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Francois Bergeron

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

yihongs-research.blogspot.ca/...-in-new-transition-part-2.html

thinking space transition web of minds

shared by Francois Bergeron on 28 Oct 12 - No Cached
  • 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.
  • ...1 more annotation...
  • 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.
  • Francois Bergeron on 28 Oct 12
     
    proposed by Kurt
Kurt Laitner

Club of Amsterdam blog: The impact of culture on education - 0 views

clubofamsterdam.blogspot.nl/...t-of-culture-on-education.html

metrics values context paper blog

shared by Kurt Laitner on 22 Jan 14 - No Cached
  • For example in some countries the objective of education is: to develop a critical mind, which in other cultures is viewed as absurd. In these countries students are supposed to try to learn as much as possible from the older generation and only when you are fully initiated you may communicate to have ideas of yourself.
  • For example in some countries the objective of education is: to develop a critical mind, which in other cultures is viewed as absurd. In these countries students are supposed to try to learn as much as possible from the older generation and only when you are fully initiated you may communicate to have ideas of yourself.
  • The combined scores for each country explain variations in behavior of people and organizations. The scores indicate the relative differences between cultures.
  • ...13 more annotations...
  • n masculine cultures like USA, UK, Germany, Japan and Italy the dominant values are achievement and success. The dominant values in feminine cultures are consensus seeking, caring for others and quality of life. Sympathy is for the underdog. People try to avoid situations distinguishing clear winners and losers.  In masculine cultures performance and achievement are important. The sympathy is for the winners. Status is important to show success. Feminine cultures like the Scandinavian countries and the Netherlands have a people orientation. Small is beautiful and status is not so important.
  • In masculine cultures like USA, UK, Germany, Japan and Italy the dominant values are achievement and success. The dominant values in feminine cultures are consensus seeking, caring for others and quality of life. Sympathy is for the underdog. People try to avoid situations distinguishing clear winners and losers.  In masculine cultures performance and achievement are important. The sympathy is for the winners. Status is important to show success. Feminine cultures like the Scandinavian countries and the Netherlands have a people orientation. Small is beautiful and status is not so important.
  • In masculine cultures like USA, UK, Germany, Japan and Italy the dominant values are achievement and success. The dominant values in feminine cultures are consensus seeking, caring for others and quality of life. Sympathy is for the underdog. People try to avoid situations distinguishing clear winners and losers.  In masculine cultures performance and achievement are important. The sympathy is for the winners. Status is important to show success. Feminine cultures like the Scandinavian countries and the Netherlands have a people orientation. Small is beautiful and status is not so important.
  • For example in some countries the objective of education is: to develop a critical mind, which in other cultures is viewed as absurd. In these countries students are supposed to try to learn as much as possible from the older generation and only when you are fully initiated you may communicate to have ideas of yourself.
  • c. Masculinity vs. Femininity (MAS) In masculine cultures like USA, UK, Germany, Japan and Italy the dominant values are achievement and success. The dominant values in feminine cultures are consensus seeking, caring for others and quality of life. Sympathy is for the underdog. People try to avoid situations distinguishing clear winners and losers.  In masculine cultures performance and achievement are important. The sympathy is for the winners. Status is important to show success. Feminine cultures like the Scandinavian countries and the Netherlands have a people orientation. Small is beautiful and status is not so important.
  • He defines culture as “the collective programming of the mind that distinguishes the members of one group or category of people from others”.
  • Analyzing his data, Hofstede found five value clusters (or “dimensions”) being the most fundamental in understanding and explaining the differences in answers to the single questions in his questionnaires
  • The five dimensions of national culture identified by Hofstede are:  Power Distance Index (PDI)  Individualism vs. collectivism (IDV)  Masculinity vs. femininity (MAS)  Uncertainty Avoidance Index (UAI)  Long Term Orientation (LTO)
  • Power distance is the extent to which less powerful members of a society accept that power is distributed unequally. In high power-distance cultures everybody has his/her rightful place in society. Old age is respected, and status is important. In low power-distance cultures people try to look younger and powerful people try to look less powerful
  • In individualistic cultures, like almost all the rich Western countries, people look after themselves and their immediate family only; in collectivist cultures like Asia and Africa people belong to "in-groups" who look after them in exchange for loyalty
  • In masculine cultures like USA, UK, Germany, Japan and Italy the dominant values are achievement and success. The dominant values in feminine cultures are consensus seeking, caring for others and quality of life. Sympathy is for the underdog. People try to avoid situations distinguishing clear winners and losers.  In masculine cultures performance and achievement are important. The sympathy is for the winners. Status is important to show success. Feminine cultures like the Scandinavian countries and the Netherlands have a people orientation. Small is beautiful and status is not so important
  • Uncertainty avoidance (or uncertainty control) stands for the extent to which people feel threatened by uncertainty and ambiguity. In cultures with strong uncertainty avoidance, people have a strong emotional need for rules and formality to structure life
  • The last element of culture is the Long Term Orientation which is the extent to which a society exhibits a future-orientated perspective rather than a near term point of view.  Low scoring countries like the USA and West European countries are usually those under the influence of monotheistic religious systems, such as the Christian, Islamic or Jewish systems. People in these countries believe there is an absolute and indivisible truth. In high scoring countries such as Hong Kong, Taiwan, China, for example those practicing Buddhism, Shintoism or Hinduism,  people believe truth depends on time, context and situation
  • Kurt Laitner on 22 Jan 14
     
    has explanatory power over many of the fundamental disagreements I have seen play out in sensorica discussions - may be worthwhile to understand constituents based on this model
Kurt Laitner

Thinking Space: We are in a new transition, part 1 - 0 views

yihongs-research.blogspot.ca/...-in-new-transition-part-1.html

*yihongding mind asset manifesto

shared by Kurt Laitner on 22 Oct 12 - No Cached
  • Kurt Laitner on 22 Oct 12
     
    Yihong Ding on the Mind factor of production
Tiberius Brastaviceanu

Value - MindMeister Mind Map - 2 views

www.mindmeister.com/...value

value mind mind map map Kurt

shared by Tiberius Brastaviceanu on 27 Oct 11 - No Cached
Steve Bosserman

Glow, A Fertility App Conceived By A Former Slide Exec, Is Powered By Data Instead Of A... - 1 views

www.fastcompany.com/...n-app-to-help-parents-conceive

shared by Steve Bosserman on 18 Aug 13 - No Cached
  • Steve Bosserman on 18 Aug 13
     
    It looks as though others have scooped Ian's idea. But this just underscores how brilliant it was when he proposed it! Now, we need another breakthrough that plays out in bluer oceans. Ian, what's on your mind this week?
Francois Bergeron

MES - McGill Entrepreneurs' Society - 0 views

www.mcgillentrepreneurs.com

support new ventures

shared by Francois Bergeron on 26 Apr 11 - No Cached
  • Francois Bergeron on 26 Apr 11
     
    Promote entrepreneurship among students and members of the Montreal Community Support students with their entrepreneurial ventures by means of advising, funds, bank account, networking opportunities and much more Network with local business organizations and make their resources available to club members Give anyone with a project in mind the opportunity to form their team, take a leadership position, and bring their idea to an end
Tiberius Brastaviceanu

The Baffler - 0 views

thebaffler.com/...the_meme_hustler

O'Reilly paper

shared by Tiberius Brastaviceanu on 06 Apr 13 - No Cached
  • 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.
Kurt Laitner

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

www.oecd.org/...%20Subjective%20Well-being.pdf

OECD well being subjective measures

shared by Kurt Laitner on 21 Mar 13 - No Cached
  • 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”.
  • ...16 more annotations...
  • 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.
Tiberius Brastaviceanu

MindMup: Zero-Friction Free Online Mind Mapping - 0 views

www.mindmup.com/#m:a1fde4cef0c5cd0130123e0e5e2a4a189a

xyzpiezo_project mindmap product map

shared by Tiberius Brastaviceanu on 03 Jul 13 - No Cached
  • Tiberius Brastaviceanu on 03 Jul 13
     
    Created bu Francois. 
Francois Bergeron

Nanotubes make 'exceptional' strain sensor - 0 views

www.rsc.org/...27031101.asp

carbon nanotube sensor

shared by Francois Bergeron on 13 Dec 11 - No Cached
  • Affixed to the chest as a respiration monitor, the team suggest it might help prevent sudden infant death syndrome (SIDS) but Hata's favourite application is the "data glove", which senses the movement of each finger. The group's glove sensed the motions of typing, but they say a version could be used to guide robots which perform surgery.  Hata also has more fun applications in mind, such as game controllers and virtual reality systems.
Tiberius Brastaviceanu

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

protege.stanford.edu/...ntology101-noy-mcguinness.html

protege ontologies infrastructure tutorial

shared by Tiberius Brastaviceanu on 29 Jul 12 - Cached
  • 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:
  • 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.
  • some fundamental rules in ontology design
  • 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.
Tiberius Brastaviceanu

Science and Technology Consultation - Industry Canada - 0 views

www.ic.gc.ca/...h_07416.html

Industry Canada

shared by Tiberius Brastaviceanu on 15 Jan 14 - No Cached
  • Under this strategy
    • Yasir Siddiqui
      Yasir Siddiqui on 15 Jan 14
       
      Testing
    • Yasir Siddiqui
      Yasir Siddiqui on 15 Jan 14
       
      testing
  • Genome Canada, the Canadian Institute for Advanced Research and the Canada Foundation for Innovation.
  • Still, Canadian businesses continue to underperform when it comes to innovation—a primary driver of productivity growth—when compared to other competing nations. The performance of business R&D is one oft-cited measure used to gauge the level of innovative activity in a country's business sector.
  • ...38 more annotations...
  • Canadians have reached top tier global performance in reading, mathematics, problem solving and science, and Canada has rising numbers of graduates with doctoral degrees in science and engineering.
  • This valuable resource of highly qualified and skilled individuals needs to be better leveraged.
  • The ease and ability of the academic community to collaborate, including through research networks, is also well-recognized.
  • to develop technologies, products and services that add value and create high-paying jobs.
  • Canada has an impressive record when it comes to research and the quality of its knowledge base.
  • Still, the innovative performance of Canada's firms and the productivity growth continue to lag behind competing nations.
  • The government is also committed to moving forward with a new approach to promoting business innovation—one that emphasizes active business-led initiatives and focuses resources on better fostering the growth of innovative firms.
  • Achieving this requires the concerted effort of all players in the innovation system—to ensure each does what one does best and to leverage one another's strengths.
  • the government has invested more to support science, technology and innovative companies than ever before
  • Canada must become more innovative
    • Kurt Laitner
      Kurt Laitner on 15 Jan 14
       
      problem statement
  • providing a new framework to guide federal ST&I investments and priorities. That is why the Government of Canada stated its intention to release an updated ST&I Strategy in the October 2013 Speech from the Throne.
    • Kurt Laitner
      Kurt Laitner on 15 Jan 14
       
      exercise
  • seeking the views of stakeholders from all sectors of the ST&I system—including universities, colleges and polytechnics, the business community, and Canadians
  • written submissions from all Canadians on the policy issues and questions presented in this paper.
  • The government remains focused on creating jobs, growth and long-term prosperity for Canadians
  • encouraging partnerships with industry, attracting highly skilled researchers, continuing investments in discovery-driven research, strengthening Canada's knowledge base, supporting research infrastructure and providing incentives to private sector innovation.
  • has transformed the National Research Council, doubled its investment
  • supported research collaborations through the federal granting councils
  • created the new Venture Capital Action Plan
  • helping to promote greater commercialization of research and development
  • Our country continues to lead the G7 in spending on R&D
  • Canada has a world-class post-secondary education system that embraces and successfully leverages collaboration with the private sector, particularly through research networks
  • destination for some of the world's brightest minds
  • global race
  • businesses that embrace innovation-based strategies
  • post-secondary and research institutions that attract and nurture highly qualified and skilled talent
  • researchers who push the frontiers of knowledge
  • governments that provide the support
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
       
      Why a race? We need to change the way we see this!!! We need to open up. See the European Commission Horizon 2020 program  http://ec.europa.eu/programmes/horizon2020/en/ They are acknowledging that Europe cannot do it alone, and are spending money on International collaboration. 
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
       
      There is nothing about non-institutionalized innovation, i.e. open source! There is nothing about the public in this equation like the Europeans do in the Digital Era for Europe program  https://ec.europa.eu/digital-agenda/node/66731 
  • low taxes, strong support for new businesses, a soundly regulated banking system, and ready availability of financial services
  • reducing red tape
  • expanding training partnerships and improving access to venture capital.
  • Collaboration is key to mobilizing innovation
  • invest in partnerships between businesses and colleges and universities
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
       
      But the public and in people is still not in sight of the fed gov. 
  • Economic Action Plans (EAP) 2012 and 2013
  • provide incentive for innovative activity in firms, improved access to venture capital, augmented and more coordinated direct support to firms, and deeper partnerships and connections between the public and private sectors.
Kurt Laitner

Uber, Data Darwinism and the future of work - Tech News and Analysis - 0 views

gigaom.com/...rwinism-and-the-future-of-work

quantified self ratings on demand workforce

shared by Kurt Laitner on 17 Sep 13 - No Cached
  • Kurt Laitner on 17 Sep 13
     
    also see http://www.baen.com/chapters/W200011/0671319744___1.htm on this theme of absolute accountability
  • Kurt Laitner on 17 Sep 13
     
    something to keep in mind while designing value equations, understanding the impact of absolute accountability, and the need to ensure we are measuring wht matters as important decisions will be made based on the metric, whether or not the metric is being used properly in context (for example using klout scores to choose among candidates for an engineering job)
Kurt Laitner

Michalski Shuttleworth Application - YouTube - 1 views

www.youtube.com/watch

OVNi Horizon *jerrymichalsky Open Global Mind OGM project

shared by Kurt Laitner on 23 Jun 14 - No Cached
  • Kurt Laitner on 23 Jun 14
     
    This project seems very much aligned with the OVNi initiative
Tiberius Brastaviceanu

Decision making - Wikipedia, the free encyclopedia - 1 views

en.wikipedia.org/...Decision_making

decision making wikipedia decision making decision-making

shared by Tiberius Brastaviceanu on 15 Apr 11 - Cached
  • mental processes
  • examine individual decisions in the context of a set of needs, preferences an individual has and values they seek.
  • psychological perspective
  • ...59 more annotations...
  • cognitive perspective
  • continuous process integrated in the interaction with the environment
  • normative perspective
  • logic of decision making
  • and rationality
  • decision making is a reasoning or emotional process which can be rational or irrational, can be based on explicit assumptions or tacit assumptions.
  • Logical decision making
  • making informed decisions
  • recognition primed decision approach
  • without weighing alternatives
  • integrated uncertainty into the decision making process
  • A major part of decision making involves the analysis of a finite set of alternatives described in terms of some evaluative criteria.
  • multi-criteria decision analysis (MCDA) also known as multi-criteria decision making (MCDM).
  • differentiate between problem analysis and decision making
  • Problem analysis must be done first, then the information gathered in that process may be used towards decision making.[4]
  • decision making techniques people use in everyday life
  • Pros and Cons
  • Simple Prioritization:
  • Decision-Making Stages
  • Orientation stage
  • Conflict stage
  • Emergence stage
  • Reinforcement stage
  • Decision-Making Steps
  • Outline your goal and outcome
  • Gather data
  • Brainstorm to develop alternatives
  • List pros and cons of each alternative
  • Make the decision
  • take action
  • Learn from, and reflect on the decision making
  • Cognitive and personal biases
  • Selective search for evidence
  • Premature termination of search for evidence
  • Inertia
  • Selective perception
  • Wishful thinking or optimism bias
  • Choice-supportive bias
  • Recency
  • Repetition bias
  • Anchoring and adjustment
  • Group think – Peer pressure
  • Source credibility bias
  • Incremental decision making and escalating commitment
  • Attribution asymmetry
  • Role fulfillment
  • Underestimating uncertainty and the illusion of control
  • a person's decision making process depends to a significant degree on their cognitive style
  • thinking and feeling; extroversion and introversion; judgment and perception; and sensing and intuition.
  • someone who scored near the thinking, extroversion, sensing, and judgment
  • would tend to have a logical, analytical, objective, critical, and empirical decision making style.
  • national or cross-cultural differences
  • distinctive national style of decision making
  • human decision-making is limited by available information, available time, and the information-processing ability of the mind.
  • two cognitive styles: maximizers
  • satisficers
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 15 Apr 11
       
      I think we are at the CONFLICT stage at this moment
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 15 Apr 11
       
      These are the steps we need to go through to make a decision of the 4 items proposed by Ivan
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 15 Apr 11
       
      This is also interesting, where are you on these 4 dimensions? 
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