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Kurt Laitner

Digital Reality | Edge.org - 0 views

  • When you snap the bricks together, you don't need a ruler to play Lego; the geometry comes from the parts
  • first attribute is metrology that comes from the parts
  • digitizing composites into little linked loops of carbon fiber instead of making giant pieces
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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
  • is the Lego tower is more accurate than the child because the constraint of assembling the bricks lets you detect and correct errors
  • That's the exponential scaling for working reliably with unreliable parts
  • Because the parts have a discrete state, it means in joining them you can detect and correct errors
  • detect and correct state to correct errors to get an exponential reduction in error, which gives you an exponential increase in complexity
  • The next one is you can join Lego bricks made out of dissimilar materials.
  • 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
  • The metrology coming from the parts, detecting and correcting errors, joining dissimilar materials, disconnecting, reusing the components
  • 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
  • a child can make a Lego structure bigger than themself
  • There's a series of books by David Gingery on how to make a machine shop starting with charcoal and iron ore.
  • 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
  • By discretizing those three parts we can make all those 500,000 resistors, and with a few more parts everything else.
  • 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.
  • 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
  • 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
  • The minicomputer industry completely misread PCs
  • 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
  • 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
  • At the PC stage what happened is graphics, storage, processing, IO, all of the subsystems got put in a box
  • 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
  • conducting, resistive, insulating.
  • 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.
  • 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.
  • 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
  • You don't go to a fab lab to get access to the machine; you go to the fab lab to make the machine.
  • Over the next maybe five years we'll be transitioning from buying machines to using machines to make machines. Self-reproducing machines
  • 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
  • because if anybody can make anything anywhere, it challenges everything
    • Kurt Laitner
       
      great quote (replace challenges with changes for effect)
  • 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
  • And that's when you do tabletop chip fab or make airplanes. That's when technical trash goes away because you can disassemble. 
  • irritated by the maker movement for the failure in mentoring
  • 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
  • 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. 
  • 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
  • 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."
  • Then they said something really helpful: "Pretend."
  • Once you have a basic set of tools, you can make all the rest of the tools
  • 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
  • You still have Microsoft or IBM now but, with all respect to colleagues there, arguably that's the least interesting part of software
  • To understand the economic and social implications, look at software and look at music to understand what's happening now for fabrication
  • 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.
  • Mainframes didn't go away but what opened up is all these tiers of software development that weren't economically viable
  • 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
  • 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.
  • 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?
    • Kurt Laitner
       
      !!!
  • 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
  • 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
  • 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.
  • But their point was a lot of printers producing beautiful pages slowly scales if all the pages are different
  • In the same sense it scales to fabricate globally by doing it locally, not by shipping the products but shipping the data.
  • 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
  • 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
    • Kurt Laitner
       
      worse actually.. the trash stays
  • The bits come and go, globally connected for knowledge, but the atoms stay in the city.
  • instead of working to get money to buy products made somewhere else, you can make them locally
    • Kurt Laitner
       
      this may solve greece's problem, walk away from debt, you can't buy other people's (country's) stuff anymore, so make it all yourself
  • 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
  • Anything IKEA makes you can make in a fab lab
  • it means you can make many of the things you consume directly rather than this very odd remote economic loop
  • 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
  • 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
  • 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
  • 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
  • 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
  • My description of MIT's core competence is it's a safe place for strange people
  • 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
  • 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
  • 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
  • Computation violates geometry unlike most anything else we do
  • 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
  • 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
  • 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.
  • 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.  
  • 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
  • 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
  • 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.
    • Kurt Laitner
       
      our challenge in the OVN space
  •  
    what is heavy is local, what is light is global, and increasingly manufacturing is being recreated along this principle
Kurt Laitner

Inequality: Why egalitarian societies died out - opinion - 30 July 2012 - New Scientist - 0 views

  • FOR 5000 years, humans have grown accustomed to living in societies dominated by the privileged few. But it wasn't always this way. For tens of thousands of years, egalitarian hunter-gatherer societies were widespread. And as a large body of anthropological research shows, long before we organised ourselves into hierarchies of wealth, social status and power, these groups rigorously enforced norms that prevented any individual or group from acquiring more status, authority or resources than others.*
  • How, then, did we arrive in the age of institutionalised inequality? That has been debated for centuries. Philosopher Jean-Jacques Rousseau reasoned in 1754 that inequality was rooted in the introduction of private property. In the mid-19th century, Karl Marx and Friedrich Engels focused on capitalism and its relation to class struggle. By the late 19th century, social Darwinists claimed that a society split along class lines reflected the natural order of things - as British philosopher Herbert Spencer put it, "the survival of the fittest". (Even into the 1980s there were some anthropologists who held this to be true - arguing that dictators' success was purely Darwinian, providing estimates of the large numbers of offspring sired by the rulers of various despotic societies as support.)
  • But by the mid-20th century a new theory began to dominate. Anthropologists including Julian Steward, Leslie White and Robert Carneiro offered slightly different versions of the following story: population growth meant we needed more food, so we turned to agriculture, which led to surplus and the need for managers and specialised roles, which in turn led to corresponding social classes.
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  • One line of reasoning suggests that self-aggrandising individuals who lived in lands of plenty ascended the social ranks by exploiting their surplus - first through feasts or gift-giving, and later by outright dominance
  • At the group level, argue anthropologists Peter Richerson and Robert Boyd, improved coordination and division of labour allowed more complex societies to outcompete the simpler, more equal societies
  • From a mechanistic perspective, others argued that once inequality took hold - as when uneven resource-distribution benefited one family more than others - it simply became ever more entrenched. The advent of agriculture and trade resulted in private property, inheritance, and larger trade networks, which perpetuated and compounded economic advantages.
  • Many theories about the spread of stratified society begin with the idea that inequality is somehow a beneficial cultural trait that imparts efficiencies, motivates innovation and increases the likelihood of survival. But what if the opposite were true?
  • In a demographic simulation that Omkar Deshpande, Marcus Feldman and I conducted at Stanford University, California, we found that, rather than imparting advantages to the group, unequal access to resources is inherently destabilising and greatly raises the chance of group extinction in stable environments.
  • Counterintuitively, the fact that inequality was so destabilising caused these societies to spread by creating an incentive to migrate in search of further resources. The rules in our simulation did not allow for migration to already-occupied locations, but it was clear that this would have happened in the real world, leading to conquests of the more stable egalitarian societies - exactly what we see as we look back in history.
  • In other words, inequality did not spread from group to group because it is an inherently better system for survival, but because it creates demographic instability, which drives migration and conflict and leads to the cultural - or physical - extinction of egalitarian societies.
  • Egalitarian societies may have fostered selection on a group level for cooperation, altruism and low fertility (which leads to a more stable population), while inequality might exacerbate selection on an individual level for high fertility, competition, aggression, social climbing and other selfish traits.
Tiberius Brastaviceanu

Is Shame Necessary? | Conversation | Edge - 0 views

  • What is shame's purpose? Is shame still necessary?
  • Shame is what is supposed to occur after an individual fails to cooperate with the group.
  • Whereas guilt is evoked by an individual's standards, shame is the result of group standards. Therefore, shame, unlike guilt, is felt only in the context of other people.
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  • Many animals use visual observations to decide whether to work with others.
  • humans are more cooperative when they sense they're being watched.
  • The feeling of being watched enhances cooperation, and so does the ability to watch others. To try to know what others are doing is a fundamental part of being human
  • Shame serves as a warning to adhere to group standards or be prepared for peer punishment. Many individualistic societies, however, have migrated away from peer punishment toward a third-party penal system
  • Shame has become less relevant in societies where taking the law into one's own hands is viewed as a breach of civility.
  • Many problems, like most concerning the environment, are group problems. Perhaps to solve these problems we need a group emotion. Maybe we need shame.
  • Guilt prevails in many social dilemmas
  • It is perhaps unsurprising that a set of tools has emerged to assuage this guilt
  • Guilt abounds in many situations where conservation is an issue.
  • The problem is that environmental guilt, though it may well lead to conspicuous ecoproducts, does not seem to elicit conspicuous results.
  • The positive effect of idealistic consumers does exist, but it is masked by the rising demand and numbers of other consumers.
  • Guilt is a valuable emotion, but it is felt by individuals and therefore motivates only individuals. Another drawback is that guilt is triggered by an existing value within an individual. If the value does not exist, there is no guilt and hence no action
  • Getting rid of shaming seems like a pretty good thing, especially in regulating individual behavior that does no harm to others. In eschewing public shaming, society has begun to rely more heavily on individual feelings of guilt to enhance cooperation.
  • five thousand years ago, there arose another tool: writing
  • Judges in various states issue shaming punishments,
  • shaming by the state conflicts with the law's obligation to protect citizens from insults to their dignity.
  • What if government is not involved in the shaming?
  • Is this a fair use of shaming? Is it effective?
  • Shaming might work to change behavior in these cases, but in a world of urgent, large-scale problems, changing individual behavior is insignificant
  • vertical agitation
  • Guilt cannot work at the institutional level, since it is evoked by individual scruples, which vary widely
  • But shame is not evoked by scruples alone; since it's a public sentiment, it also affects reputation, which is important to an institution.
  • corporate brand reputation outranked financial performance as the most important measure of success
  • shame and reputation interact
  • in our early evolution we could gauge cooperation only firsthand
  • Shaming, as noted, is unwelcome in regulating personal conduct that doesn't harm others. But what about shaming conduct that does harm others?
  • why we learned to speak.1
  • Language
  • The need to accommodate the increasing number of social connections and monitor one another could be
  • allowed for gossip, a vector of social information.
  • in cooperation games that allowed players to gossip about one another's performance, positive gossip resulted in higher cooperation.
  • Of even greater interest, gossip affected the players' perceptions of others even when they had access to firsthand information.
  • Human society today is so big that its dimensions have outgrown our brains.
  • What tool could help us gossip in a group this size?
  • We can use computers to simulate some of the intimacy of tribal life, but we need humans to evoke the shame that leads to cooperation. The emergence of new tools— language, writing, the Internet—cannot completely replace the eyes. Face-to-face interactions, such as those outside Trader Joe's stores, are still the most impressive form of dissent.
  • what is stopping shame from catalyzing social change? I see three main drawbacks:
  • Today's world is rife with ephemeral, or "one-off," interactions.
  • Research shows, however, that if people know they will interact again, cooperation improves
  • Shame works better if the potential for future interaction is high
  • In a world of one-off interactions, we can try to compensate for anonymity with an image score,
  • which sends a signal to the group about an individual's or institution's degree of cooperation.
  • Today's world allows for amorphous identities
  • It's hard to keep track of who cooperates and who doesn't, especially if it's institutions you're monitoring
  • Shaming's biggest drawback is its insufficiency.
  • Some people have no shame
  • shame does not always encourage cooperation from players who are least cooperative
  • a certain fraction of a given population will always behave shamelessly
  • if the payoff is high enough
  • There was even speculation that publishing individual bankers' bonuses would lead to banker jealousy, not shame
  • shame is not enough to catalyze major social change
  • This is why punishment remains imperative.
  • Even if shaming were enough to bring the behavior of most people into line, governments need a system of punishment to protect the group from the least cooperative players.
  • Today we are faced with the additional challenge of balancing human interests and the interests of nonhuman life.
  •  
    The role of non-rational mechanisms in convergence - social emotions like shame and guilt 
kozak30k

RobotShop Accelerator for Inventors & Developers - The World's Leading Source for Domes... - 0 views

  • As the inventor, you collect royalties on all sales and can focus on enjoying life and inventing new things. RobotShop is here for you and expedites what used to take years and thousands of dollars to make happen.
  •  
    For inventors.
Steve Bosserman

Collaboration Leads to New Technology Center - ThePlus: Northeast Ohio - 2 views

  •  
    Brad Masi is a good contact!
Francois Bergeron

AUTOMOTIVE FIBER: Plastic optical fiber builds on MOST success - Laser Focus World - 0 views

  • Bending the fiber in one direction leads to a better transmission whereas bending in the other direction leads to a lower transmission, compared to the straight position.
  • Plastic optical fiber can also be used for seat-occupancy recognition
  • One approach for seat-occupancy recognition is the Kinotex cavity sensor from Canpolar East (St. John’s, NF, Canada).
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  • Many consumers are probably aware of the use of tactile sensors that can stop a car window if an object is in the way. While many of these sensors are nonoptical, the evanescent field of an optical fiber can also be exploited in this application.
Tiberius Brastaviceanu

The Baffler - 0 views

  • This tendency to view questions of freedom primarily through the lens of economic competition, to focus on the producer and the entrepreneur at the expense of everyone else, shaped O’Reilly’s thinking about technology.
  • the O’Reilly brand essence is ultimately a story about the hacker as hero, the kid who is playing with technology because he loves it, but one day falls into a situation where he or she is called on to go forth and change the world,
  • His true hero is the hacker-cum-entrepreneur, someone who overcomes the insurmountable obstacles erected by giant corporations and lazy bureaucrats in order to fulfill the American Dream 2.0: start a company, disrupt an industry, coin a buzzword.
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  • gospel of individualism, small government, and market fundamentalism
  • innovation is the new selfishness
  • mastery of public relations
  • making it seem as if the language of economics was, in fact, the only reasonable way to talk about the subject
  • memes are for losers; the real money is in epistemes.
  • “Open source software” was also the first major rebranding exercise overseen by Team O’Reill
  • It’s easy to forget this today, but there was no such idea as open source software before 1998; the concept’s seeming contemporary coherence is the result of clever manipulation and marketing.
  • ideological cleavage between two groups
  • Richard Stallman
  • Free Software Foundation, preoccupied with ensuring that users had rights with respect to their computer programs. Those rights weren’t many—users should be able to run the program for any purpose, to study how it works, to redistribute copies of it, and to release their improved version (if there was one) to the public
  • “free software.”
  • association with “freedom” rather than “free beer”
  • copyleft
  • profound critique of the role that patent law had come to play in stifling innovation and creativity.
  • Plenty of developers contributed to “free software” projects for reasons that had nothing to do with politics. Some, like Linus Torvalds, the Finnish creator of the much-celebrated Linux operating system, did so for fun; some because they wanted to build more convenient software; some because they wanted to learn new and much-demanded skills.
  • Stallman’s rights-talk, however, risked alienating the corporate types
  • he was trying to launch a radical social movement, not a complacent business association
  • By early 1998 several business-minded members of the free software community were ready to split from Stallman, so they masterminded a coup, formed their own advocacy outlet—the Open Source Initiative—and brought in O’Reilly to help them rebrand.
  • “open source”
  • The label “open source” may have been new, but the ideas behind it had been in the air for some time.
  • In those early days, the messaging around open source occasionally bordered on propaganda
  • This budding movement prided itself on not wanting to talk about the ends it was pursuing; except for improving efficiency and decreasing costs, those were left very much undefined.
  • extremely decentralized manner, using Internet platforms, with little central coordination.
  • In contrast to free software, then, open source had no obvious moral component.
  • “open source is not particularly a moral or a legal issue. It’s an engineering issue. I advocate open source, because . . . it leads to better engineering results and better economic results
  • While free software was meant to force developers to lose sleep over ethical dilemmas, open source software was meant to end their insomnia.
  • Stallman the social reformer could wait for decades until his ethical argument for free software prevailed in the public debate
  • O’Reilly the savvy businessman had a much shorter timeline: a quick embrace of open source software by the business community guaranteed steady demand for O’Reilly books and events
  • The coup succeeded. Stallman’s project was marginalized. But O’Reilly and his acolytes didn’t win with better arguments; they won with better PR.
  • A decade after producing a singular vision of the Internet to justify his ideas about the supremacy of the open source paradigm, O’Reilly is close to pulling a similar trick on how we talk about government reform.
  • much of Stallman’s efforts centered on software licenses
  • O’Reilly’s bet wa
  • the “cloud”
  • licenses would cease to matter
  • Since no code changed hands
  • So what did matter about open source? Not “freedom”
  • O’Reilly cared for only one type of freedom: the freedom of developers to distribute software on whatever terms they fancied.
  • the freedom of the producer
  • who must be left to innovate, undisturbed by laws and ethics.
  • The most important freedom,
  • is that which protects “my choice as a creator to give, or not to give, the fruits of my work to you, as a ‘user’ of that work, and for you, as a user, to accept or reject the terms I place on that gift.”
  • O’Reilly opposed this agenda: “I completely support the right of Richard [Stallman] or any individual author to make his or her work available under the terms of the GPL; I balk when they say that others who do not do so are doing something wrong.”
  • The right thing to do, according to O’Reilly, was to leave developers alone.
  • According to this Randian interpretation of open source, the goal of regulation and public advocacy should be to ensure that absolutely nothing—no laws or petty moral considerations—stood in the way of the open source revolution
  • Any move to subject the fruits of developers’ labor to public regulation
  • must be opposed, since it would taint the reputation of open source as technologically and economically superior to proprietary software
  • the advent of the Internet made Stallman’s obsession with licenses obsolete
  • Many developers did stop thinking about licenses, and, having stopped thinking about licenses, they also stopped thinking about broader moral issues that would have remained central to the debates had “open source” not displaced “free software” as the paradigm du jour.
  • Profiting from the term’s ambiguity, O’Reilly and his collaborators likened the “openness” of open source software to the “openness” of the academic enterprise, markets, and free speech.
  • “open to intellectual exchange”
  • “open to competition”
  • “For me, ‘open source’ in the broader sense means any system in which open access to code lowers the barriers to entry into the market”).
  • “Open” allowed O’Reilly to build the largest possible tent for the movement.
  • The language of economics was less alienating than Stallman’s language of ethics; “openness” was the kind of multipurpose term that allowed one to look political while advancing an agenda that had very little to do with politics
  • highlight the competitive advantages of openness.
  • the availability of source code for universal examination soon became the one and only benchmark of openness
  • What the code did was of little importance—the market knows best!—as long as anyone could check it for bugs.
  • The new paradigm was presented as something that went beyond ideology and could attract corporate executives without losing its appeal to the hacker crowd.
  • What Raymond and O’Reilly failed to grasp, or decided to overlook, is that their effort to present open source as non-ideological was underpinned by a powerful ideology of its own—an ideology that worshiped innovation and efficiency at the expense of everything else.
  • What they had in common was disdain for Stallman’s moralizing—barely enough to justify their revolutionary agenda, especially among the hacker crowds who were traditionally suspicious of anyone eager to suck up to the big corporations that aspired to dominate the open source scene.
  • linking this new movement to both the history of the Internet and its future
  • As long as everyone believed that “open source” implied “the Internet” and that “the Internet” implied “open source,” it would be very hard to resist the new paradigm
  • Telling a coherent story about open source required finding some inner logic to the history of the Internet
  • “If you believe me that open source is about Internet-enabled collaboration, rather than just about a particular style of software license,”
  • everything on the Internet was connected to everything else—via open source.
  • The way O’Reilly saw it, many of the key developments of Internet culture were already driven by what he called “open source behavior,” even if such behavior was not codified in licenses.
  • No moralizing (let alone legislation) was needed; the Internet already lived and breathed open source
  • apps might be displacing the browser
  • the openness once taken for granted is no more
  • Openness as a happenstance of market conditions is a very different beast from openness as a guaranteed product of laws.
  • One of the key consequences of linking the Internet to the world of open source was to establish the primacy of the Internet as the new, reinvented desktop
  • This is where the now-forgotten language of “freedom” made a comeback, since it was important to ensure that O’Reilly’s heroic Randian hacker-entrepreneurs were allowed to roam freely.
  • Soon this “freedom to innovate” morphed into “Internet freedom,” so that what we are trying to preserve is the innovative potential of the platform, regardless of the effects on individual users.
  • Lumping everything under the label of “Internet freedom” did have some advantages for those genuinely interested in promoting rights such as freedom of expression
  • Forced to choose between preserving the freedom of the Internet or that of its users, we were supposed to choose the former—because “the Internet” stood for progress and enlightenment.
  • infoware
  • Yahoo
  • their value proposition lay in the information they delivered, not in the software function they executed.
  • The “infoware” buzzword didn’t catch on, so O’Reilly turned to the work of Douglas Engelbart
  • to argue that the Internet could help humanity augment its “collective intelligence” and that, once again, open source software was crucial to this endeavor.
  • Now it was all about Amazon learning from its customers and Google learning from the sites in its index.
  • The idea of the Internet as both a repository and incubator of “collective intelligence”
  • in 2004, O’Reilly and his business partner Dale Dougherty hit on the idea of “Web 2.0.” What did “2.0” mean, exactly?
  • he primary goal was to show that the 2001 market crash did not mean the end of the web and that it was time to put the crash behind us and start learning from those who survived.
  • Tactically, “Web 2.0” could also be much bigger than “open source”; it was the kind of sexy umbrella term that could allow O’Reilly to branch out from boring and highly technical subjects to pulse-quickening futurology
  • O’Reilly couldn’t improve on a concept as sexy as “collective intelligence,” so he kept it as the defining feature of this new phenomenon.
  • What set Web 2.0 apart from Web 1.0, O’Reilly claimed, was the simple fact that those firms that didn’t embrace it went bust
  • find a way to harness collective intelligence and make it part of their business model.
  • By 2007, O’Reilly readily admitted that “Web 2.0 was a pretty crappy name for what’s happening.”
  • O’Reilly eventually stuck a 2.0 label on anything that suited his business plan, running events with titles like “Gov 2.0” and “Where 2.0.” Today, as everyone buys into the 2.0 paradigm, O’Reilly is quietly dropping it
  • assumption that, thanks to the coming of Web 2.0, we are living through unique historical circumstances
  • Take O’Reilly’s musings on “Enterprise 2.0.” What is it, exactly? Well, it’s the same old enterprise—for all we know, it might be making widgets—but now it has learned something from Google and Amazon and found a way to harness “collective intelligence.”
  • tendency to redescribe reality in terms of Internet culture, regardless of how spurious and tenuous the connection might be, is a fine example of what I call “Internet-centrism.”
  • “Open source” gave us the “the Internet,” “the Internet” gave us “Web 2.0,” “Web 2.0” gave us “Enterprise 2.0”: in this version of history, Tim O’Reilly is more important than the European Union
  • For Postman, each human activity—religion, law, marriage, commerce—represents a distinct “semantic environment” with its own tone, purpose, and structure. Stupid talk is relatively harmless; it presents no threat to its semantic environment and doesn’t cross into other ones.
  • Since it mostly consists of falsehoods and opinions
  • it can be easily corrected with facts
  • to say that Tehran is the capital of Iraq is stupid talk
  • Crazy talk, in contrast, challenges a semantic environment, as it “establishes different purposes and assumptions from those we normally accept.” To argue, as some Nazis did, that the German soldiers ended up far more traumatized than their victims is crazy talk.
  • For Postman, one of the main tasks of language is to codify and preserve distinctions among different semantic environments.
  • As he put it, “When language becomes undifferentiated, human situations disintegrate: Science becomes indistinguishable from religion, which becomes indistinguishable from commerce, which becomes indistinguishable from law, and so on.
  • pollution
  • Some words—like “law”—are particularly susceptible to crazy talk, as they mean so many different things: from scientific “laws” to moral “laws” to “laws” of the market to administrative “laws,” the same word captures many different social relations. “Open,” “networks,” and “information” function much like “law” in our own Internet discourse today.
  • For Korzybski, the world has a relational structure that is always in flux; like Heraclitus, who argued that everything flows, Korzybski believed that an object A at time x1 is not the same object as object A at time x2
  • Our language could never properly account for the highly fluid and relational structure of our reality—or as he put it in his most famous aphorism, “the map is not the territory.”
  • Korzybski argued that we relate to our environments through the process of “abstracting,” whereby our neurological limitations always produce an incomplete and very selective summary of the world around us.
  • nothing harmful in this per se—Korzybski simply wanted to make people aware of the highly selective nature of abstracting and give us the tools to detect it in our everyday conversations.
  • Korzybski developed a number of mental tools meant to reveal all the abstracting around us
  • He also encouraged his followers to start using “etc.” at the end of their statements as a way of making them aware of their inherent inability to say everything about a given subject and to promote what he called the “consciousness of abstraction.”
  • There was way too much craziness and bad science in Korzybski’s theories
  • but his basic question
  • “What are the characteristics of language which lead people into making false evaluations of the world around them?”
  • Tim O’Reilly is, perhaps, the most high-profile follower of Korzybski’s theories today.
  • O’Reilly openly acknowledges his debt to Korzybski, listing Science and Sanity among his favorite books
  • It would be a mistake to think that O’Reilly’s linguistic interventions—from “open source” to “Web 2.0”—are random or spontaneous.
  • There is a philosophy to them: a philosophy of knowledge and language inspired by Korzybski. However, O’Reilly deploys Korzybski in much the same way that the advertising industry deploys the latest findings in neuroscience: the goal is not to increase awareness, but to manipulate.
  • O’Reilly, of course, sees his role differently, claiming that all he wants is to make us aware of what earlier commentators may have overlooked. “A metaphor is just that: a way of framing the issues such that people can see something they might otherwise miss,
  • But Korzybski’s point, if fully absorbed, is that a metaphor is primarily a way of framing issues such that we don’t see something we might otherwise see.
  • In public, O’Reilly modestly presents himself as someone who just happens to excel at detecting the “faint signals” of emerging trends. He does so by monitoring a group of überinnovators that he dubs the “alpha geeks.” “The ‘alpha geeks’ show us where technology wants to go. Smart companies follow and support their ingenuity rather than trying to suppress it,
  • His own function is that of an intermediary—someone who ensures that the alpha geeks are heard by the right executives: “The alpha geeks are often a few years ahead of their time. . . . What we do at O’Reilly is watch these folks, learn from them, and try to spread the word by writing down (
  • The name of his company’s blog—O’Reilly Radar—is meant to position him as an independent intellectual who is simply ahead of his peers in grasping the obvious.
  • “the skill of writing is to create a context in which other people can think”
  • As Web 2.0 becomes central to everything, O’Reilly—the world’s biggest exporter of crazy talk—is on a mission to provide the appropriate “context” to every field.
  • In a fascinating essay published in 2000, O’Reilly sheds some light on his modus operandi.
  • The thinker who emerges there is very much at odds with the spirit of objectivity that O’Reilly seeks to cultivate in public
  • meme-engineering lets us organize and shape ideas so that they can be transmitted more effectively, and have the desired effect once they are transmitted
  • O’Reilly meme-engineers a nice euphemism—“meme-engineering”—to describe what has previously been known as “propaganda.”
  • how one can meme-engineer a new meaning for “peer-to-peer” technologies—traditionally associated with piracy—and make them appear friendly and not at all threatening to the entertainment industry.
  • O’Reilly and his acolytes “changed the canonical list of projects that we wanted to hold up as exemplars of the movement,” while also articulating what broader goals the projects on the new list served. He then proceeds to rehash the already familiar narrative: O’Reilly put the Internet at the center of everything, linking some “free software” projects like Apache or Perl to successful Internet start-ups and services. As a result, the movement’s goal was no longer to produce a completely free, independent, and fully functional operating system but to worship at the altar of the Internet gods.
  • Could it be that O’Reilly is right in claiming that “open source” has a history that predates 1998?
  • Seen through the prism of meme-engineering, O’Reilly’s activities look far more sinister.
  • His “correspondents” at O’Reilly Radar don’t work beats; they work memes and epistemes, constantly reframing important public issues in accordance with the templates prophesied by O’Reilly.
  • Or take O’Reilly’s meme-engineering efforts around cyberwarfare.
  • Now, who stands to benefit from “cyberwarfare” being defined more broadly? Could it be those who, like O’Reilly, can’t currently grab a share of the giant pie that is cybersecurity funding?
  • Frank Luntz lists ten rules of effective communication: simplicity, brevity, credibility, consistency, novelty, sound, aspiration, visualization, questioning, and context.
  • Thus, O’Reilly’s meme-engineering efforts usually result in “meme maps,” where the meme to be defined—whether it’s “open source” or “Web 2.0”—is put at the center, while other blob-like terms are drawn as connected to it.
  • The exact nature of these connections is rarely explained in full, but this is all for the better, as the reader might eventually interpret connections with their own agendas in mind. This is why the name of the meme must be as inclusive as possible: you never know who your eventual allies might be. “A big part of meme engineering is giving a name that creates a big tent that a lot of people want to be under, a train that takes a lot of people where they want to go,”
  • News April 4 mail date March 29, 2013 Baffler party March 6, 2013 Žižek on seduction February 13, 2013 More Recent Press I’ve Seen the Worst Memes of My Generation Destroyed by Madness io9, April 02, 2013 The Baffler’s New Colors Imprint, March 21, 2013
  • There is considerable continuity across O’Reilly’s memes—over time, they tend to morph into one another.
sebastianklemm

FAO - Food and Agriculture Organization of the United Nations - 0 views

  •  
    The Food and Agriculture Organization (FAO) is a specialized agency of the United Nations that leads international efforts to defeat hunger. Our goal is to achieve food security for all and make sure that people have regular access to enough high-quality food to lead active, healthy lives. With over 194 member states, FAO works in over 130 countries worldwide. We believe that everyone can play a part in ending hunger. Join us in creating a #ZeroHunger world.
Tiberius Brastaviceanu

P2P Foundation » Blog Archive » Ethical Marketing in Age of Horizontal Social... - 0 views

  • the development of marketing is sensible to its environment and is hence already self-limiting itself according to the previously mentioned legal and social framework
  • neuromarketing
  • explore new inner dynamics of marketing, new directions in the field of possibilities offered by the current organology and its articulations between techniques and social organization in order to influence and shape marketing as an associative force – in opposition to its current dissociative force – in the larger psychic, social and technic organology
  • ...70 more annotations...
  • find new ways of efficiency
  • arbitration between efficiency and care
  • a global thinking of the problem
  • Fighting the attention and desire resource shortage: stoping to use advertisement?
  • The question is rather here to think the moderation of the psychopower
  • empower transindividuation, i.e. to make sure that an economic activity creates more possibilities of individuation than it tend to destroy by attempting to capture attention and canalize motivation in a funnel. Empower transindividuation would imply to empowering actors of their own lifestyle, winning back the savoir-vivre prescribing production
  • Should marketing stop using psychopower?
  • marketing ethics guidelines
  • transactions are more likely to be morally defensible if both parties enter it freely and fully informed
  • the goal of marketing should be to increase the likelihood and frequency of free and informed transactions in the marketplace
  • putting freedom as a criteria of morality
  • the industrial use of pycho- and neuropower tend to fall under the category of barriers to freedom
  • neurotechniques – to capture the attention
  • psychotechniques – to attempt to create motivation
  • Most people think commercials are a small price to pay for these benefits
  • advertising
  • denying the schemes of addiction and the fact that we are becoming through the objects of attentions
  • right to avoid attention capture by advertising
  • progress made in cognitive sciences proving that
  • reward system being abnormally stimulated
  • Advertisements exploit
  • vulnerability and reinforce their overconsumption behaviors
  • “if food advertising on TV were banned, significant reductions in the prevalence of childhood obesity are possible.” (Veerman et al. 2009)
  • What is at stake falls to be much more complex than the sole Freedom of Speech invoked for the advertiser
  • liberty of non-reception
  • would mean to guaranty every citizen the right to choose where and when he wants to access the advertising information
  • Change in the industrial and commercial paradigm
  • Economy of contribution and peer production
  • An economy of contribution means that users of a service are contributing to the production of these services.
  • example
  • is open-source software that are contributively build by potentially hundreds of developers organized in communities
  • minimize the gap between the producer and consumer
  • blur the frontier between professionals and amateurs
  • The Copernican revolution of the Vendor Relationship Management paradigm
  • change in the commercial paradigm, described as an Intention Economy i.e. the opposite of the Attention Economy
  • consumers are charged to express and discuss their intention
  • with businesses rather than the usual paradigm in which businesses where fighting for a piece of canalized motivation
  • Implementing such a system would nevertheless imply that marketing departments dispose of a system in which they could value their supplies and where they could be easily found by customers. Doc Searls promotes his answer to this issue: the Vendor Relationship Management system.
  • the belief that free customers are more valuable than captive ones — to themselves, to vendors, and to the larger economy.
  • To be free
  • 1. Customers must enter relationships with vendors as independent actors.
  • 2. Customers must be the points of integration for their own data.
  • 3. Customers must have control of data they generate and gather. This means they must be able to share data selectively and voluntarily.
  • 4. Customers must be able to assert their own terms of engagement.
  • 5. Customers must be free to express their demands and intentions outside of any one company’s control.
  • This is a profoundly game-changing approach
  • big data that is the rush for consumers’ information potentially leading to the same dead-end of attention destruction and affective saturation than the former offline paradigm
  • VRM system working as a marketplace
  • the goal of marketing should be to increase the likelihood and frequency of free and informed transactions in the marketplace
  • less imperfect and less biased information in a cultural context overvaluing transparency, and a bigger atomicity due to the hereafter introduced trend for re-localized peer production.
  • 3.2.2.3 VRM and externalization of the socialization process
  • Promoting the end of advertisement
  • means to find a new way to make the information circulate, what was the primary goal of advertisement
  • Until there is no alternative to massive advertisement campaign for the information circulation, it is indeed hard to ask entrepreneurs and managers to get rid of those successors of propaganda: such a transition process necessarily imply adaptation costs from the producer and the consumer side, and possible competitive disadvantage against competitors still maximizing profit through advertisement means
  • But the internet transformation of the general organology offers new way to think information circuits and potentially constitute an opportunity to externalize the socialization process of products that is to empower citizen-consumers organized in communities
  • Empowering groups of citizen doesn’t annihilate the risks of mis-use or counterproductive interest-taker behaviors but a well-designed system of trust between peers could minimize this risk by creating a dependency to what social capital other peers give you, as it is happening in the sharing economy: the credibility of a contributive peer would be guaranteed through what the P2P Foundation calls Feedback systems and peer-police
  • a strong structuration of products characteristics, allowing customers to personalize their choices according to their desire and constraints: such a “VRM+” system
  • Marketing would then be the art of being as high as possible in this ranking, as it is happening in SEO for search engines, but in this context of criteria explosion, marketing would then be the disciple of listening to customers’ wishes and aspiration needing an attention, in order to kick in the production or to adapt the following series.
  • 3.2.2.4 Toward a possible equi-power
  • Such a system would tremendously re-configure the balance of power and tend toward a form of equi-power i.e. a social organization in which abuses of a “big” would be the potential object of a ranking sanction by the peers
  • self-regulative function
  • a form of economic Darwinism would let to conscious organization the right to curve their path toward a durable configuration in accordance with the social ecosystem.
  • the idea of equi-power is a form of homogenization of the social matter, in which the distortions in the balance of power would be compensated by the gathering of small forces sharing a common interest
  • Such a sanction systems, if successfully implemented, would make value-destructing businesses progressively decline and hopefully bankrupt,
  • long-term valuable strategic choice
  • long term satisfyingly high ranking
  • It would be utopic to think that the “being cool” marketing
  • would disappear, but marketers would have to make those two objectives compose together.
  • This social capital contagion is nevertheless a tool that would need to be controlled in its form of violence by extensive testings and iterations with forms of protections for the smallest peers, that is to say to keep this form of social violence to institutionalized, classic forms of businesses, clearly beyond the line of what should be acceptable in the global village.
  • the goal is here to create an artificial form of majority that is a self-censuring responsible behavior of corporations
Tiberius Brastaviceanu

Private 'Distributed Ledgers' Miss the Point of a Blockchain | Bank Think - 0 views

  • a new buzzword making waves throughout the financial industry: “distributed ledger.”
  • Some say it's a tool to enable transparency by ensuring that all members of a group receive cryptographically secured messages about participants’ activities
  • Some are even bold enough to predict that distributed ledgers will end the madness of managing multiple database and reconciliation structures.
  • ...13 more annotations...
  • Distributed ledgers have primarily claimed to supplant the need for Bitcoin's mining process by introducing trust requirements among participants. These ledgers also promise users the immutability of Bitcoin without the need for expensive mining operations.
  • the technology powering distributed ledgers predates blockchains by well over 20 years.
  • Proponents of distributed ledgers argue that they can displace centralized providers such as SWIFT,
  • by moving money faster
  • There’s no doubt that blockchain technology will facilitate disruptive innovations in finance
  • But a world of private ledgers sounds eerily similar to a range of “private Internets.”
  • Blockchain technology is useful not because it offers efficiency in a world of message-passing but because it uses a complex process to settle value between untrusted parties.
  • But distributed ledgers do not offer users the ability to easily convert their tokens and messages into fungible units of value. Nor do distributed ledgers escrow value between parties that don't trust each other.
  • If a ledger is not a public resource, it will have the pressures incumbent to existing settlement systems plus the overhead of maintaining a shared database among competitors. What efficiency will remain thereafter remains dubious.
  • Permissioned Blockchains
  • their institutional users will probably find it expedient to hash their private-chain transactions and use those hashes to create bitcoin addresses and then send tiny fractions of a bitcoin to them to register their data at a location that cannot be hacked or changed.
    • Tiberius Brastaviceanu
       
      This is also a problem with access, if an access event needs to be recorded in a way that cannot be altered, in a data location that cannot be altered, it will need to be stored on a block chain. 
  • In other words, all private ledger/blockchains will lead to Bitcoin's Rome, driven there by its low cost and high public accountability.
  •  
    the case against private chains.
Francois Bergeron

A model for device development | Researchers at the Stanford University Program in Biod... - 2 views

  • clinical need.
  • estimated market size and clinical impact associated with each.
  • prior art related
  • ...4 more annotations...
  • barriers to further development exist from an intellectual property perspective
  • Inventors must also determine if they are in a position to efficiently seize the market opportunity.
  • regulatory considerations, reimbursement strategies, intellectual property, and business development objectives. This leads to Phase I of the development model.
  • R&D in Phase II is responsible for generating early concepts. Brainstorming sessions are often held during this stage of development with members of R&D, marketing, and physician consultants. Computational analyses, such as stress and flow studies, are conducted to further understand the behavior of a proposed device. The team often develops a 3D CAD model of a proposed device
  •  
    medical device development steps
Tiberius Brastaviceanu

Votorola - 1 views

  •  
    Votorola is social software in support of non-party primary elections and public rule making. We develop the tools to enable a radically free democracy based on unrestricted voting, drafting and discussion. Our alpha prototypes cover everything from voter registration in electoral districts to consensus making, and we lead the field in design, theory and inventions.
Kurt Laitner

Using Nondominion to Evolve from Local to Global Commons - P2P Foundation - 0 views

  • 5 “As” (Architecture, Adaptiveness, Accountability, Allocation and Access) in the governance of the global commons for the benefit of humanity."
  • the new framework focuses on veto rights – rather than recognized ownership claims
  • mutual benefit.
  • ...15 more annotations...
  • an association of beneficiaries.
  • A trustee (custodian) for the CHM would be elected by the representatives
  • to oversee the legal operation of a collective entity
  • The representatives would also appoint a Manager, for a parallel partnership venture, to identify opportunities to develop the common pool resource in accord with a transparent revenue-sharing formula
  • Each representative would have power to exercise a veto with regard to the resource development proposal(s) circulated by the manager.
  • Once an agreed formula (non-vetoed by the countries) emerged for recognizing needed inputs, and for overall revenue-sharing, the manager of the nondominium partnership would arrange open tenders to seek economic partners to maximize the value of the common pool resources.
  • Revenues from ensuing activities would be distributed to the association members on the originally-agreed basis
  • Oversight of compliance would rest with the nondominium’s trustee
  • Ostrom’s key principles of successful collective choice agreements and monitoring by independent auditors.
  • Moreover, it does not confer the active power of control held under common law by a Trustee on behalf of beneficiaries,
  • the proposed negative or passive veto right of stewardship differs fundamentally from conventional property rights of absolute ownership and temporary use under Condominium
  • The Caspian Partnership agreement would comprise a master framework agreement within which a myriad of associative agreements between the Caspian littoral nations individually or severally would be registered.”
  • encourage Ostrom’s user association-based systems of economic governance
  • "Areas recognized as being the heritage of mankind are defined by treaties as falling outside of nation-state jurisdiction and ownership, and are to be instead developed on a basis that benefits all human beings
  • the combination of Elinor Ostrom’s economic governance strategies with nondominium legal structures can lead to a new basis for common pool resources to be developed on a basis benefiting all of humanity.
Kurt Laitner

Elance unveils Private Talent Cloud to drive freelance revolution | VentureBeat | Busin... - 1 views

  • oDesk, Freelancer.com, and Guru step in
  • Pearson said that businesses hire, manage and pay freelancers through a variety of different tools, agencies, and resources, which is expensive, time-consuming, and can lead to errors.
Tiberius Brastaviceanu

Science and Technology Consultation - Industry Canada - 0 views

  • Under this strategy
    • Yasir Siddiqui
       
      Testing
    • Yasir Siddiqui
       
      testing
  • Genome Canada, the Canadian Institute for Advanced Research and the Canada Foundation for Innovation.
  • Still, Canadian businesses continue to underperform when it comes to innovation—a primary driver of productivity growth—when compared to other competing nations. The performance of business R&D is one oft-cited measure used to gauge the level of innovative activity in a country's business sector.
  • ...38 more annotations...
  • Canadians have reached top tier global performance in reading, mathematics, problem solving and science, and Canada has rising numbers of graduates with doctoral degrees in science and engineering.
  • This valuable resource of highly qualified and skilled individuals needs to be better leveraged.
  • The ease and ability of the academic community to collaborate, including through research networks, is also well-recognized.
  • to develop technologies, products and services that add value and create high-paying jobs.
  • Canada has an impressive record when it comes to research and the quality of its knowledge base.
  • Still, the innovative performance of Canada's firms and the productivity growth continue to lag behind competing nations.
  • The government is also committed to moving forward with a new approach to promoting business innovation—one that emphasizes active business-led initiatives and focuses resources on better fostering the growth of innovative firms.
  • Achieving this requires the concerted effort of all players in the innovation system—to ensure each does what one does best and to leverage one another's strengths.
  • the government has invested more to support science, technology and innovative companies than ever before
  • Canada must become more innovative
    • Kurt Laitner
       
      problem statement
  • providing a new framework to guide federal ST&I investments and priorities. That is why the Government of Canada stated its intention to release an updated ST&I Strategy in the October 2013 Speech from the Throne.
    • Kurt Laitner
       
      exercise
  • seeking the views of stakeholders from all sectors of the ST&I system—including universities, colleges and polytechnics, the business community, and Canadians
  • written submissions from all Canadians on the policy issues and questions presented in this paper.
  • The government remains focused on creating jobs, growth and long-term prosperity for Canadians
  • encouraging partnerships with industry, attracting highly skilled researchers, continuing investments in discovery-driven research, strengthening Canada's knowledge base, supporting research infrastructure and providing incentives to private sector innovation.
  • has transformed the National Research Council, doubled its investment
  • supported research collaborations through the federal granting councils
  • created the new Venture Capital Action Plan
  • helping to promote greater commercialization of research and development
  • Our country continues to lead the G7 in spending on R&D
  • Canada has a world-class post-secondary education system that embraces and successfully leverages collaboration with the private sector, particularly through research networks
  • destination for some of the world's brightest minds
  • global race
  • businesses that embrace innovation-based strategies
  • post-secondary and research institutions that attract and nurture highly qualified and skilled talent
  • researchers who push the frontiers of knowledge
  • governments that provide the support
    • Tiberius Brastaviceanu
       
      Why a race? We need to change the way we see this!!! We need to open up. See the European Commission Horizon 2020 program  http://ec.europa.eu/programmes/horizon2020/en/ They are acknowledging that Europe cannot do it alone, and are spending money on International collaboration. 
    • Tiberius Brastaviceanu
       
      There is nothing about non-institutionalized innovation, i.e. open source! There is nothing about the public in this equation like the Europeans do in the Digital Era for Europe program  https://ec.europa.eu/digital-agenda/node/66731 
  • low taxes, strong support for new businesses, a soundly regulated banking system, and ready availability of financial services
  • reducing red tape
  • expanding training partnerships and improving access to venture capital.
  • Collaboration is key to mobilizing innovation
  • invest in partnerships between businesses and colleges and universities
    • Tiberius Brastaviceanu
    • Tiberius Brastaviceanu
       
      But the public and in people is still not in sight of the fed gov. 
  • Economic Action Plans (EAP) 2012 and 2013
  • provide incentive for innovative activity in firms, improved access to venture capital, augmented and more coordinated direct support to firms, and deeper partnerships and connections between the public and private sectors.
Tiberius Brastaviceanu

Innovation Canada: A Call to Action - Review of Federal Support to Research and Develop... - 1 views

  • Canada has a solid foundation on which to build success as a leader in the knowledge economy of tomorrow
  • innovation in Canada lags behind other highly developed countries
  • innovation is the ultimate source of the long-term competitiveness of businesses and the quality of life of Canadians
  • ...28 more annotations...
  • We heard that the government should be more focussed on helping innovative firms to grow and, particularly, on serving the needs of small and medium-sized enterprises (SMEs)
  • greater cooperation with provincial programs
  • innovation support is too narrowly focussed on R&D – more support is needed for other activities along the continuum from ideas to commercially useful innovation
  • more productive and internationally competitive economy
  • whole-of-government program delivery vehicle – the Industrial Research and Innovation Council (IRIC)
  • SR&ED program should be simplified
  • includes non-labour costs, such as materials and capital equipment, the calculation of which can be highly complex
  • the base for the tax credit should be labour-related costs, and the tax credit rate should be adjusted upward
  • fund direct support measures for SMEs
  • promoting the growth of firms
  • facilitating access by such firms to an increased supply of risk capital at both the start-up and later stages of their growth.
  • building public–private research collaborations
  • National Research Council (NRC) should become independent collaborative research organizations
  • become affiliates of universities
  • create opportunity and demand for leading-edge goods
  • encouragement of innovation in the Canadian economy should become a stated objective of procurement policies and programs.
  • the government needs to establish business innovation as a whole-of-government priority
  • put innovation at the centre of the government's economic strategy
  • Innovation Advisory Committee (IAC) – a body with a whole-of-government focus that would oversee the realization of our proposed action plan, as well as serve as a permanent mechanism to promote the refinement and improvement of the government's business innovation programs going forward.
  • focus resources where market forces are unlikely to operate effectively or efficiently and, in that context, address the full range of business innovation activities, including research, development, commercialization and collaboration with other key actors in the innovation ecosystem
  • the closer the activity being supported is to market, and therefore the more likely it is that the recipient firm will capture most of the benefit for itself.
  • specific sectors
  • of strategic importance
  • concentrated in particular regions
  • succeed in the arena of global competition
    • Tiberius Brastaviceanu
       
      They don't go beyond the firm
    • Tiberius Brastaviceanu
       
      they are still stuck in the competitive paradigm
    • Tiberius Brastaviceanu
       
      Still stack with the old paradigm of the "knowledge economy"  http://en.wikipedia.org/wiki/Knowledge_economy  My opinion is that we're moving into a know-how economy. 
Kurt Laitner

The Energy Efficiency of Trust & Vulnerability: A Conversation | Switch and Shift - 0 views

  • trusting people because of who they are personally vs. who they are professionally
  • also need to trust systems
  • our own resources
  • ...34 more annotations...
  • How much we need to trust others depends on the context,
  • how much we trust ourselves,
  • our ability to understand the context we are in
  • When we trust, we re-allocate that energy and time to getting things done and making an impact
  • the more information and/or experience we have, the better we can decide whether or not to trust
  • Trust is a tool to assess and manage (reduce and/or increase) risk, depending on the situation.
  • Trusting someone implies making oneself more vulnerable
  • When we don’t trust, we exert a lot of energy to keep up our guard, to continually assess and verify.  This uses a lot of energy and time.
  • If the alternative is worse, we might opt for no trust
  • As we let ourselves be vulnerable, we also leave ourselves more open to new ideas, new ways of thinking which leads to empathy and innovation.
  • the more we can focus on the scope and achievement of our goals
  • trusting is efficient….and effective
  • Being vulnerable is a way to preserve energy
  • It lets us reallocate our resources to what matters and utilize our skills and those around us to increase effectiveness…impact.
  • If we are working together, we need to agree on the meaning of ‘done’.  When are we done, what does that look like?
  • “Control is for Beginners”
  • Strategic sloppiness is a way to preserve energy
  • Build on the same shared mental models
  • use the same language
  • As the ability to replicate something has become more of a commodity, we are increasingly seeing that complex interactions are the way to create ‘value from difference’ (as opposed to ‘value from sameness’).
  • allow for larger margins of error in our response and our acceptance of others
  • higher perfection slows down the tempo
  • We can’t minimize the need to be effective.
  • Efficient systems are great at dealing with complicated things – things that have many parts and sequences, but they fall flat dealing with complex systems, which is most of world today.
  • make sure we hear and see the same thing (reduce buffers around our response)
  • timing
  • intuition
  • judgment
  • experience
  • ability to look at things from many different perspective
  • to discover, uncover, understand and empathize is critical
  • focus on meaning and purpose for work (outcomes) instead of just money and profit (outputs)
  • When we have a common goal of WHY we want to do something, we are better able to trust
  • When we never do the same thing or have the same conversation twice, it becomes much more important to figure out why and what we do than how we do it (process, which is a given)
  •  
    spot on conversation on *trust, I see creating a trustful environment quickly among strangers as a key capability of an OVN, we need to quickly get past the need to protect and verify and move on to making purpose and goals happen
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