control over Google
products
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Google Apps Script - introduction - 0 views
code.google.com/...guide.html
google script apps Programming javascript tool tools infrastructure development
shared by Tiberius Brastaviceanu on 03 May 11
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guide contains the information you need to use Google Apps Script, a server-side scripting language, based on JavaScript, that runs on Google's servers alongside Google Apps
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A script is a series of instructions you write in a computer language to accomplish a particular task. You type in the instructions and save them as a script. The script runs only under circumstances you define.
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The Google Apps Script API provides a set of objects. You can use these objects and their associates methods to access Google Docs and Spreadsheets, Gmail, Google Finance, and other Google applications.
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To run a script, you must first add the script to a Google Spreadsheet or Google Site using the Script Editor.
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You can retrieve information from a wide selection of Google Apps and Services and from external sources, including web pages and XML sources. You can use Google Apps Script to create email, spreadsheets, pages on Google Sites, and files in the Google Docs Document List.
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Philippe's project - SENSORICA - 2 views
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Constriction transducer (SENSORICA) - 0 views
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Digital Reality | Edge.org - 0 views
edge.org/...il_gershenfeld-digital-reality
*neilgershenfeld fab labs IoT molecular computing nano star trek replicator
shared by Kurt Laitner on 17 Feb 15
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When you snap the bricks together, you don't need a ruler to play Lego; the geometry comes from the parts
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In a 3D printer today, what you can make is limited by the size of the machine. The geometry is external
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is the Lego tower is more accurate than the child because the constraint of assembling the bricks lets you detect and correct errors
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detect and correct state to correct errors to get an exponential reduction in error, which gives you an exponential increase in complexity
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The last one is when you're done with Lego you don't put it in the trash; you take it apart and reuse it because there's state in the materials. In a forest there's no trash; you die and your parts get disassembled and you're made into new stuff. When you make a 3D print or laser cut, when you're done there's recycling attempts but there's no real notion of reusing the parts
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The metrology coming from the parts, detecting and correcting errors, joining dissimilar materials, disconnecting, reusing the components
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On the very smallest scale, the most exciting work on digital fabrication is the creation of life from scratch. The cell does everything we're talking about. We've had a great collaboration with the Venter Institute on microfluidic machinery to load designer genomes into cells. One step up from that we're developing tabletop chip fab instead of a billion dollar fab, using discrete assembly of blocks of electronic materials to build things like integrated circuits in a tabletop process
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There's a series of books by David Gingery on how to make a machine shop starting with charcoal and iron ore.
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There are twenty amino acids. With those twenty amino acids you make the motors in the molecular muscles in my arm, you make the light sensors in my eye, you make my neural synapses. The way that works is the twenty amino acids don't encode light sensors, or motors. They’re very basic properties like hydrophobic or hydrophilic. With those twenty properties you can make you. In the same sense, digitizing fabrication in the deep sense means that with about twenty building blocks—conducting, insulating, semiconducting, magnetic, dielectric—you can assemble them to create modern technology
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By discretizing those three parts we can make all those 500,000 resistors, and with a few more parts everything else.
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Now, there's a casual sense, which means a computer controls something to make something, and then there's the deep sense, which is coding the materials. Intellectually, that difference is everything but now I'm going to explain why it doesn't matter.
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Then in turn, the next surprise was they weren't there for research, they weren't there for theses, they wanted to make stuff. I taught additive, subtractive, 2D, 3D, form, function, circuits, programming, all of these skills, not to do the research but just using the existing machines today
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What they were answering was the killer app for digital fabrication is personal fabrication, meaning, not making what you can buy at Walmart, it’s making what you can't buy in Walmart, making things for a market of one person
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the Altair was life changing for people like me. It was the first computer you could own as an individual. But it was almost useless
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It was hard to use but it brought the cost from a million dollars to 100,000 and the size from a warehouse down to a room. What that meant is a workgroup could have one. When a workgroup can have one it meant Ken Thompson and Dennis Ritchie at Bell Labs could invent UNIX—which all modern operating systems descend from—because they didn't have to get permission from a whole corporation to do it
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At the PC stage what happened is graphics, storage, processing, IO, all of the subsystems got put in a box
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To line that up with fabrication, MIT's 1952 NC Mill is similar to the million-dollar machines in my lab today. These are the mainframes of fab. You need a big organization to have them. The fab labs I'll tell you about are exactly analogous to the cost and complexity of minicomputers. The machines that make machines I'll tell you about are exactly analogous to the cost and complexity of the hobbyist computers. The research we're doing, which is leading up to the Star Trek Replicator, is what leads to the personal fabricator, which is the integrated unit that makes everything
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The fab lab is 2 tons, a $100,000 investment. It fills a few thousand square feet, 3D scanning and printing, precision machining, you can make circuit boards, molding and casting tooling, computer controlled cutting with a knife, with a laser, large format machining, composite layup, surface mount rework, sensors, actuators, embedded programming— technology to make technology.
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Ten years you can just plot this doubling. Today, you can send a design to a fab lab and you need ten different machines to turn the data into something. Twenty years from now, all of that will be in one machine that fits in your pocket.
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We've been living with this notion that making stuff is an illiberal art for commercial gain and it's not part of the means of expression. But, in fact, today, 3D printing, micromachining, and microcontroller programming are as expressive as painting paintings or writing sonnets but they're not means of expression from the Renaissance. We can finally fix that boundary between art and artisans
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Over the next maybe five years we'll be transitioning from buying machines to using machines to make machines. Self-reproducing machines
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But they still have consumables like the motors, and they still cut or squirt. Then the interesting transition comes when we go from cutting or printing to assembling and disassembling, to moving to discretely assembled materials
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because if anybody can make anything anywhere, it challenges everything
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Now, the biggest surprise for me in this is I thought the research was hard. It's leading to how to make the Star Trek Replicator. The insight now is that's an exercise in embodied computation—computation in materials, programming their construction. Lots of work to come, but we know what to do
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And that's when you do tabletop chip fab or make airplanes. That's when technical trash goes away because you can disassemble.
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At something like a Maker Faire, there's hall after hall of repeated reinventions of bad 3D printers and there isn't an easy process to take people from easy to hard
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We started a project out of desperation because we kept failing to succeed in working with existing schools, called the Fab Academy. Now, to understand how that works, MIT is based on scarcity. You assume books are scarce, so you have to go there for the library; you assume tools are scarce, so you have to go there for the machines; you assume people are scarce, so you have to go there to see them; and geography is scarce. It adds up to we can fit a few thousand people at a time. For those few thousand people it works really well. But the planet is a few billion people. We're off by six orders of magnitude.
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Next year we're starting a new class with George Church that we've called "How to Grow Almost Anything", which is using fab labs to make bio labs and then teach biotech in it. What we're doing is we're making a new global kind of university
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Amusingly, I went to my friends at Educause about accrediting the Fab Academy and they said, "We love it. Where are you located?" And I said, "Yes" and they said, "No." Meaning, "We're all over the earth." And they said, "We have no mechanism. We're not allowed to do that. There's no notion of global accreditation."
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The way the Fab Academy works, in computing terms, it's like the Internet. Students have peers in workgroups, with mentors, surrounded by machines in labs locally. Then we connect them globally by video and content sharing and all of that. It's an educational network. There are these critical masses of groups locally and then we connect them globally
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You still have Microsoft or IBM now but, with all respect to colleagues there, arguably that's the least interesting part of software
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To understand the economic and social implications, look at software and look at music to understand what's happening now for fabrication
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There's a core set of skills a place like MIT can do but it alone doesn't scale to a billion people. This is taking the social engineering—the character of MIT—but now doing it on this global scale.
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Mainframes didn't go away but what opened up is all these tiers of software development that weren't economically viable
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If you look at music development, the most interesting stuff in music isn't the big labels, it's all the tiers of music that weren't viable before
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You can make music for yourself, for one, ten, 100, 1,000, a million. If you look at the tracks on your device, music is now in tiers that weren't economically viable before. In that example it's a string of data and it becomes a sound. Now in digital fab, it's a string of data and it becomes a thing.
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What is work? For the average person—not the people who write for Edge, but just an average person working—you leave home to go to a place you'd rather not be, doing a repetitive operation you'd rather not do, making something designed by somebody you don't know for somebody you'll never see, to get money to then go home and buy something. But what if you could skip that and just make the thing?
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It took about ten years for the dot com industry to realize pretty much across the board you don't directly sell the thing. You sell the benefits of the thing
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2016 it's in Shenzhen because they're pivoting from mass manufacturing to enabling personal fabrication. We've set Shenzhen as the goal in 2016 for Fab Lab 2.0, which is fab labs making fab labs
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To rewind now, you can send something to Shenzhen and mass manufacture it. There's a more interesting thing you can do, which is you go to market by shipping data and you produce it on demand locally, and so you produce it all around the world.
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But their point was a lot of printers producing beautiful pages slowly scales if all the pages are different
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In the same sense it scales to fabricate globally by doing it locally, not by shipping the products but shipping the data.
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It doesn't replace mass manufacturing but mass manufacturing becomes the least interesting stuff where everybody needs the same thing. Instead, what you open up is all these tiers that weren't viable before
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There, they consider IKEA the enemy because IKEA defines your taste. Far away they make furniture and flat pack it and send it to a big box store. Great design sense in Barcelona, but 50 percent youth unemployment. A whole generation can't work. Limited jobs. But ships come in from the harbor, you buy stuff in a big box store. And then after a while, trucks go off to a trash dump. They describe it as products in, trash out. Ships come in with products, trash goes out
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instead of working to get money to buy products made somewhere else, you can make them locally
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The biggest tool is a ShotBot 4'x8'x1' NC mill, and you can make beautiful furniture with it. That's what furniture shops use
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it means you can make many of the things you consume directly rather than this very odd remote economic loop
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the most interesting part of the DIY phone projects is if you're making a do-it-yourself phone, you can also start to make the things that the phones talk to. You can start to build your own telco providers where the users provide the network rather than spending lots of money on AT&T or whoever
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Traditional manufacturing is exactly replaying the script of the computer companies saying, "That's a toy," and it's shining a light to say this creates entirely new economic activity. The new jobs don't come back to the old factories. The ability to make stuff on demand is creating entirely new jobs
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To keep playing that forward, when I was in Barcelona for the meeting of all these labs hosted by the city architect and the city, the mayor, Xavier Trias, pushed a button that started a forty-year countdown to self-sufficiency. Not protectionism
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I need high-torque efficient motors with integrated lead screws at low cost, custom-produced on demand. All sorts of the building blocks that let us do what I'm doing currently rest on a global supply chain including China's manufacturing agility
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The short-term answer is you can't get rid of them because we need them in the supply chain. But the long-term answer is Shenzhen sees the future isn't mass producing for everybody. That's a transitional stage to producing locally
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The real thing ultimately that's driving the fab labs ... the vacuum we filled is a technical one. The means to make stuff. Nobody was providing that. But in turn, the spaces become magnets. Everybody talks about innovation or knowledge economy, but then most things that label that strangle it. The labs become vehicles for bright inventive people who don't fit locally. You can think about the culture of MIT but on this global scale
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My allegiance isn't to any one border, it's to the brainpower of the planet and this is building the infrastructure to scale to that brainpower
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If you zoom from transistors to microcode to object code to a program, they don't look like each other. But if we take this room and go from city, state, country, it's hierarchical but you preserve geometry
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The reason that's so important for the digital fabrication piece is once we build molecular assemblers to build arbitrary systems, you don't want to then paste a few lines of code in it. You need to overlay computation with geometry. It's leading to this complete do-over of computer science
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If you take digital fab, plus the real sense of Internet of Things—not the garbled sense—plus the real future of computing aligning hardware and software, it all adds up to this ability to program reality
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I run a giant video infrastructure and I have collaborators all over the world that I see more than many of my colleagues at MIT because we're all too busy on campus. The next Silicon Valley is a network, it's not a place. Invention happens in these networks.
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When Edwin Land was kicked out of Polaroid, he made the Rowland Institute, which was making an ideal research institute with the best facilities and the best people and they could do whatever they want. But almost nothing came from it because there was no turnover of the gene pool, there was no evolutionary pressure.
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the wrong way to do research, which is to believe there's a privileged set of people that know more than anybody else and to create a barrier that inhibits communication from the inside to the outside
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you need evolutionary pressure, you need traffic, you need to be forced to deal with people you don't think you need to encounter, and you need to recognize that to be disruptive it helps to know what people know
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For me the hardest thing isn't the research. That's humming along nicely. It's that we're finding we have to build a completely new kind of social order and that social entrepreneurship—figuring out how you live, learn, work, play—is hard and there's a very small set of people who can do that kind of organizational creation.
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Operating system - PREMIUM COLLECTIVE - 4 views
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See wiki for their model here https://premium-betriebssystem.de/index.php/Premium_OS
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Unfortunately this organization seems to be dead or sleeping. Twitter activity stopped in 2001, Facebook page is not loading and the Wiki front page has been last updated in 2017 I PROPOSE TO DELETE THE "IoPA" TAG = taking this out of the IoPA collection but keeping it on Diigo for other purposes.
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Page not found - Planetmint Documentation - 2 views
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Welcome to the new reputation economy (Wired UK) - 1 views
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banks take into account your online reputation alongside traditional credit ratings to determine your loan
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reputation data becomes the window into how we behave, what motivates us, how our peers view us and ultimately whether we can or can't be trusted.
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The difference today is our ability to capture data from across an array of digital services. With every trade we make, comment we leave, person we "friend", spammer we flag or badge we earn, we leave a trail of how well we can or can't be trusted.
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peer-to-peer marketplaces, where a high degree of trust is required between strangers; and where a traditional approach based on disjointed information sources is currently inefficient, such as recruiting.
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But this wealth of data raises an important question -- who owns our reputation? Shouldn't our hard-earned online status be portable? If you're a SuperHost on Airbnb, shouldn't you be able to use that reputation to, say, get a loan, or start selling on Etsy?
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"People are currently underusing their networks and reputation," King says. "I want to help people to understand and build their influence and reputation, and think of it as capital they can put to good use."
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"The implication of our study is that different types of reward are coded by the same currency system." In other words, our brains neurologically compute personal reputation to be as valuable as money.
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Personal reputation has been a means of making socioeconomic decisions for thousands of years. The difference today is that network technologies are digitally enabling the trust we used to experience face-to-face -- meaning that interactions and exchanges are taking place between total strangers.
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Trust and reputation become acutely important in peer-to-peer marketplaces such as WhipCar and Airbnb, where members are taking a risk renting out their cars or their homes.
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When you are trading peer-to-peer, you can't count on traditional credit scores. A different measurement is needed. Reputation fills this gap because it's the ultimate output of how much a community trusts you.
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Welcome to the reputation economy, where your online history becomes more powerful than your credit history.
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A wave of startups, including Connect.Me, TrustCloud, TrustRank, Legit and WhyTrusted, are trying to solve this problem by designing systems that correlate reputation data. By building a system based on "reputation API" -- a combination of a user's activity, ratings and reviews across sites -- Legit is working to build a service that gives users a score from zero to 100. In trying to create a universal metric for a person's trustworthiness, they are trying to "become the credit system of the sharing economy", says Jeremy Barton, the 27-year-old San Francisco-based cofounder of Legit.
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His company, and other reputation ventures, face some big challenges if they are to become, effectively, the PayPal of trust. The most obvious is coming up with algorithms that can't be easily gamed or polluted by trolls. And then there's the critical hurdle of convincing online marketplaces not just to open up their reputation vaults, but create a standardised format for how they frame and collect reputation data. "We think companies will share reputation data for the same reasons banks give credit data to credit bureaux," says Rob Boyle, Legit cofounder and CTO. "It is beneficial for one company to give up their slice of reputation data if in return they get access to the bigger picture: aggregated data from other companies."
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are measuring social influence, not reputation. "Influence measures your ability to drag someone into action,"
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"Reputation is an indicator of whether a person is good or bad and, ultimately, are they trustworthy?"
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Early influence and reputation aggregators will undoubtedly learn by trial and error -- but they will also face the significant challenge of pioneering the use of reputation data in a responsible way. And there's a challenge beyond that: reputation is largely contextual, so it's tricky to transport it to other situations.
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Many of the ventures starting to make strides in the reputation economy are measuring different dimensions of reputation.
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Reputation capital is not about combining a selection of different measures into a single number -- people are too nuanced and complex to be distilled into single digits or binary ratings.
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It's the culmination of many layers of reputation you build in different places that genuinely reflect who you are as a person and figuring out exactly how that carries value in a variety of contexts.
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we will be able to perform a Google- or Facebook-like search and see a picture of a person's behaviour in many different contexts, over a length of time. Slivers of data that have until now lived in secluded isolation online will be available in one place. Answers on Quora, reviews on TripAdvisor, comments on Amazon, feedback on Airbnb, videos posted on YouTube, social groups joined, or presentations on SlideShare; as well as a history and real-time stream of who has trusted you, when, where and why. The whole package will come together in your personal reputation dashboard, painting a comprehensive, definitive picture of your intentions, capabilities and values.
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By the end of the decade, a good online reputation could be the most valuable currency in your possession.
Boom Mount Stereo Microscopes > Super Widefield Stereo on Boom Stand (page 1) - 2 views
Models - Citizen Sensing - 0 views
Novena Main Page - Studio Kousagi Wiki - 1 views
Optics - SENSORICA - 0 views
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Comparative study technology incubators in Quebec and abroad - 6. Evaluation ... - 0 views
*Home Page | Common Good Finance - 1 views
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Displacement | Microstrain - 0 views
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MicroStrain offers a range of miniature displacement sensors. These include contact sensors, non-contact sensors, and signal conditioners. Within our contact sensors, we offer gauging, non-gauging, sub-miniature (very small) and micro-miniature (smallest available on the market) displacement sensor designs. MicroStrain displacement/position sensors are known as DVRTs (Differential Variable Reluctance Transducers) which are half-bridge LVDTs (Linear Variable Differential Transformers). Our DVRTs deliver a very high linear stroke range to body length ratio, and can be used in environments where traditional LVDTs are too large. MicroStrain’s miniature displacement transducers are extremely robust, capable of operating at temperatures up to 175°C in corrosive media such as saline, oil, and brake fluid. The near frictionless design enables sensors to operate over millions of cycles without wear or degradation in signal quality.
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croStrain offers a range of miniature displacement sensors. These include contact sensors, non-contact sensors, and signal conditioners. Within our contact sensors, we offer gauging, non-gauging, sub-miniature (very small) and micro-miniature (smallest available on the market) displacement sensor designs. MicroStrain displacement/position sensors are known as DVRTs (Differential Variable Reluctance Transducers) which are half-bridge LVDTs (Linear Variable Differential Transformers). Our DVRTs deliver a very high linear stroke range to body length ratio, and can be used in environments where traditional LVDTs are too large. MicroStrain’s miniature displacement transducers are extremely robust, capable of operating at temperatures up to 175°C in corrosive media such as saline, oil, and brake fluid. The near frictionless design enables sensors to operate over millions of cycles without wear or degradation in signal quality. MicroStrain’s displacement sensing products including transducers, signal conditioners, and motherboards. These systems provide highly precise measurement solutions. MicroStrain’s contact displacement transducers deliver highly precise linear measurements with an extremely small, miniature design. Both gauging and non-gauging displacement transducers are available. Our non-contact displacement transducers are designed to measure the displacement and proximity of a metal target without physical contact. MicroStrain offers wireless, analog, and digital output DVRT signal conditioners. Signal conditioners are required for use with MicroStrain DVRT displacement sensors. .familyNav1, .familyNav2, .familyNav3, .familyNav4 { background: none repeat scroll 0 0 #CCCCCC; color: #FFFFFF; display: block; font-size: 14px; margin: 1px 0; padding: 6px 0 3px 6px; text-decoration: none; } .familyNav1:hover, .familyNav2:hover, .familyNav3:hover, .familyNav4:hover { opacity:1.0; filter:alpha(opacity=100); } .familyNav1:hover, .familyNav1.live { background:#0468AD; } .familyNav2:hover, .familyNav2.live{ background:#32641E; } .familyNav3:hover, .familyNav3.live{ background:#B55A11; } .familyNav4:hover, .familyNav4.live{ background:#76285D; } .familySub { margin: -1px 0 0; opacity:0.7; filter:alpha(opacity=80); font-size:12px; } .familySub img { width: 22px; } WIRELESS SENSOR NETWORKS