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Tiberius Brastaviceanu

POWER-CURVE SOCIETY: The Future of Innovation, Opportunity and Social Equity in the Emerging Networked Economy | The Aspen Institute - 1 views

  • how technological innovation is restructuring productivity and the social and economic impact resulting from these changes
  • concern about the technological displacement of jobs, stagnant middle class income, and wealth disparities in an emerging "winner-take-all" economy
  • personal data ecosystems that could potentially unlock a revolutionary wave of individual economic empowerment
  • ...70 more annotations...
  • the bell curve described the wealth and income distribution of American society
  • As the technology boom of the 1990s increased productivity, many assumed that the rising water level of the economy was raising all those middle class boats. But a different phenomenon has also occurred. The wealthy have gained substantially over the past two decades while the middle class has remained stagnant in real income, and the poor are simply poorer.
  • America is turning into a power-curve society: one where there are a relative few at the top and a gradually declining curve with a long tail of relatively poorer people.
  • For the first time since the end of World War II, the middle class is apparently doing worse, not better, than previous generations.
  • an alarming trend
  • What is the role of technology in these developments?
  • a sweeping look at the relationship between innovation and productivity
  • New Economy of Personal Information
  • Power-Curve Society
  • the future of jobs
  • the report covers the social, policy and leadership implications of the “Power-Curve Society,”
  • World Wide Web
  • as businesses struggle to come to terms with this revolution, a new set of structural innovations is washing over businesses, organizations and government, forcing near-constant adaptation and change. It is no exaggeration to say that the explosion of innovative technologies and their dense interconnections is inventing a new kind of economy.
  • the new technologies are clearly driving economic growth and higher productivity, the distribution of these benefits is skewed in worrisome ways.
  • the networked economy seems to be producing a “power-curve” distribution, sometimes known as a “winner-take-all” economy
  • Economic and social insecurity is widespread.
  • major component of this new economy, Big Data, and the coming personal data revolution fomenting beneath it that seeks to put individuals, and not companies or governments, at the forefront. Companies in the power-curve economy rely heavily on big databases of personal information to improve their marketing, product design, and corporate strategies. The unanswered question is whether the multiplying reservoirs of personal data will be used to benefit individuals as consumers and citizens, or whether large Internet companies will control and monetize Big Data for their private gain.
  • Why are winner-take-all dynamics so powerful?
  • appear to be eroding the economic security of the middle class
  • A special concern is whether information and communications technologies are actually eliminating more jobs than they are creating—and in what countries and occupations.
  • How is the power-curve economy opening up opportunities or shutting them down?
  • Is it polarizing income and wealth distributions? How is it changing the nature of work and traditional organizations and altering family and personal life?
  • many observers fear a wave of social and political disruption if a society’s basic commitments to fairness, individual opportunity and democratic values cannot be honored
  • what role government should play in balancing these sometimes-conflicting priorities. How might educational policies, research and development, and immigration policies need to be altered?
  • The Innovation Economy
  • Conventional economics says that progress comes from new infusions of capital, whether financial, physical or human. But those are not necessarily the things that drive innovation
  • What drives innovation are new tools and then the use of those new tools in new ways.”
  • at least 50 percent of the acceleration of productivity over these years has been due to ICT
  • economists have developed a number of proxy metrics for innovation, such as research and development expenditures.
  • Atkinson believes that economists both underestimate and overestimate the scale and scope of innovation.
  • Calculating the magnitude of innovation is also difficult because many innovations now require less capital than they did previously.
  • Others scholars
  • see innovation as going in cycles, not steady trajectories.
  • A conventional approach is to see innovation as a linear, exponential phenomenon
  • leads to gross errors
  • Atkinson
  • believes that technological innovation follows the path of an “S-curve,” with a gradual increase accelerating to a rapid, steep increase, before it levels out at a higher level. One implication of this pattern, he said, is that “you maximize the ability to improve technology as it becomes more diffused.” This helps explain why it can take several decades to unlock the full productive potential of an innovation.
  • innovation keeps getting harder. It was pretty easy to invent stuff in your garage back in 1895. But the technical and scientific challenges today are huge.”
  • costs of innovation have plummeted, making it far easier and cheaper for more people to launch their own startup businesses and pursue their unconventional ideas
  • innovation costs are plummeting
  • Atkinson conceded such cost-efficiencies, but wonders if “the real question is that problems are getting more complicated more quickly than the solutions that might enable them.
  • we may need to parse the different stages of innovation: “The cost of innovation generally hasn’t dropped,” he argued. “What has become less expensive is the replication and diffusion of innovation.”
  • what is meant by “innovation,”
  • invention plus implementation.”
  • A lot of barriers to innovation can be found in the lack of financing, organizational support systems, regulation and public policies.
  • 90 percent of innovation costs involve organizational capital,”
  • there is a serious mismatch between the pace of innovation unleashed by Moore’s Law and our institutional and social capacity to adapt.
  • This raises the question of whether old institutions can adapt—or whether innovation will therefore arise through other channels entirely. “Existing institutions are often run by followers of conventional wisdom,”
  • The best way to identify new sources of innovation, as Arizona State University President Michael Crow has advised, is to “go to the edge and ignore the center.”
  • Paradoxically, one of the most potent barriers to innovation is the accelerating pace of innovation itself.
  • Institutions and social practice cannot keep up with the constant waves of new technologies
  • “We are moving into an era of constant instability,”
  • “and the half-life of a skill today is about five years.”
  • Part of the problem, he continued, is that our economy is based on “push-based models” in which we try to build systems for scalable efficiencies, which in turn demands predictability.
  • The real challenge is how to achieve radical institutional innovations that prepare us to live in periods of constant two- or three-year cycles of change. We have to be able to pick up new ideas all the time.”
  • pace of innovation is a major story in our economy today.
  • The App Economy consists of a core company that creates and maintains a platform (such as Blackberry, Facebook or the iPhone), which in turn spawns an ecosystem of big and small companies that produce apps and/or mobile devices for that platform
  • tied this success back to the open, innovative infrastructure and competition in the U.S. for mobile devices
  • standard
  • The App Economy illustrates the rapid, fluid speed of innovation in a networked environment
  • crowdsourcing model
  • winning submissions are
  • globally distributed in an absolute sense
  • problem-solving is a global, Long Tail phenomenon
  • As a technical matter, then, many of the legacy barriers to innovation are falling.
  • small businesses are becoming more comfortable using such systems to improve their marketing and lower their costs; and, vast new pools of personal data are becoming extremely useful in sharpening business strategies and marketing.
  • Another great boost to innovation in some business sectors is the ability to forge ahead without advance permission or regulation,
  • “In bio-fabs, for example, it’s not the cost of innovation that is high, it’s the cost of regulation,”
  • This notion of “permissionless innovation” is crucial,
  • “In Europe and China, the law holds that unless something is explicitly permitted, it is prohibited. But in the U.S., where common law rather than Continental law prevails, it’s the opposite
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
  • ...75 more annotations...
  • 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
Tiberius Brastaviceanu

Dark Intellectual Property. Why We Need a Kickstarter for Patents - 0 views

  • “dark IP,” the intellectual property (IP) that remains on the shelf: undiscovered, unexplored, untapped
  • our ability to catch so much in the net by dragging the surface (to use Mike Bergman’s analogy) actually still misses the invisible wealth of what lies beneath.
  • But dark IP is different than the other hidden-depths knowledge since it’s also unfair. Because taxpayers paid for much of the research — whether basic understanding with long-term benefits or more applied research with shorter-term benefits — that now lies collecting dust on university shelves.
  • ...31 more annotations...
  • the people of the United States spent an average of nearly $40 billion every year supporting institutional research
  • 65 percent of invention disclosure bundles remain, on average, unlicensed and unused … each year.
  • ”…the street finds its own uses for things.”
  • most of the IP (much of which we paid for) isn’t actually on the street, where entrepreneurial folks can do something with it.
  • the overworked and understaffed tech transfer offices
  • their models
  • There’s not necessarily room for exploration and discovery
  • byzantine bureaucracy of large organizations
  • But let’s face it, there’s also the hoarding and the overprotecting
  • So much IP is generated that it’s far too much for any one entity to ever make sense of
  • very few people are aware of — let alone able to access — an invention outside the social circle of its inventors, the scientific community involved, or even the “crowd” that’s sometimes harnessed in open innovation
  • we need new ways of democratizing it
  • Not democratizing the IP itself — institutions should still own and generate profits from the intellectual property they’ve created — but democratizing the ways in which we allow this IP to be discovered and licensed.
  • idea contests
  • marketplaces
  • competitions to find uses for on-the-shelf IP
  • missing out on the transformative potential of what technology can do here
  • promoting new ways of interacting around intellectual property
  • Marblar, where I’m an advisor
    • Tiberius Brastaviceanu
       
      The guy is not entirely for open innovation but proposes an intermediary model to democratize the use of IP
  • This turns off the average entrepreneur, who doesn’t have the patience and bandwidth to engage in all the unnecessary overhead of searching, browsing, and licensing IP.
  • Many small startups don’t even bother with IP
  • Another missing piece is ways of allowing the crowd to interact with each other and decide which technologies should be licensed
  • bidding wars
    • Tiberius Brastaviceanu
       
      competitive dynamic for acquiring IP and using it effectively. This doesn't solve the problem, because some companies will still buy it for defensive purposes or block others from using it, unlike with truly open innovation. 
  • Most of the examples I listed above haven’t changed much over the past decade or broken into the mainstream.
  • why not a Kickstarter for IP?
  • Such a website would bring together not just funds and transactions, but communities — with their attendant feedback mechanisms — that are interested in creating something novel around unused patents.
  • such a model would help get the ideas of a few into the minds of many.
  • open up the currently closed shelf to virtual browsing
  • inventions are not only ‘filed’ or ‘granted’ but ‘browsed’ or ‘licensed’.
Kurt Laitner

Melancholy Elephants - 0 views

  •  
    pithy short story dealing with re-use, attribution, innovation, the idea of pure invention
Kurt Laitner

One Week Left To Invent The Future - IEEE Spectrum - 1 views

  •  
    Imagine the sensor driven future
Tiberius Brastaviceanu

'Anti-Troll' Marblar Unites NASA Patents, Samsung to Crowdsource New Products - 1 views

  • can be found in NASA technology, and the new crowdsourcing website Marblar is taking advantage of that to find the next big thing.
  • The site Wednesday announced that several hundred patents from NASA and other organizations would be available for its users to play with.
  • many companies' research and development departments spend millions of dollars on such patents, more than 95 percent of them sit unused.
  • ...19 more annotations...
  • what if people saw the patents
  • aying dormant
  • new ways that we can incorporate these patents into new products?"
  • Marblar also obtained access to many patents from the University of Pennsylvania and from ETRI,
  • The site also partnered with Samsung,
  • or its potential to bring the patents of Marblar users to life.
  • Any idea that Samsung likes could find its way into Samsung technology, with 10 percent of the royalties going to the Marblar users who brought it to life
    • Tiberius Brastaviceanu
       
      Samsong decides what to develop or not... this is still top down, when it comes to choosing the technology to be developed. But at least the list of ideas has been curated and refined.
    • Tiberius Brastaviceanu
       
      Using the crowd to curate and refine ideas/inventions
  • The contributors to a Marblar project might be helping an inventor out of the goodness of their heart, but they also stand to gain if a particular product gets the green light. Marblar rewards users who provide useful data or information by giving them "marbles," the websites namesake currency.
    • Tiberius Brastaviceanu
       
      They do have some sort of value accounting system in place. See the open value network model http://valuenetwork.referata.com/wiki/Value_accounting_system 
  • In the spirit of crowdsourcing, other Marblar users can help out a particular inventor whose idea they want to see come to life.
  • "As you submit product ideas and contribute market data or technical data, you get more marbles," Perez said.
    • Tiberius Brastaviceanu
       
      Quirky developed prototyping, manufacturing and distribution capabilities
  • The more marbles a person earns, the bigger the cut he or she gets in the royalty check if the product makes it to market.
  • Another website, Quirky
  • have a store dedicated to selling its users products
  • patents have become more associated with litigation than productivity.
  • "Patent trolls buy up patents to extract money, with no intention of actually creating a product," he said. "Marblar is like the anti-troll. We're looking for new ways to commercialize."
Tiberius Brastaviceanu

Inventables - 2 views

  •  
    Tibi sent them an email to see if they are interested in partnering with us to move some of our products. They are working with other OSHW communities.
kozak30k

RobotShop Accelerator for Inventors & Developers - The World's Leading Source for Domestic Robot Technology - RobotShop.com - 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.
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.
Steve Bosserman

physician inventors flock to ohio - 1 views

  •  
    Opportunities for collaboration?
Francois Bergeron

Tandemlaunch - Call for Proposals - 1 views

  • AUGUST 15th DEADLINE
  • suited for entrepreneurial university inventors who want to develop their multimedia inventions for the consumer electronics market.
Kurt Laitner

Bret Victor - Inventing on Principle on Vimeo - 0 views

  •  
    Very good design work, a new tool opening new possibilities
Francois Bergeron

Whose Capitalism is it Anyway? | Management Innovation eXchange - 1 views

  • So what replaces competition—what drives growth today? We already know the answer: the kind of innovation that comes from collaboration, not competition.
  • How do you encourage the invention of something entirely new that serves both the profit motive and provides social benefit—even without access to Jeff Immelt’s special fund? You “build a lifeboat,” says Chris. Create a protected space, permission, and some funding “for the people who believe in the new thing and just can’t help themselves but to follow that belief.”
  • At the individual level, “that’s what they pay me to do,” is not enough of a reason to do something, argues Chris. “If you could, as a leader at any level, say ‘I’m only going to do things I believe in’ and if you can’t find work that overlaps with that, then ‘I’m in the wrong place.’” That’s a non-trivial moral stance—there just aren’t that many jobs out there that match up personal beliefs and values to everyday work. There is a way beyond this conundrum (though it’s not for the faint of heart), says Chris, “standing on the sun, it’s worth remembering that jobs are a relatively new phenomenon. Before there were large industrial organizations, everybody was an entrepreneur. And what we’re going to return to is a form of people finding their own work.”
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  • winning is more often the result of the alignment of different interests than of a battle between them.
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    new economy and the importance of collaboration - worldwide. See the example of GE in India
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