Skip to main content

Home/ Sensorica Knowledge/ Group items tagged implications

Rss Feed Group items tagged

Kurt Laitner

The Implications of Crypto Assets Part 3: Distributed Autonomous Corporations - 0 views

  • Namecoins are mined in the same manner as bitcoins
    • Kurt Laitner
       
      Major problem here, as described by Michel Bauwens - bitcoin is libertarian and hyper exploitative and bitcoin has been captured by 7 people who can release currency into circulation - the problem is the computer is the peer, and computers cost money
  • The idea of distributed autonomous corporations already exists, so now we just have to wait for the programmers and entrepreneurs to create the applications that build on the original thought.
    • Kurt Laitner
       
      not sure how they exist then...?
  • little to no profit incentive for the developers and supporters of the projects. You can only go so far with donations
  • ...1 more annotation...
  • When you can create an encrypted email DAC that focuses on privacy and providing a quality product that can rival Gmail, it becomes much easier for the general public to care about computer security.
Tiberius Brastaviceanu

POWER-CURVE SOCIETY: The Future of Innovation, Opportunity and Social Equity in the Eme... - 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
Tiberius Brastaviceanu

Welcome to the new reputation economy (Wired UK) - 1 views

  • banks take into account your online reputation alongside traditional credit ratings to determine your loan
  • headhunters hire you based on the expertise you've demonstrated on online forums
  • reputation data becomes the window into how we behave, what motivates us, how our peers view us and ultimately whether we can or can't be trusted.
  • ...37 more annotations...
  • But this wealth of data raises an important question -- who owns our reputation? Shouldn't our hard-earned online status be portable? If you're a SuperHost on Airbnb, shouldn't you be able to use that reputation to, say, get a loan, or start selling on Etsy?
  • The difference today is our ability to capture data from across an array of digital services. With every trade we make, comment we leave, person we "friend", spammer we flag or badge we earn, we leave a trail of how well we can or can't be trusted.
  • An aggregated online reputation having a real-world value holds enormous potential
  • peer-to-peer marketplaces, where a high degree of trust is required between strangers; and where a traditional approach based on disjointed information sources is currently inefficient, such as recruiting.
  • opportunity to reinvent the way people found jobs through online reputation
  • "It's not about your credit, but your credibility," King says.
  • At the heart of Movenbank is a concept call CRED.
  • "People are currently underusing their networks and reputation," King says. "I want to help people to understand and build their influence and reputation, and think of it as capital they can put to good use."
  • Social scientists have long been trying to quantify the value of reputation.
  • Using functional magnetic resonance imaging, the researchers monitored brain activity
  • "The implication of our study is that different types of reward are coded by the same currency system." In other words, our brains neurologically compute personal reputation to be as valuable as money.
  • Personal reputation has been a means of making socioeconomic decisions for thousands of years. The difference today is that network technologies are digitally enabling the trust we used to experience face-to-face -- meaning that interactions and exchanges are taking place between total strangers.
  • Trust and reputation become acutely important in peer-to-peer marketplaces such as WhipCar and Airbnb, where members are taking a risk renting out their cars or their homes.
  • When you are trading peer-to-peer, you can't count on traditional credit scores. A different measurement is needed. Reputation fills this gap because it's the ultimate output of how much a community trusts you.
  • Welcome to the reputation economy, where your online history becomes more powerful than your credit history.
  • Presently, reputation data doesn't transfer between verticals.
  • A wave of startups, including Connect.Me, TrustCloud, TrustRank, Legit and WhyTrusted, are trying to solve this problem by designing systems that correlate reputation data. By building a system based on "reputation API" -- a combination of a user's activity, ratings and reviews across sites -- Legit is working to build a service that gives users a score from zero to 100. In trying to create a universal metric for a person's trustworthiness, they are trying to "become the credit system of the sharing economy", says Jeremy Barton, the 27-year-old San Francisco-based cofounder of Legit.
  • trusted to pay on time
  • PeerIndex, Kred and Klout,
  • are measuring social influence, not reputation. "Influence measures your ability to drag someone into action,"
  • "Reputation is an indicator of whether a person is good or bad and, ultimately, are they trustworthy?"
  • Early influence and reputation aggregators will undoubtedly learn by trial and error -- but they will also face the significant challenge of pioneering the use of reputation data in a responsible way. And there's a challenge beyond that: reputation is largely contextual, so it's tricky to transport it to other situations.
  • Many of the ventures starting to make strides in the reputation economy are measuring different dimensions of reputation.
  • reputation is a measure of knowledge
  • a measure of trust
  • a measure of propensity to pay
  • measure of influence
  • Reputation capital is not about combining a selection of different measures into a single number -- people are too nuanced and complex to be distilled into single digits or binary ratings.
  • It's the culmination of many layers of reputation you build in different places that genuinely reflect who you are as a person and figuring out exactly how that carries value in a variety of contexts.
  • The most basic level is verification of your true identity
  • reliability and helpfulness
  • do what we say we are going to do
  • respect another person's property
  • His company, and other reputation ventures, face some big challenges if they are to become, effectively, the PayPal of trust. The most obvious is coming up with algorithms that can't be easily gamed or polluted by trolls. And then there's the critical hurdle of convincing online marketplaces not just to open up their reputation vaults, but create a standardised format for how they frame and collect reputation data. "We think companies will share reputation data for the same reasons banks give credit data to credit bureaux," says Rob Boyle, Legit cofounder and CTO. "It is beneficial for one company to give up their slice of reputation data if in return they get access to the bigger picture: aggregated data from other companies."
  • we will be able to perform a Google- or Facebook-like search and see a picture of a person's behaviour in many different contexts, over a length of time. Slivers of data that have until now lived in secluded isolation online will be available in one place. Answers on Quora, reviews on TripAdvisor, comments on Amazon, feedback on Airbnb, videos posted on YouTube, social groups joined, or presentations on SlideShare; as well as a history and real-time stream of who has trusted you, when, where and why. The whole package will come together in your personal reputation dashboard, painting a comprehensive, definitive picture of your intentions, capabilities and values.
  • idea of global reputation
  • By the end of the decade, a good online reputation could be the most valuable currency in your possession.
Tiberius Brastaviceanu

What is an ontology and why we need it - 1 views

  • an ontology designer makes these decisions based on the structural properties of a class.
  • an ontology is a formal explicit description of concepts in a domain of discourse (classes (sometimes called concepts)), properties of each concept describing various features and attributes of the concept (slots (sometimes called roles or properties)), and restrictions on slots (facets (sometimes called role restrictions)). An ontology together with a set of individual instances of classes constitutes a knowledge base. In reality, there is a fine line where the ontology ends and the knowledge base begins.
  • Classes describe concepts in the domain
  • ...16 more annotations...
  • A class can have subclasses that represent concepts that are more specific than the superclass.
  • Here we discuss general issues to consider and offer one possible process for developing an ontology. We describe an iterative approach to ontology development: we start with a rough first pass at the ontology. We then revise and refine the evolving ontology and fill in the details. Along the way, we discuss the modeling decisions that a designer needs to make, as well as the pros, cons, and implications of different solutions.
  • In practical terms, developing an ontology includes: �         defining classes in the ontology, �         arranging the classes in a taxonomic (subclass–superclass) hierarchy, �         defining slots and describing allowed values for these slots, �         filling in the values for slots for instances.
  • We can then create a knowledge base by defining individual instances of these classes filling in specific slot value information and additional slot restrictions.
  • Slots describe properties of classes and instances:
  • some fundamental rules in ontology design
  • There is no one correct way to model a domain— there are always viable alternatives. The best solution almost always depends on the application that you have in mind and the extensions that you anticipate. 2)      Ontology development is necessarily an iterative process. 3)      Concepts in the ontology should be close to objects (physical or logical) and relationships in your domain of interest. These are most likely to be nouns (objects) or verbs (relationships) in sentences that describe your domain.
  • how detailed or general the ontology is going to be
  • what we are going to use the ontology for
  • concepts in the ontology must reflect this reality
  • We suggest starting the development of an ontology by defining its domain and scope. That is, answer several basic questions: �         What is the domain that the ontology will cover? �         For what  we are going to use the ontology? �         For what types of questions the information in the ontology should provide answers? �         Who will use and maintain the ontology?
  • plan to use
  • domain
  • If the people who will maintain the ontology describe the domain in a language that is different from the language of the ontology users, we may need to provide the mapping between the languages.
  • One of the ways to determine the scope of the ontology is to sketch a list of questions that a knowledge base based on the ontology should be able to answer, competency questions
  • These competency questions are just a sketch and do not need to be exhaustive.
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

The New Normal in Funding University Science | Issues in Science and Technology - 1 views

  • Government funding for academic research will remain limited, and competition for grants will remain high. Broad adjustments will be needed
  • he sequester simply makes acute a chronic condition that has been getting worse for years.
  • the federal budget sequester
  • ...72 more annotations...
  • systemic problems that arise from the R&D funding system and incentive structure that the federal government put in place after World War II
  • Researchers across the country encounter increasingly fierce competition for money.
  • unding rates in many National Institutes of Health (NIH) and National Science Foundation (NSF) programs are now at historical lows, declining from more than 30% before 2001 to 20% or even less in 2011
  • even the most prominent scientists will find it difficult to maintain funding for their laboratories, and young scientists seeking their first grant may become so overwhelmed that individuals of great promise will be driven from the field
  • anxiety and frustration
  • The growth of the scientific enterprise on university campuses during the past 60 years is not sustainable and has now reached a tipping point at which old models no longer work
  • Origins of the crisis
  • ederal funding agencies must work with universities to ensure that new models of funding do not stymie the progress of science in the United States
  • The demand for research money greatly exceeds the supply
  • the demand for research funding has gone up
  • The deeper sources of the problem lie in the incentive structure of the modern research university, the aspirations of scientists trained by those universities, and the aspirations of less research-intensive universities and colleges across the nation
  • competitive grants system
  • if a university wants to attract a significant amount of sponsored research money, it needs doctoral programs in the relevant fields and faculty members who are dedicated to both winning grants and training students
  • The production of science and engineering doctorates has grown apace
  • Even though not all doctorate recipients become university faculty, the size of the science and engineering faculty at U.S. universities has grown substantially
  • proposal pressure goes up
  • These strategies make sense for any individual university, but will fail collectively unless federal funding for R&D grows robustly enough to keep up with demand.
  • At the very time that universities were enjoying rapidly growing budgets, and creating modes of operation that assumed such largess was the new normal, Price warned that it would all soon come to a halt
  • the human and financial resources invested in science had been increasing much faster than the populations and economies of those regions
  • growth in the scientific enterprise would have to slow down at some point, growing no more than the population or the economy.
  • Dead-end solutions
  • studies sounded an alarm about the potential decline in U.S. global leadership in science and technology and the grave implications of that decline for economic growth and national security
  • Although we are not opposed to increasing federal funding for research, we are not optimistic that it will happen at anywhere near the rate the Academies seek, nor do we think it will have a large impact on funding rates
  • universities should not expect any radical increases in domestic R&D budgets, and most likely not in defense R&D budgets either, unless the discretionary budgets themselves grow rapidly. Those budgets are under pressure from political groups that want to shrink government spending and from the growth of spending in mandatory programs
  • The basic point is that the growth of the economy will drive increases in federal R&D spending, and any attempt to provide rapid or sustained increases beyond that growth will require taking money from other programs.
  • The demand for research money cannot grow faster than the economy forever and the growth curve for research money flattened out long ago.
  • Path out of crisis
  • The goal cannot be to convince the government to invest a higher proportion of its discretionary spending in research
  • Getting more is not in the cards, and some observers think the scientific community will be lucky to keep what it has
  • The potential to take advantage of the infrastructure and talent on university campuses may be a win-win situation for businesses and institutions of higher education.
  • Why should universities and colleges continue to support scientific research, knowing that the financial benefits are diminishing?
  • esearch culture
  • attract good students and faculty as well as raise their prestige
  • mission to expand the boundaries of human knowledge
  • faculty members are committed to their scholarship and will press on with their research programs even when external dollars are scarce
  • training
  • take place in
  • research laboratories
  • it is critical to have active research laboratories, not only in elite public and private research institutions, but in non-flagship public universities, a diverse set of private universities, and four-year colleges
  • How then do increasingly beleaguered institutions of higher education support the research efforts of the faculty, given the reality that federal grants are going to be few and far between for the majority of faculty members? What are the practical steps institutions can take?
  • change the current model of providing large startup packages when a faculty member is hired and then leaving it up to the faculty member to obtain funding for the remainder of his or her career
  • universities invest less in new faculty members and spread their internal research dollars across faculty members at all stages of their careers, from early to late.
    • Tiberius Brastaviceanu
       
      Sharing of resources, see SENSORICA's NRP
  • national conversation about changes in startup packages and by careful consultations with prospective faculty hires about long-term support of their research efforts
  • Many prospective hires may find smaller startup packages palatable, if they can be convinced that the smaller packages are coupled with an institutional commitment to ongoing research support and more reasonable expectations about winning grants.
  • Smaller startup packages mean that in many situations, new faculty members will not be able to establish a functioning stand-alone laboratory. Thus, space and equipment will need to be shared to a greater extent than has been true in the past.
  • construction of open laboratory spaces and the strategic development of well-equipped research centers capable of efficiently servicing the needs of an array of researchers
  • phaseout of the individual laboratory
  • enhanced opportunities for communication and networking among faculty members and their students
  • Collaborative proposals and the assembly of research teams that focus on more complex problems can arise relatively naturally as interactions among researchers are facilitated by proximity and the absence of walls between laboratories.
  • An increased emphasis on team research
  • investments in the research enterprise
  • can be directed at projects that have good buy-in from the faculty
  • learn how to work both as part of a team and independently
  • Involvement in multiple projects should be encouraged
  • The more likely trajectory of a junior faculty member will evolve from contributing team member to increasing leadership responsibilities to team leader
  • nternal evaluations of contributions and potential will become more important in tenure and promotion decisions.
    • Tiberius Brastaviceanu
       
      Need value accounting system
  • relationships with foundations, donors, state agencies, and private business will become increasingly important in the funding game
  • The opportunities to form partnerships with business are especially intriguing
    • Tiberius Brastaviceanu
       
      The problem is to change the model and go open source, because IP stifles other processes that might benefit Universities!!!
  • Further complicating university collaborations with business is that past examples of such partnerships have not always been easy or free of controversy.
  • some faculty members worried about firms dictating the research priorities of the university, pulling graduate students into proprietary research (which could limit what they could publish), and generally tugging the relevant faculty in multiple directions.
  • developed rules and guidelines to control them
  • University faculty and businesspeople often do not understand each other’s cultures, needs, and constraints, and such gaps can lead to more mundane problems in university/industry relations, not least of which are organizational demands and institutional cultures
    • Tiberius Brastaviceanu
       
      Needs for mechanisms to govern, coordinate, structure an ecosystem -See SENSORICA's Open Alliance model
  • n addition to funding for research, universities can receive indirect benefits from such relationships. High-profile partnerships with businesses will underline the important role that universities can play in the economic development of a region.
  • Universities have to see firms as more than just deep pockets, and firms need to see universities as more than sources of cheap skilled labor.
  • foundations or other philanthropy
  • We do not believe that research proposed and supervised by individual principal investigators will disappear anytime soon. It is a research model that has proven to be remarkably successful and enduring
  • However, we believe that the most vibrant scientific communities on university and college campuses, and the ones most likely to thrive in the new reality of funding for the sciences, will be those that encourage the formation of research teams and are nimble with regard to funding sources, even as they leave room for traditional avenues of funding and research.
Tiberius Brastaviceanu

Designing the Void | Management Innovation eXchange - 0 views

    • Tiberius Brastaviceanu
       
      This is about self-organization, putting in place bounderies and internal mechanisms to make the the system self-organize into something desirable.  You can see this from a game theory perspective - how to set a game which will drive a specific human behavior. 
    • Tiberius Brastaviceanu
       
      This is about self-organization, putting in place bounderies and internal mechanisms to make the the system self-organize into something desirable.  You can see this from a game theory perspective - how to set a game which will drive a specific human behavior. 
    • Tiberius Brastaviceanu
       
      Very similar to SENSORICA, an environment of entrepreneurs. The argument against this is that not everyone is a risk taker or has initiative. The answer to it is that not every role in the organization requires that. 
    • Tiberius Brastaviceanu
       
      Very similar to SENSORICA, an environment of entrepreneurs. The argument against this is that not everyone is a risk taker or has initiative. The answer to it is that not every role in the organization requires that. 
  • The system is not made up of artifacts but rather an elegantly designed void. He says “I prefer to use the analogy of rescuing an endangered species from extinction, rather than engaging in an invasive breeding program the focus should be on the habitat that supports the species. Careful crafting of the habitat by identifying the influential factors; removing those that are detrimental, together with reinforcing those that are encouraging, the species will naturally re-establish itself. Crafting the habitat is what I mean by designing the void.”
  • ...75 more annotations...
  • It is essential that autonomy is combined with responsibility.
  • staff typically manage the whole work process from making sales, manufacture, accounts, to dispatch
  • they are also responsible for managing their own capitalization; a form of virtual ownership develops. Everything they need for their work, from office furniture to high-end machinery will appear on their individual balance sheet; or it will need to be bought in from somewhere else in the company on a pay-as-you go or lease basis. All aspects of the capital deployed in their activities must be accounted for and are therefore treated with the respect one accords one’s own property.
    • Tiberius Brastaviceanu
       
      So they have a value accounting system, like SENSORICA, where they log "uses" and "consumes". 
    • Tiberius Brastaviceanu
       
      ...
    • Tiberius Brastaviceanu
       
      So they have a value accounting system, like SENSORICA, where they log "uses" and "consumes".  
  • The result is not simply a disparate set of individuals doing their own thing under the same roof. Together they benefit from an economy of scale as well as their combined resources to tackle large projects; they are an interconnected whole. They have in common a brand, which they jointly represent, and also a business management system (the Say-Do-Prove system) - consisting not only of system-wide boundaries but also proprietary business management software which helps each take care of the back-end accounting and administrative processing. The effect is a balance between freedom and constraint, individualism and social process.
  • embodiment of meaning
  • But culture is a much more personal phenomenon
  • Culture is like climate- it does not exist in and of itself- it cannot exist in a vacuum, it must exist within a medium.
  • underlying culture
  • Incompatibility between the presenting culture and the underlying one provide a great source of tension
  • The truth of course is that when tension builds to a critical level it takes just a small perturbation to burst the bubble and the hidden culture reveals itself powered by the considerable pent-up energy.
    • Tiberius Brastaviceanu
       
      SENSORICA had this problem of different cultures, and it caused the 2 crisis in 2014. 
    • Tiberius Brastaviceanu
       
      SENSORICA had this problem of different cultures, and it caused the 2 crisis in 2014. 
  • Consider again the idea that for the health of an endangered species; the conditions in their habitat must be just right. In business, the work environment can be considered analogous to this idea of habitat.
  • A healthy environment is one that provides a blank canvas; it should be invisible in that it allows culture to be expressed without taint
  • The over-arching, high-level obligations are applied to the organization via contractual and legal terms.
  • But it is these obligations that the traditional corporate model separates out into functions and then parcels off to distinct groups. The effect is that a clear sight of these ‘higher’ obligations by the people at the front-end is obstructed. The overall sense of responsibility is not transmitted but gets lost in the distortions, discontinuities and contradictions inherent in the corporate systems of hierarchy and functionalization.
  • employees are individually rewarded for their contribution to each product. They are not “compensated” for the hours spent at work. If an employee wants to calculate their hourly rate, then they are free to do so however, they are only rewarded for the outcome not the duration of their endeavors.
  • Another simplification is the application of virtual accounts (Profit and Loss (P&L) account and Balance Sheet) on each person within the business.
  • The company systems simply provide a mechanism for cheaply measuring the success of each individual’s choices. For quality the measure is customer returns, for delivery it is an on-time-and-in-full metric and profit is expressed in terms of both pounds sterling and ROI (return on investment).
    • Tiberius Brastaviceanu
       
      They have a value accounting system. 
    • Tiberius Brastaviceanu
       
      They have a value accounting system. 
  • The innumerable direct links back to an external reality -like the fragile ties that bound giant Gulliver, seem much more effective at aligning the presenting culture and the underlying embodied culture, and in doing so work to remove the existing tension.
  • With a culture that responds directly to reality, the rules in the environment can be “bounding” rather than “binding”- limiting rather than instructive; this way individual behavior need not be directed at all. The goal is to free the individual to express himself fully through his work, bounded only by the limits of the law. With clever feedback (self-referencing feedback loops) integrated into the design, the individuals can themselves grow to collectively take charge of the system boundaries, culture and even the environment itself, always minded of the inherent risks they are balancing, leaving the law of the land as the sole artificial boundary.
  • the conventional company, which, instead of rewarding enterprise, trains compliance by suppressing individual initiative under layer upon layer of translation tools.
  • apply accountability to the individual not command-and-control.
  • without the divisive and overbearing management cabal the natural reaction of humans is to combine their efforts
  • a new member of staff at Matt Black Systems
  • recruited by another staff member (sponsor) and they will help you learn the basics of the business management system- they will help you get to know the ropes.
  • jobs are passed to new staff members, a royalty payment can be established on the work passed over.
  • Along with that job you will be given a cash float (risk capital), P&L Account, a Balance Sheet and computer software to help plan and record your activities. Your operation is monitored by your sponsor to see if you increase the margin or volume, and so establish a sustainable operation. Training and mentoring is provided to support the steep learning curve - but without removing the responsibility of producing a return on the sponsor’s risk capital.
  • You will, in the meantime be looking to establish some of your own work for which you will not have to pay a commission or royalty to your sponsor and this will provide you with more profitable operations such that eventually you might pass back to the sponsor the original operation, as it has become your lowest margin activity. It will then find its way to a new employee (along with the associated Balance Sheet risk capital) where the process is repeated by the sponsor.[4]
  • Remuneration for staff is calibrated in a way that reflects the balance of different forces around ‘pay’
  • there is an obligation upon the company to pay a minimum wage even if the profitability of the operation does not support this
  • there are therefore two aspects of the basic pay structure: one is “absolute” and reflects the entrepreneurial skill level of the employee according to a sophisticated grading scale
  • A further 20% of the original profit will be paid into his risk capital account, which will be his responsibility to deploy in any way he sees fit as part of his Balance Sheet. Of the three remaining 20% slices of the original profit, one is paid out as corporation tax, another as a dividend to the shareholders and the last retained as collective risk capital on the company’s balance sheet- a war chest so to speak.
  • Julian Wilson and Andrew Holm sell products / services to their staff (such as office space and software) they have an identical customer/supplier relationship with the other employees.
  • Naturally there are some people that can’t generate a profit. The sponsor’s risk capital will eventually be consumed through pay. After a process of rescue and recovery- where their shortcomings are identified and they are given the opportunity to put them right, they either improve or leave, albeit with a sizeable increase in their skills.
  • there is a gradual process of accustomisation; the void of the new employee is surrounded by others dealing with their particular activities, offering both role models and operations they may wish to relinquish. One step at a time the new employee acquires the skills to become completely self-managing, to increase their margins, to make investments, to find new business, to become a creator of their own success. Ultimately, they learn to be an entrepreneur.
  • responsible autonomy as an alternative vision to traditional hierarchy
  • Matt Black Systems it is not simply commitment that they targeted in their employees, rather they aim for the specific human qualities they sum up as magic- those of curiosity, imagination, creativity, cooperation, self-discipline and realization (bringing ideas to reality).
  • a new form of association of individuals working together under the umbrella of a company structure: a kind of collective autonomy
  • The business is called Matt Black Systems, based in Poole in dorset
  • Turning an organisation on its head- removing all management, establishing a P&L account and Balance Sheet on everyone in the organisation and having customers payment go first into the respective persons P&L account has revolutionised this company. 
  • This innovative company’s approach views business success as wholly reliant upon human agency, and its wellspring at the individual level.
  • problem (of unnecessarily high overheads placed on production) that arguably is behind the decline in western manufacturing
  • over-managed business
  • Autonomy Enables Productivity
  • organizational design brings to light the unconscious socio-philosophical paradigm of the society in which it exists, organizational development points to how change occurs.
  • a mechanistic approach to organization
  • scientific management employs rationalism and determinism in pursuit of efficiency, but leaves no place for self-determination for most people within the system.
  • Command and Control
  • today, a really “modern” view of an organization is more likely to be depicted in terms that are akin to an organism.
  • When it comes to getting work done, the simple question is: are people the problem or the solution?
  • the Taylorist approach may be more real in theory than in practice: its instrumentalist view of the workforce is cursed by unintended consequences. When workers have no space for their own creative expression, when they are treated like automata not unique individuals, when they become demotivated and surly, when they treat their work as a necessary evil; this is no recipe for a functional organization.
  • The natural, human reaction to this is unionization, defiance and even outright rebellion; to counter this, management grows larger and more rigid in pursuit of compliance, organizations become top heavy with staff who do not contribute directly to the process of value creation but wield power over those who do.
  • voluntary slavery of ‘wagery’
  • Even when disgruntled employees strike free and start their own businesses they seem unable to resist the hegemony of the conventional command-and-control approach
  • Making the transition involves adherence to a whole new sociology of work with all the challenging social and psychological implications that brings.
  • first principal that people in the business have the ability to provide the solution
  • In the “theory of constraints” the goal is to align front-line staff into a neat, compact line for maximum efficiency. Surely the most considered approach is to have front-line staff self-align in pursuit of their individual goals?
  • The removal of hierarchy and specialization is key to a massive improvement in both profitability and productivity. In summary: there are no managers in the company, or foremen, or sales staff, or finance departments; the company is not functionally compartmentalized and there is no hierarchy of command. In fact every member of staff operates as a virtual micro-business with their own Profit & Loss account and Balance Sheet, they manage their own work and see processes through from end to end
  • Formal interaction between colleagues takes place via “customer and supplier” relationships.
  • autonomy enables productivity
  • if one creates a space in which staff pursue their own goals and are not paid by the hour, they will focus on their activities not the clock; if they are not told what to do, they will need to develop their own initiative; if they are free to develop their own processes, they will discover through their own creative faculties how to work more productively- in pursuit of their goals
  • The human qualities which are of greatest potential value to the business are: curiosity, imagination, creativity, cooperation, self-discipline and realization (bringing ideas to reality)
  • These qualities are the very ones most likely to be withheld by an individual when the environment is ‘wrong’.
  • Any elements in the business environment that undermine the autonomy and purpose of the individual will see the above qualities withheld
  • High on the list of undermining elements come power-hierarchy and over-specialization
  • the responsibility of the individual is formalized, specified and restricted. An improved system is not one where responsibility is distributed perfectly but rather one where there is simply no opportunity for responsibility to be lost (via the divisions between the chunks). Systems must be reorganized so responsibility -the most essential of qualities -is protected and wholly preserved.
  • Matt Black Systems believe this can only be done by containing the whole responsibility within an individual, holding them both responsible and giving them ‘response-ability’
  • The experience of Matt Black Systems demonstrates that radical change is possible
  • productivity is up 300%, the profit margin is up 10%[3], customer perception has shifted from poor to outstanding, product returns are at less than 1%, “on time and in full” delivery is greater than 96%, pay has increased 100%.
  • staff develop broader and deeper skills and feel greater job security; they get direct feedback from their customers which all go to fuel self-confidence and self-esteem.
  • the staff manage themselves
  • “only variety can absorb variety”.
  • What is particular about their story is that behind it is a very consciously crafted design that surrounds the individualism of each person with hard boundaries of the customer, the law and the business. It is these boundaries rather than the instructive persona of ‘the boss’ that gives rise to the discipline in which individuals can develop. Autonomy is not the same as freedom, at least not in the loose sense of ‘do as you please’. An autonomous person is a person who has become self-governing, who has developed a capacity for self-regulation, quite a different notion from the absence of boundaries. Indeed, it is with establishing the right boundaries that the business philosophy is most concerned. The company provides the crucible in which the individual can develop self-expression but the container itself is bounded. Wilson calls this “designing the void”. This crucible is carefully constructed from an all-encompassing, interconnecting set of boundaries that provide an ultimate limit to behaviours (where they would fall foul of the law or take risks with catastrophic potential). It is an illusion to think, as a director of a company, that you are not engaged in a process of social conditioning; the basis of the culture is both your responsibility and the result of your influence. The trick is to know what needs to be defined and what needs to be left open. The traditional authoritarian, controlling characters that often dominate business are the antithesis of this in their drive to fill this void with process, persona and instruction. Alternatively, creating an environment that fosters enterprise, individuals discover how to be enterprising.
Tiberius Brastaviceanu

How The Blockchain Will Transform Everything From Banking To Government To Our Identities - 1 views

  • The first generation of the Internet was a great tool for communicating, collaborating and connecting online, but it was not ideal for business. When you send and share information on the Internet, you’re not sending an original but a copy. That’s good for information — it means people have a printing press for information and that information becomes democratized — but if you want to send an asset, it’s a problem. If I send you $100 online, you need to be sure you have it and I don’t, and that I can’t spend the same $100 somewhere else. As a result, we need intermediaries to perform critical roles — to establish identity between two parties in a transaction, and to do all the settlement transaction logic, which includes record-keeping.
  • With blockchain, for the first time, we have a new digital medium for value where anyone can access anything of value — stocks, bonds, money, digital property, titles, deeds — and even things like identity and votes can be moved, stored and managed securely and privately. Trust is not established though a third party but with clever code and mass consensus using a network. That’s got huge implications for intermediaries and businesses and society at large
  • And also with government, as a central repository of information an entity that delivers services.
  • ...35 more annotations...
  • There’s an opportunity to disrupt how those organizations work. Intermediaries, though they do a good job, have a few problems — they’re centralized, which makes them vulnerable to attack or failure
  • They tax the system
  • They capture data
  • They exclude billions of people from the global economy
  • internet of value
  • With blockchain, we can go from redistributing wealth to distributing value and opportunity value fairly a priori, from cradle to grave.
  • creating a true sharing economy by replacing service aggregators like Uber with distributed applications on the blockchain
  • unleashing a new age of entrepreneurship
  • build accountable governments through transparency, smart contracts and revitalized models of democracy.
  • The virtual you is owned by large intermediaries
  • This virtual you knows more about you than you do sometimes
  • So there’s a strange phenomenon from the first generation of the Internet where the most important asset class that’s been created is data —and we don’t control it or own it.
  • individuals taking back their identity through your own personal avatar
  • The financial services industry
  • antiquated
  • a complicated machine that does a simple thing
  • settlement
  • an opportunity to profoundly change the nature of the entire industry. The Starbucks transaction should be instant.
  • At the heart of it, the financial services industry moves value.
  • so this is both an existential threat to the financial services industry and an historic opportunity.
  • Banks trade on trust
  • Within the decade, every single financial asset, which is really just a contract
  • will all move to a blockchain-based format
  • In the accounting world, a lot of firms rely on costly audits to drive their profits
  • With blockchain, you could have a third entry time-stamped in a distributed ledger that could be acceptable to any relevant stakeholders from regulators to shareholders, giving you a perfect record of the truth and thus the financial health of an organization.
  • Nobel-winning economist Ronald Coase argued that firms exist because transaction costs in an open market are greater than the cost of doing things inside the boundaries of the corporation.
  • four costs — of search, coordination, contracting and establishing trust
  • Blockchains will profoundly affect all of these.
  • you can now synthesize trust on an open platform and people who’ve never met can trust each other to do certain things. So this results in a whole number of new business models
  • It turns out the Internet of Everything needs a Ledger of Everything, because a lightbulb buying power from your neighbor’s solar panel definitely won’t use banks or the Visa network
  • Right now, governments take tax revenue from corporations, individuals, licenses and so on. All of that can change. We can first of all have transparency in a radical sense because sunlight is the best disinfectant. Secondly, we can open up governments in a different sense of sharing data.
  • governments can enable self-organization to occur in society where companies, civil society organizations, NGOs, academics, foundations, and government agencies and individual citizens ought to use this data to self-organize and create what we used to call services or forms of public value. The third one has to do with the relationship between citizens and their governments.
  • There are more opportunities to create government by the people for the people
  • Electronic voting won’t be delivered by traditional server technology because it won’t be trusted by citizens
Kurt Laitner

Forget the Foundations - In These Times - 0 views

  • Their “actions” didn’t involve writing grant proposals, discussing their concerns with a board of directors or contacting state agencies. They tested water samples themselves, and, in 1979, produced a study revealing high levels of radioactive contamination, a high percentage of pregnancies complicated by excessive bleeding or terminated in abortion and large numbers of children born with birth defects. Despite their work, the Centers for Disease Control and Indian Health Services discredited the study, and WARN wasn’t vindicated until the South Dakota School of Mines substantiated their claims that same year.
  • But unlike Erin Brockovich, this tale of local activists fighting against faceless institutions doesn’t have a happy ending: The Nuclear Regulatory Commission simply raised the level of “acceptable contamination,” and Indian Health Services started providing bottled water in one area. Congress authorized a new water pipeline to the reservation in 2002–only to have the funding diverted by the financial demands of the wars in Iraq and Afghanistan.
  • who defer responsibility onto do-nothing organizations, only later to complain about their lack of agency
  • ...12 more annotations...
  • that foundations perpetuate First World interests and free-market capitalism, thus preserving many of the problems radical activists wish to eradicate, such as the unregulated concentration of wealth.
  • Foundations were created in the early 20th century by multimillionaire robber barons, such as John D. Rockefeller and Andrew Carnegie, to evade corporate and estate taxes.
  • foundations divert money away from the collective tax base
  • who are more interested in supporting milquetoast reformers than social-justice organizations
  • federal and state funding for education and healthcare has shrunk
  • This is a culture of noblesse oblige, Ahn writes, where the “privileged are obliged to help those less fortunate, without examining how that wealth was created or the dangerous implications of conceding such power to the wealthy.”
  • is the power those with money wield over community leaders.
  • consequently realigning their interests (i.e., maintaining their jobs) with maintaining the system
  • This allegiance keeps community leaders from challenging the root causes of social inequities–the social-change work–at the same time that they pedal to keep up by providing for the needs of individuals devastated by institutional exploitation.
  • Kivel concedes this is valuable work, but points out the inherent injustice of this paradigm: “When temporary shelter becomes a substitute for permanent housing, emergency food a substitute for a decent job … we have shifted our attention from the redistribution of wealth to the temporary provision of social services to keep people alive.”
  • University of Southern California Professor Ruth Wilson Gilmore urges contemporary grassroots activists to stop seeking a “pure way of doing things.” “Many are looking for an organizational structure and a resource capability that will somehow be impervious to co-optation,”
  • transitioning from foundation support to a volunteer collective reliant solely on grassroots dollars
Tiberius Brastaviceanu

Open Collaboration - The Next Economic Paradigm - 0 views

  • we’re in the midst of a collapsing paradigm
  • to be replaced by something new
  • I will explain what the new paradigm
  • ...40 more annotations...
  • business
  • government
  • education
  • research
  • The old economic paradigm was a service economy built on the digital communications revolution that began in the early 1970′s.
  • financial capital has decoupled from productive capital
  • financial meltdown
  • major societal institutions have stalled
  • the funding models
  • no longer work properly
  • The new model is the Open Collaboration Paradigm
  • we will see a radical departure from old institutional models.
  • social capital is increasingly recognized
  • generating wealth for society
  • This will be a profoundly social economy, built on unprecedented capabilities to self-organize people and resources in the crowd.
  • Social media
  • connect ideas, people, and institutions
  • blur the inside/outside distinctions
  • Network connections
  • radical transparency will be the new norm
  • Another profound shift will occur in the realm of ownership
  • No longer
  • viable
  • to horde intellectual property
  •  Collaborative consumption will arise as a more robust business paradigm,
  • risk is distributed
  • implications for business
  •  Those who can leverage the wisdom of crowds for market research, product development, and efficient resource allocation will be more adept and agile in the face of rapid change.
  • Those who build walls around themselves will fail to tap into the flow of knowledge and resources running rampant in the crowd
  • governments will have to become more transparent and responsive to their citizens
  • information becomes more immersive and dynamic
  • Research has already begun to use open collaboration that goes beyond the halls of academia.
  • collaborative approach to research will become the norm,
  • The era of “user generated content” and “prosumption” — where consumers of goods and services co-create what they will consume — is now a decade along in its evolution.  We will increasingly see collaborative design and production of consumables across society.
  • In the education arena, we will see more curricula as shareware and an increased emphasis on multi-perspective teamwork as the necessary skills for engaging in collaborative projects.
  • Expert/amateur boundaries have already blurred to the point where individuals can acquire graduate-level knowledge through self-directed learning on the internet.
  • distance learning
  •  Lifetime learning
  • active pedagogy
  • So get ready for the new economic paradigm.
1 - 11 of 11
Showing 20 items per page