called The Rise of Big Data, It was written by Kenneth Neil Cukier and Viktor Mayer-Schoenberger and it was published in the May/June 2013 edition of Foreign Affairs, which is published by the Council on Foreign Relations (CFR). I mention this because CFR is an influential think tank, filled with powerful insiders, including people like Robert Rubin himself, and for that reason I want to take this view on big data very seriously: it might reflect the policy view before long.

I’m glad it’s not all rainbows and sunshine when it comes to big data in this article. Unfortunately, whether because they’re tied to successful business interests, or because they just haven’t thought too deeply about the dark side, their concerns seem almost token, and their examples bizarre.

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Inequality, Technical Change and the “Hunger for Surplus Value”

By Alejandro Nadal, Professor at the Centre for Economic Studies of El Colegio de Mexico. Cross posted from Triple Crisis

There is (almost) no quarrel about the fact that inequality has increased during the past three or four decades. One of the consequences of this is the growth of unsustainable indebtedness of households in order to maintain aggregate demand, a problem intimately related to the global financial crisis and the so-called Great Recession.

So it is critically important to understand the causes of this rising inequality.

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Here’s How the Foreclosure Reviews Could Have Been Done Much Faster and Cheaper

Yves here. The OCC made the not-surprising confession in Senate hearings last week that if it had to do them all over again, it would have handled them differently.

On the assumption that the OCC is sincere in its repentance, Michael Olenick offers one way to have executed the reviews at vastly lower cost than the botched process that resulted.

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Supply Chain Problems Hitting Hospitals Near You

I’ve taken off and on to writing about devolution, which is when the application of new technology winds up not producing net gains, but at best, questionable tradeoffs, and at worst, net negatives. The stealthy “technology” that has been applied across large businesses around the world is the relentless pursuit of efficiency, which too often takes the form of simple-minded cost cutting.

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More on Devolution and the Walmartization of Our Economy

A couple of months ago, I wrote about devolution:

It’s become fashionable to discuss the creeping decay in advanced economies, particularly the US, both in term of third worldification and end of empire. The more apocalyptic turn to theories of collapse from writers like Jared Diamond and Jacques Tainter. But I think they miss one aspect that may prove to be important, that of how the pursuit of efficiency doesn’t always produce net gains, as economic theory might tell us.

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Philip Pilkington: Mistaking Men for Machines – How Neoclassical Economics Relies on Computer Science to Misunderstand Human Communication

By Philip Pilkington, a writer and research assistant at Kingston University in London. You can follow him on Twitter @pilkingtonphil

We have a lot to be thankful for today that we owe to Alan Turing – who is generally recognised as among the first, if not the first, computer scientist. But, on the other hand, we also have a lot that we can trace back to Turing that we should be in no way grateful for as it has filled our minds with stupidities and our universities with people talking nonsense. Without detracting from Turing’s undoubtedly important achievements we here focus on the latter and how some of Turing’s ideas came to infect the human sciences in general and economics in particular.

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