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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.
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  • At the heart of Movenbank is a concept call CRED.
  • 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.
  • 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?
  • "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.
  • 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."
  • 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
  • trusted to pay on time
  • 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.
Kurt Laitner

Guidelines on Measuring Subjective Well-being.pdf - 0 views

  • such as interest,engagement and meaning,
  • subjective well-being is taken to be:2Good mental states, including all of the various evaluations, positive and negative, that peoplemake of their lives, and the affective reactions of people to their experiences
  • “subjective well-being is an umbrella term for the different valuationspeople make regarding their lives, the events happening to them, their bodies and minds,and the circumstances in which they live”.
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  • In measuring overall human well-being then, subjective well-being should be placedalongside measures of non-subjective outcomes, such as income, health, knowledge andskills, safety, environmental quality and social connections
  • Inparticular, a distinction is commonly made between life evaluations, which involve acognitive evaluation of the respondent’s life as a whole (or aspects of it), and measures ofaffect, which capture the feelings experienced by the respondent at a particular point in time(Diener, 1984; Kahneman et al., 1999
  • eudaimonic aspect ofsubjective well-being, reflecting people’s sense of purpose and engagement
  • The framework used here covers all three concepts of well-being:●Life evaluation.●Affect.●Eudaimonia (psychological “flourishing”)
  • the result of a judgement by the individual rather than thedescription of an emotional state.
  • Elements of subjective well-beingLife evaluation
  • making an evaluation of this sort as involving the individual constructing a “standard” thatthey perceive as appropriate for themselves, and then comparing the circumstances oftheir life to that standard
  • Life evaluations are based on how people remember their experiences (Kahneman et al.,1999) and can differ significantly from how they actually experienced things at the time
  • It is for this reason that life evaluations are sometimes characterised as measures of“decision utility” in contrast to “experienced utility”
  • One of the mostwell documented measures of life evaluation – thePersonal Wellbeing Index– consists of eightquestions, covering satisfactions with eight different aspects of life, which are summedusing equal weights to calculate an overall index (International Wellbeing Group, 2006)
  • (job satisfaction, financial satisfaction, house satisfaction, healthsatisfaction, leisure satisfaction and environmental satisfaction),
  • AffectAffect is the term psychologists use to describe a person’s feelings. Measures of affectcan be thought of as measures of particular feelings or emotional states, and they aretypically measured with reference to a particular point in time.
  • Such measures capturehow people experience life rather than how they remember it (Kahneman and Krueger,2006
  • While an overall evaluation of life can be captured in a single measure, affect has atleast two distinct hedonic dimensions: positive affect and negative affect (Kahneman et al.,1999; Diener et al., 1999
  • positive affect is thought to be largely uni-dimensional
  • negative affect may be more multi-dimensional.
Francois Bergeron

Thinking Space: We are in a new transition, part 2 - 3 views

  • Modern education is a typical effort that people are trying to make a product line of high-quality mind asset.
  • Without explicit, formal presentation of mind asset, we cannot efficiently connect and compose varied mind asset and we cannot well measure the value of mind asset. The issue of mind aggregation is particularly critical because individual mind is often too shallow to be high quality.
  • There is a natural gap between the presented value of the mind asset in the book and the real value of the mind asset in real world. This gap of knowledge understanding is a typical difficulty of mind asset measurement.
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  • Because of the Web, the first time in history human mind becomes a critical circulating asset in society that ordinary people can buy, sell, produce, and share.
  •  
    proposed by Kurt
Francois Bergeron

NSERC - Collaborative Research and Development (CRD) Grants - 0 views

  • Objectives The Collaborative Research and Development (CRD) Grants are intended to give companies that operate from a Canadian base access to the unique knowledge, expertise, and educational resources available at Canadian postsecondary institutions and to train students in essential technical skills required by industry. The mutually beneficial collaborations are expected to result in industrial and/or economic benefits to Canada.
Tiberius Brastaviceanu

A Value Net Approach white paper - 3 views

    • Tiberius Brastaviceanu
       
      I don't believe in the knowledge economy, I think we are moving towards a know how ecnomy
Tiberius Brastaviceanu

In networks, cooperation trumps collaboration | Harold Jarche - 0 views

  • Collaboration happens around some kind of plan or structure
  • cooperation presumes the freedom of individuals to join and participate
  • Cooperation is a driver of creativity
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  • use networks as our primary form of living and working
  • Tribal; Institutional; Markets; Networks
  • how we have evolved as a civilisation
  • network
  • a form in itself that can address issues that the three other forms could not
  • Chaordic refers to a system of governance that blends characteristics of chaos and order.
  • Wirearchy: a dynamic multi-way flow of power and authority based on information, knowledge, trust and credibility, enabled by interconnected people and technology.
  • Collaboration is only part of working in networks
  • Cooperation is also necessary, but it’s much less controllable than our institutions, hierarchies and HR practices would like to admit.
  • In networks, cooperation trumps collaboration
Yasir Siddiqui

Pocket drone - 1 views

  •  
    It might be interesting knowledge and connection for the drone project. It is unclear if they are open-source
Kurt Laitner

Research Positions for the Transition Towards a Open Commons-Based Knowledge Society in... - 1 views

  •  
    Anybody have a phd and want a dream job creating the new economic paradigm? I'm short a few degrees, sadly
Tiberius Brastaviceanu

From Diigo - SENSORICA - 0 views

  • From our Diigo knowledge base
Tiberius Brastaviceanu

Action (Stanford Encyclopedia of Philosophy) - 0 views

  • intentionally
  • questions about the nature, variety, and identity of action
  • Should we think of the consequences, conventional or causal, of physical behavior as constituents of an action distinct from but ‘generated by’ the movement? Or should we think that there is a single action describable in a host of ways?
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  • Donald Davidson
  • an action
  • is something an agent does that was ‘intentional under some description,’
  • there have been many attempts to map the relations between intentions for the future, acting intentionally, and acting with a certain intention.
  • There has been a notable or notorious debate about whether the agent's reasons in acting are causes of the action
  • rendered the action intelligible in his eyes
  • things that merely happen
  • things they genuinely do
  • distinction between
  • the doings, are the acts or actions of the agent
  • what distinguishes an action from a mere happening or occurrence?
  • An agent performs activity that is directed at a goal
  • adopted on the basis of an overall practical assessment of his options and opportunities
  • awareness
  • that he is performing the activity
  • and that the activity is aimed by him at such-and-such a chosen end
  • It is frequently noted that the agent has some sort of immediate awareness of his physical activity and of the goals that the activity is aimed at realizing.
  • ‘knowledge without observation.’
  • It is also important to the concept of ‘goal directed action’ that agents normally implement a kind of direct control or guidance over their own behavior.
  • For many years, the most intensely debated topic in the philosophy of action concerned the explanation of intentional actions in terms of the agent's reasons for acting
  • Davidson and other action theorists defended the position that reason explanations are causal explanations
  • In the foregoing, reference has been made to explanations of actions in terms of reasons, but recent work on agency has questioned whether contemporary frameworks for the philosophy of action have really articulated the way in which an agent's desires and other pro-attitudes have the distinctive force of reasons in the setting of these ordinary explanations
Tiberius Brastaviceanu

Google Apps Script - introduction - 0 views

  • Use the Script Editor to write and run scripts, to set triggers, and to perform other actions such as sharing scripts.
  • start the Script Editor from a Google Site
  • declares a function called myFunction()
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  • You can perform the following tasks from the Script Editor.
  • pening, deleting, renaming, and saving scripts
  • Cutting, copying, and pasting text
  • Find and replace
  • Setting a time zone
  • scripts with time-based triggers
  • Running functions
  • Viewing log messages
  • revision history
  • write pseudocode first
  • When you're planning a script
  • narrative version of what the script needs to do.
  • A particular script is associated with one and only one Google Spreadsheet.
  • If you make a copy of the Spreadsheet, the script is also copied.
  • A particular Spreadsheet can have multiple scripts associated with it.
  • use the onOpen event handler in more than one script associated with a particular Spreadsheet, all scripts begin to execute when you open the Spreadsheet and the order in which the scripts are executed is indeterminate.
  • event handler is a function executed when a particular event takes place.
  • see Running Scripts in Response to an Event.
  • A script cannot currently call or create another script and cannot call functions in another script.
  • If you want to store the results of a function, you must copy them into a spreadsheet cell.
  • You can trigger Apps Script events from links that are embedded in a Google Site. For information about how to do this, see Using Apps Scrip in Your Ssite.
  • You can insert a script into a Site as a gadget.
  • you must grant permission for the script to run as a service.
  • You also designate whether only you can invoke the service or whether all members of your domain can invoke the service.
  • you can assign functions within the script any arbitrary name.
  • The instructions in a function must be enclosed within curly braces.
  • event handler
  • when a spreadsheet is opened,
  • when a script is installed
  • when a spreadsheet is edited
  • at times you choose
  • menu item
  • Using a drawing or button embedded in a Spreadsheet
  • Using a custom function that is referenced as a Spreadsheet function
  • Clicking the Run button
  • object-oriented programming languages
  • Google Apps Script uses the JavaScript language.
  • Operations
  • are performed using the objects and methods described in the API documentation.
  • An API provides pre-packaged code for standard tasks you need to accomplish in scripts or programs.
  • API includes objects that you use to accomplish tasks such as sending email, creating calendar entries
  • A method describes the behavior of an object and is a function attached to an object.
  • MailApp
  • use to create and send email
  • To send email, you invoke the sendEmail method and provide values for the method arguments.
  • Google Apps Script can access or retrieve data in different formats in different ways.
  • A custom function
  • is called directly from a cell in a Spreadsheet using the syntax =myFunctionName()
  • they cannot set values outside the cells
  • have some restrictions not shared by other functions
  • cannot send email
  • cannot operate on a Google Site
  • cannot perform any operations that require user authorization
  • cannot perform any operations that require knowledge of who the user
  • onInstall function
  • onOpen function
  • Other functions run when you run them manually or when they are triggered by clicking
  • Custom functions and formulas in the spreadsheet execute any time the entire Spreadsheet is evaluated or when the data changes in the function or formula's cell.
  • share the Spreadsheet
  • publish the script to the Script Gallery
  • spreadsheet template
  • the color coding for that line will not be correct
  • A script with incorrect syntax or other errors does not run.
  • The Script Editor includes a debugger.
  • view the current state of variables and objects created by a script while that script runs.
  • step through the code line by line as it executes or set breakpoints
  • The debugger does not work with custom functions, onEdit functions, event triggers, or scripts running as a service.
  • use the debugger to find errors in scripts that are syntactically correct but still do not function correctly.
  • Functions ending in an underscore (_), for example, internalStuff_(), are treated differently from other functions. You do not see these function in the Run field in the Script Editor and they do not appear in the Script Manager in the Spreadsheet. You can use the underscore to indicate that users should not attempt to run the function and the function is available only to other functions.
Tiberius Brastaviceanu

Holacracy - P2P Foundation - 2 views

  •  
    Holacracy  = An organizational governance system 
Tiberius Brastaviceanu

Proposal - Food SFS-08-2014 - 1 views

  • development of more resource-efficient and sustainable food production and processing
  • competitive and innovative
    • Tiberius Brastaviceanu
       
      We are proposing collaborative ways, here the accent is put on competitive ways 
    • Tiberius Brastaviceanu
       
      We are proposing collaborative methods. Here, the accent is put on COMPETITIVE ways for a "sustainable circular economy"
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  • reduction in water and energy use
  • gas emissions and waste generation
  • improving the efficiency
  • ensuring or improving shelf life, food safety and quality
  • competitive eco-innovative processes should be developed
  • sustainable circular economy
  • Intellectual Property (IP)
  • In phase 1, a feasibility study
  • technological/practical as well as economic viability of an innovation idea/concept with considerable novelty to the industry sector
  • to establish a solid high-potential innovation project
  • increase profitability of the enterprise through innovation
  • increase the return in investment in innovation activities
  • The proposal should contain an initial business plan based on the proposed idea/concept.
  • apply to phase 1 with a view to applying to phase 2 at a later date, or directly to phase 2.
  • EUR 50,000. Projects should last around 6 months
    • Tiberius Brastaviceanu
       
      Phase 1 has a classical language. We would need to mask our true identity and beliefs writing this grant proposal. I don't think it's for us... But this is only my opinion. 
  • In phase 2, innovation projects will be supported that address the specific challenge of Sustainable Food Security
  • demonstrate high potential in terms of company competitiveness and growth underpinned by a strategic business plan
    • Tiberius Brastaviceanu
       
      This is more about individual companies and their competitive advantage. Not about networks and not about collaboration and sharing. 
    • Tiberius Brastaviceanu
       
      Moreover, they put emphasis on IP protection and ownership, when we must talk about commons, knowledge commons applied to agriculture, sharing platforms, etc. 
  • Proposals shall be based on an elaborated business plan either developed through phase 1 or another means.
  • Particular attention must be paid to IP protection and ownership
  • Successful beneficiaries will be offered coaching and mentoring support during phase 1 and phase 2.
  • Enhancing profitability
  • competitive solutions
  • global business opportunities
  • sustainable
  • turnover
  • IP management
  • return on investment and profit
Tiberius Brastaviceanu

ICT-37-2014 - 0 views

  • provide support to a large set of early stage high risk innovative SMEs in the ICT sector
  • Focus will be on SME proposing innovative ICT concept, product and service applying new sets of rules, values and models which ultimately disrupt existing markets.
  • disruptive ideas
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  • prototyping
  • validation and demonstration
  • deployment
  • Proposed projects should have a potential for disruptive innovation and fast market up-take in ICT.
  • interesting for entrepreneurs and young innovative companies
  • bearing a strong EU dimension.
  • Participants can apply to Phase 1 with a view to applying to Phase 2 at a later date, or directly to Phase 2.
  • In phase 1, a feasibility study
  • services and technologies or new market applications of existing technologies
  • Intellectual Property (IP) management
  • increase profitability
  • The proposal should contain an initial business plan based on the proposed idea/concept.
  • EUR 50.000. Projects should last around 6 months
    • Tiberius Brastaviceanu
       
      I don't understand why they call it Open (ODI) when they also talk about Intellectual Property. 
  • company competitiveness
  • prototyping
  • demonstration
  • readiness and maturity for market introduction
  • may also include some research
  • For technological innovation a Technology Readiness Levels of 6 or above
  • Proposals shall be based on an elaborated business plan
  • Proposals shall contain a specification for the outcome of the project, including a first commercialisation plan, and criteria for success.
    • Tiberius Brastaviceanu
       
      We are not a SME and have no classical commercialization plan. We can form an Exchange Firm for example, and offer services for OVNi for example, helping local food networks, providing them infrastructure. But in that case, the business plan for the Exchange Firm should contain a revenue model. Who is going to pay for the deployment of the OVNi in order to make the Exchange Firm commercially viable in the eyes of the Commission?  
  • coaching and mentoring support during phase 1 and phase 2
  • growth plan and maximising it through internationalisation
  • Enhancing profitability and growth performance of SMEs by combining and transferring new and existing knowledge into innovative, disruptive and competitive solutions
  • Open Disruptive Innovation Scheme
  •  
    "Specific Challenge: The challenge is to provide support to a large set of early stage high risk innovative SMEs in the ICT sector. Focus will be on SME proposing innovative ICT concept, product and service applying new sets of rules, values and models which ultimately disrupt existing markets."
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
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  • 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.
sebastianklemm

TADAMON - Empowerment for Poverty Reduction - 1 views

  •  
    The IsDB-ISFD-NGO Empowerment for Poverty Reduction is a partnership program sponsored by The Islamic Solidarity Fund for Development (ISFD), managed by The Islamic Development Bank (IsDB) and implemented by United Nations Development program (UNDP) and other strategic partners. TADAMON platform is a tool for improving CSOs (Civil Society Organizations) in 57 OIC (Organization of Islamic Cooperation) Member Countries by providing visibility, funding, capacity building and knowledge.
Tiberius Brastaviceanu

Partner State - P2P Foundation - 0 views

    • Tiberius Brastaviceanu
       
      we call this a custodian
    • Tiberius Brastaviceanu
       
      we call this a custodian
  • So here we have it, the new triarchy: - The state, with its public property and representative mechanisms of governance (in the best scenario) - The private sector, with the corporation and private property - The commons, with the Trust (or the for-benefit association), and which is the ‘property’ of all its members (not the right word in the context of the commons, since it has a different philosophy of ownership)
    • Tiberius Brastaviceanu
       
      so where is direct democracy in all this?
  • ...39 more annotations...
  • In a first phase, the commons simply emerges as an added alternative.
  • becoming a subsector of society, and starts influencing the whole
  • phase transition and transformation will need to occur.
  • how a commons-dominated, i.e. after the phase transition, society would look like.
  • At its core would be a collection of commons, represented by trusts and for-benefit associations, which protect their common assets for the benefit of present and future generations
  • The commons ‘rents out’ the use of its resources to entrepreneurs. In other words, business still exists, though infinite growth-based capitalism does not.
  • More likely is that the corporate forms will be influenced by the commons and that profit will be subsumed to other goals, that are congruent with the maintenance of the commons.
  • The state will still exist, but will have a radically different nature
  • Much of its functions will have been taken over by commons institutions, but since these institutions care primarily about their commons, and not the general common good, we will still need public authorities that are the guarantor of the system as a whole, and can regulate the various commons, and protect the commoners against possible abuses. So in our scenario, the state does not disappear, but is transformed, though it may greatly diminish in scope, and with its remaining functions thoroughly democratized and based on citizen participation.
  • In our vision, it is civil-society based peer production, through the Commons, which is the guarantor of value creation by the private sector, and the role of the state, as Partner State, is to enable and empower the creation of common value. The new peer to peer state then, though some may see that as a contradictio in terminis, is a state which is subsumed under the Commons, just as it is now under the private sector. Such a peer to peer state, if we are correct, will have a much more modest role than the state under a classic state society, with many of its functions taken over by civil society associations, interlinked in processes of global governance. The above then, this triarchy, is the institutional core which replaces the dual private-public binary system that is characteristic of the capitalist system that is presently the dominant format.
  • fundamental mission is to empower direct social-value creation, and to focus on the protection of the Commons sphere as well as on the promotion of sustainable models of entrepreneurship and participatory politics
  • the state becomes a 'partner state' and enables autonomous social production.
  • the state does exist, and I believe that we can’t just imagine that we live in a future state-less society
  • retreating from the binary state/privatization dilemma to the triarchical choice of an optimal mix amongst government regulation, private-market freedom and autonomous civil-society projects
  • the role of the state
  • “the peer production of common value requires civic wealth and strong civic institutions.
  • trigger the production/construction of new commons by - (co-) management of complexe resource systems which are not limited to local boundaries or specific communities (as manager and partner) - survey of rules (chartas) to care for the commons (mediator or judge) - kicking of or providing incentives for commoners governing their commons - here the point is to design intelligent rules which automatically protect the commons, like the GPL does (facilitator)"
  • the emergence of the digital commons. It is the experience of creating knowledge, culture, software and design commons, by a combination of voluntary contributions, entrepreneurial coalitions and infrastructure-protecting for-benefit associations, that has most tangibly re-introduced the idea of commons, for all to use without discrimination, and where all can contribute. It has drastically reduced the production, distribution, transaction and coordination costs for the immaterial value that is at the core also of all what we produce physically, since that needs to be made, needs to be designed. It has re-introduced communing as a mainstream experience for at least one billion internet users, and has come with proven benefits and robustness that has outcompeted and outcooperated its private rivals. It also of course offers new ways to re-imagine, create and protect physical commons.
  • stop enclosures
  • peer to peer, i.e. the ability to freely associate with others around the creation of common value
  • communal shareholding, i.e. the non-reciprocal exchange of an individual with a totality. It is totality that we call the commons.
  • It is customary to divide society into three sectors, and what we want to show is how the new peer to peer dynamic unleashed by networked infrastructures, changes the inter-relationship between these three sectors.
  • In the current ‘cognitive capitalist’ system, it is the private sector consisting of enterprises and businesses which is the primary factor, and it is engaged in competitive capital accumulation. The state is entrusted with the protection of this process. Though civil society, through the citizen, is in theory ‘sovereign’, and chooses the state; in practice, both civil society and the state are under the domination of the private sector.
  • it fulfills three contradictory functions
  • Of course, this is not to say that the state is a mere tool of private business.
  • protect the whole system, under the domination of private business
  • protector of civil society, depending on the balance of power and achievements of social movements
  • protector of its own independent interests
  • Under fascism, the state achieves great independence from the private sector , which may become subservient to the state. Under the welfare state, the state becomes a protector of the social balance of power and manages the achievements of the social movement; and finally, under the neoliberal corporate welfare state, or ‘market state’, it serves most directly the interests of the financial sector.
  • key institutions and forms of property.
  • The state managed a public sector, under its own property.
  • The private sector , under a regime of private ownership, is geared to profit, discounts social and natural externalities, both positive and negative, and uses its dominance in society to use and dominate the state.
  • civil society has a relative power as well, through its capability of creating social movements and associations
  • Capitalism has historically been a pendulum between the private and the public sector
  • However, this configuration is changing,
  • the endangerment of the biosphere through the workings of ‘selfish’ market players; the second is the role of the new digital commons.
  • participatory politics
  • Peer production gives us an advance picture of how a commons-oriented society would look like. At its core is a commons and a community contributing to it, either voluntarily, or as paid entrepreneurial employees. It does this through collaborative platforms using open standards. Around the commons emerges enterprises that create added value to operate on the marketplace, but also help the maintenance and the expansion of the commons they rely on. A third partner are the for-benefit associations that maintain the infrastructure of cooperation. Public authorities could play a role if they wanted to support existing commons or the creation of new commons, for the value they bring to society.
  • if a commons is not created as in the case of the digital commons, it is something that is inherited from nature or former generations, given in trust and usufruct, so that it can be transmitted to our descendents. The proper institution for such commons is therefore the trust, which is a corporate form that cannot touch its principal capital, but has to maintain it.
Tiberius Brastaviceanu

Promoting and Assessing Value Creation in Networks - P2P Foundation - 1 views

  • Promoting and Assessing Value Creation in Networks: A conceptual framework
  • there are three pieces of a CoP
  • the evaluation framework is able to assess the value of each piece
  • ...7 more annotations...
  • The framework itself has five levels
  • The first level—related to the satisfaction level—is called "immediate value" and it assesses what just happened, for example, in a webinar
  • The second level is called "potential value," and I like to think of this as the new knowledge or understanding that is lying latent but ready to be put to use in the future
  • This level looks at change
  • The third level does this, and it is called "applied value" and this is where the model starts to become interesting to CEOs and others
  • hard metrics like reduced development time, improved efficiencies, or financial returns. The fourth level in the framework provides this, and the level is called "realized value."
  • he fifth level is where the community changes as a result of the activity occurring in the first four levels. At this highest level, the framework examines changes in the community—norms, standards, practices, and thought leadership—that has occurred as a result of activity within the community
Tiberius Brastaviceanu

The Baffler - 0 views

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