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I suppose a good sign the Economist is writing about this even if the whole article is yet again taking the angle of 'how odd, freaky, geeky but interesting things these people are doing'. Obviously, that's considered de rigueur with such topics these days. That said, the health angle is well justified, though until self-quantifying demand side is trying to get the supply side (i.e. healthcare industry) to work with them, it's not going to get very far. Ditto for not focusing on more sophisticated data analysis and visualisation.
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They are an eclectic mix of early adopters, fitness freaks, technology evangelists, personal-development junkies, hackers and patients suffering from a wide variety of health problems. What they share is a belief that gathering and analysing data about their everyday activities can help them improve their lives—an approach known as “self-tracking”, “body hacking” or “self-quantifying”.
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But new technologies make it simpler than ever to gather and analyse personal data. Sensors have shrunk and become cheaper. Accelerometers, which measure changes in direction and speed, used to cost hundreds of pounds but are now cheap and small enough to be routinely included in smartphones. This makes it much easier to take the quantitative methods used in science and business and apply them to the personal sphere.
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worth watching
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The company is vying to be the first to create a device that can scan a patient's body and return a medical diagnosis. The device, known in medical design lore as the "tricorder," is one of the elusive holy grails of health engineering.
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While numbers for the forward thinking market are hard to pin, the medical imaging market is worth almost $6 billion, according to analysts Frost & Sullivan.
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As an (Human) Intelligence Technology, Prof. Levy places the invention of the computer in a long lineage of other such technologies, starting with hieroglyphs, then the alphabet, much later the movable type. For Prof Levy, while computer theory will likely not change very much – computers will only get much more powerful – there is however a huge theoretical work to be done on the next evolution of Intelligence Technologies that they will finally enable.
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The IEML dictionary (or, I should say, IEML dictionaries, because you can theoretically have many of them), is a network of interrelated concepts where every node or word or sentence receives its meaning from the nodes it is related to. Now, and here is where things get interesting, all these relationships are mathematically computable. What it means is that IEML makes it possible to make computations on meaning.
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well, more important than collectivist 'Grand Works' is the focus on the individual and empowerment of individuals.
Last paragraph sums up the pressures on our data: "As it has with Facebook, selling personal data is certain to raise privacy concerns. Healthrageous's Lee says his company plans to market the insights it gleans from its data, rather than the raw data itself. PatientsLikeMe, however, explicitly tells users that any information they share—except identifying details, such as name and e-mail address—may be shared with pharmaceutical companies or other partners. Given that PatientsLikeMe has more than 100,000 members, users seem confident that the tools it offers, and the hope of medical advances generated from their data, are worth the loss of privacy."
some good quotes in there, especially the ones on design...
a must read
in list: Mine!
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A web action is the interface and user experience of taking a specific discrete action, across the web, from one site to another site or application. They're not a specific technology but use a variety of technologies.
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Web actions are not "just" hyperlinks. Hyperlinks are nouns and they reference destinations (sometimes with an explicit relation) with an implied action of navigation. In contrast, web actions are verbs and are first and foremost about a specific action that often but not always does something with the current page or site.
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