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Charles van der Haegen

Meary Douglas retraces the origins of the Theory od Socio-cultural Viability - 1 views

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    IThis article, written at the end of her life, presents the Historical Origins of The theory of Socio-cultural Viability by Mary Douglas, who is to be seen as the inspirator of the theory, and to have established the foundational ideas who have been further developped by her students, and later further developped and applied by many scholars across a wide range of disciplines. The first paragraph will hopefully provide some incentive to dig further: Introduction: What is Grid and Group Cultural Theory? How Useful can it be in the Modern World? It is a pleasure for me to reflect on the history of Grid-Group. I first described the idea in Natural Symbols ( Douglas 1970), a kind of necessary sequel to Purity and Danger (1966). I now realise that it was a simple idea presented in a complicated way. After a late start it has been radically redesigned by creative collaborators whose work I will describe. Back in the 1960's social anthropologists still felt it was necessary to vindicate the intelligence of colonial peoples, then known as "natives" or "primitives." A major objective of teaching and writing in anthropology was to attack something described by Levy Bruhl as "primitive mentality," which seemed to mean "primitive irrationality." Malinowski had started in the 1920's showing that the Trobrianders had rational customs and laws. In the 1930's Raymond Firth was original in focusing on the "primitive economics" of the Polynesians and found that the basic laws of supply, demand, and price applied in the rustic economies he studied. Evans-Pritchard made a frontal defence of Azande rationality. After World War II, Nadel and Gluckman followed up with the complexities of Nubian and Barotse legal systems. The very idea that the concept of "jurisprudence" could apply to "the natives" was innovative. In the 1950's and 60's we continued to dismantle intellectual barriers assumed to distinguish "Them" from "Us." The following ex
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    I believe this to be a helpfull introduction to the study od the Theory od Socio-cultural viability, which, it seems to me, is a usefull framework to look from a new angle to cooperation theory, institutional decision making, democracy and many other fields of social sciences
David McGavock

Babies help unlock the origins of morality - Page 2 - CBS News - 0 views

  • Study after study after study, the results are always consistently babies feeling positively towards helpful individuals in the world. And disapproving, disliking, maybe condemning individuals who are antisocial towards others.
  • first published their findings about baby morality in the journal "Nature" in 2007, and they've continued to publish follow-up studies in other peer-reviewed journals ever since
  • babies seem to view the ball thief "as deserving punishment."
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  • do you think that babies, therefore, are born with an innate sense of justice?
  • What seems to be an ignorant and unknowing baby is actually a creature with this alarming sophistication,
  • What we're finding in the baby lab, is that there's more to it than that -- that there's a universal moral core that all humans share. The seeds of our understanding of justice, our understanding of right and wrong, are part of our biological nature.
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David McGavock

Babies help unlock the origins of morality - CBS News - 0 views

  • It's a question people have asked for as long as there have been people: are human beings inherently good? Are we born with a sense of morality or do we arrive blank slates, waiting for the world to teach us right from wrong? Or could it be worse: do we start out nasty, selfish devils, who need our parents, teachers, and religions to whip us into shape?
  • The philosopher Rousseau considered babies "perfect idiots...Knowing nothing,"
  • for most of its history, her field agreed.
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  • discovered seemingly simple ways to probe what's really going on in those adorable little heads.
  • Babies, even at three months, looked towards the nice character and looked hardly at all, much, much, much shorter times, towards the unhelpful character.
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    CBS story with Leslie Stahl
David McGavock

Babies help unlock the origins of morality - Page 4 - CBS News - 0 views

  • The youngest kids in the study will routinely choose to get fewer prizes for themselves just to get more than the other kid
  • Around age 8, they start choosing the equal, fair option more and more. And by 9 or 10, we saw kids doing something really crazy --
  • -- deliberately giving the other kid more.
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  • Paul Bloom: When we have these findings with the kids, the kids who choose this and not this, the kids in the baby studies who favor the one who is similar to them, the same taste and everything-- none of this goes away. I think as adults we can always see these and kind of nod.
  • And so it seems we're left where we all began: with a mix of altruism, selfishness, justice, bigotry, kindness. A lot more than any of us expected to discover in a blob.
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David McGavock

Babies help unlock the origins of morality - Page 3 - CBS News - 0 views

  • From this Wynn concludes that infants prefer those "who harm... others" who are unlike them.
  • We are predisposed to break the world up into different human groups based on the most subtle and seemingly irrelevant cues, and that, to some extent, is the dark side of morality.
  • Karen Wynn: I think, we are built to, you know, at the drop of a hat, create us and them.
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  • Lesley Stahl: Sounds to me like the experiment show they are little bigots. Paul Bloom: I think to some extent, a bias to favor the self, where the self could be people who look like me, people who act like me, people who have the same taste as me, is a very strong human bias.
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Charles van der Haegen

Turing's Cathedral. Author George Dyson in Conversation with John Hollar - YouTube - 0 views

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    "Publiée le 19 mars 2012 par ComputerHistory [Recorded: March 7, 2012] I am thinking about something much more important than bombs. I am thinking about computers. John von Neumann, 1946 The most powerful technology of the last century was not the atomic bomb, but software-and both were invented by the same folks. Even as they were inventing it, the original geniuses imagined almost everything software has become since. At long last, George Dyson delivers the untold story of software's creation. It is an amazing tale brilliantly deciphered. Kevin Kelly, cofounder of WIRED magazine, author of What Technology Wants Legendary historian George Dyson vividly re-creates the scenes of focused experimentation, incredible mathematical insight, and pure creative genius that gave us computers, digital television, modern genetics, models of stellar evolution-in other words, computer code. In the 1940s and '50s, a group of eccentric geniuses-led by John von Neumann-gathered at the newly created Institute for Advanced Study in Princeton, New Jersey. Their joint project was the realization of the theoretical universal machine, an idea that had been put forth by mathematician Alan Turing. This group of brilliant engineers worked in isolation, almost entirely independent from industry and the traditional academic community. But because they relied exclusively on government funding, the government wanted its share of the results: the computer that they built also led directly to the hydrogen bomb. George Dyson has uncovered a wealth of new material about this project, and in bringing the story of these men and women and their ideas to life, he shows how the crucial advancements that dominated twentieth-century technology emerged from one computer in one laboratory, where the digital universe as we know it was born. Join John Hollar for a captivating conversation with Dyson about John von Neumann and the beginnings of the digital universe. This event is part of ou
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    view this
Charles van der Haegen

SMUPreprint.pdf (Objet application/pdf) - 1 views

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    The first chapter of what is for me a fundamental book that complements our learning here, and hints at how Social Media might contribute to creating a better World. The article elaborates on how new Social Theory brings new perspectives to finding and implementing solutions to the intractable problems of our time. These ideas originally developped by Mary Douglas, an antropologist, and have been further refined and developped into a fully integrated Social Theory, called Theory of Socio-Cultural Viability, anso sometimes called "Cultural Theory". The lead researcher in this field is Michael Thompson, co-author of this book and chapter. Here are some highlights I have jotted down: Why do well-intended attempts to alleviate pressing social ills too often derail? How can effective and efficient and broadly acceptable solutions to social problems be found? By making sure no voices are excluded. Contrary to the ideas on which current social thinking is based, new research has lead to new theory explaining social systems, showing how deliberative quality is key to sustainable policy-making and implementation. It shows that endlessly changing and complex social worlds consist of ceaseless interactions between four mutually opposed organizing, justifying and perceiving social relations. Each time one of these perspectives is excluded from collective decision-making, governance failure inevitably results. Successful solutions are therefore creative combinations of four opposing ways of organizing and thinking. They always seem clumsy compared to any of the 4 voices' elegant solutions. Yet being broadly acceptable to all they are sustainable and implementable A new way to look at pluralism in organizations, institutions, policy-making, democracy, technology, geo-politics and many other social fields is offered to us by multidisciplinary research and practice by leading political scientists, anthropologists, economists, lawyers, sociologists, geographers, engineer
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    Hi guys, this might be stuff that is of interest to you...
Charles van der Haegen

Michael+Thompson+Lisbon+Report+Democratic+Governance+Technological+Change+and+Globalisa... - 0 views

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    A fundamental article on how new social theory brings new perspectives on how to find and omplement solutions to the intractable problems of our time. These ideas originally developped by Maruy Dougleas, have been refined and developped into a full theory, called Theory of Socio-Cultural Viability, anso sometil$mes called "Cultural Theory". The lead researcher in this field is Michael Thompson, author of this Workshop Report
Charles van der Haegen

Skeptic » About Us » A Brief Introduction - 1 views

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    "A Brief Introduction All our science, measured against reality, is primitive and childlike - and yet it is the most precious thing we have. -Albert Einstein The Skeptics Society is a scientific and educational organization of scholars, scientists, historians, magicians, professors and teachers, and anyone curious about controversial ideas, extraordinary claims, revolutionary ideas, and the promotion of science. Our mission is to serve as an educational tool for those seeking clarification and viewpoints on those controversial ideas and claims. Under the direction of Dr. Michael Shermer, the Society engages in discussions with leading experts and investigates fringe science and paranormal claims. It is our hope that our efforts go a long way in promoting critical thinking and lifelong inquisitiveness in all individuals. I have made a ceaseless effort not to ridicule, not to bewail, not to scorn human actions, but to understand them. -Baruch Spinoza Some people believe that skepticism is the rejection of new ideas, or worse, they confuse "skeptic" with "cynic" and think that skeptics are a bunch of grumpy curmudgeons unwilling to accept any claim that challenges the status quo. This is wrong. Skepticism is a provisional approach to claims. It is the application of reason to any and all ideas - no sacred cows allowed. In other words, skepticism is a method, not a position. Ideally, skeptics do not go into an investigation closed to the possibility that a phenomenon might be real or that a claim might be true. When we say we are "skeptical," we mean that we must see compelling evidence before we believe. Skepticism has a long historical tradition dating back to ancient Greece, when Socrates observed: "All I know is that I know nothing." But this pure position is sterile and unproductive and held by virtually no one. If you were skeptical about everything, you would have to be skeptical of your own skepticism. Like the dec
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    a nice source of curated uncomfortable knowledge
David McGavock

Pop-Up University | DMLcentral - 0 views

  • Networked social learning is most effective and truly magical when students who don't know one another one day start scouring the world for knowledge to bestow on each other the next day and spend their time contributing to each other's learning. It’s the unpredictable synergy that can happen when a group of strangers assembles online to learn together.
  • But the knowledge-sharing gift economy is a human creation – one that can't be predicted, commanded, or summoned but has to be nurtured, cultivated, and facilitated.
  • Michael Wesch's "A Portal to Media Literacy" made clear to me something I had been feeling my way toward -- a pedagogy that is more about collaboration than technology, in which the technology is central, but is a vehicle for co-discovery.
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  • Henry Jenkins taught me about participatory culture and the importance of teaching skills of credibility (what I call "crap detection") transmedia storytelling, collective intelligence, and network smarts.
  • I learned from Mizuko Ito that young people use digital skills and knowledge exchange as social currency in fan cultures – using social media to learn about things that really matter to them, such as multiplayer games, Pokemon, mashups and fan videos.
  • Cathy Davidson's bold experiments in peer-to-peer learning, including "crowd-sourcing grading," gave me a working model to emulate and appropriate.
  • it only made sense to begin by mobilizing social media skills in parallel with introducing the subject matter. Teaching about social media doesn't make a lot of sense unless students can use social media in their learning
  • The choice to participate in creating and not just consuming the culture in which we live is crucial, and presenting that choice in terms that can engage students is critical.
  • The first acts on the first day of class are crucial – what chaos theorists call "sensitive dependence on initial conditions."
  • As one of my mentors, Lisa Kimball, taught me, a good online facilitator pays heed to the containers, but also thinks in terms of tempo. I knew the importance of engaging as many of the co-learners as possible in the first live session and the first weekend of forum and blog discussion.
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    If Rheingold U, my current experiment in cultivating wholly online, multimedia, unaccredited, for-not-much-pay learning communities, originally germinated out of fun and impulse, the next stage was more scary-serious. As soon as I took people's money and started telling the world about my intentions, I was obligated as well as motivated to make it work - not just to deliver a rich set of learning materials, but to conjure actual social learning magic
David McGavock

The Myth Of AI | Edge.org - 1 views

  • what I'm proposing is that if AI was a real thing, then it probably would be less of a threat to us than it is as a fake thing.
  • it adds a layer of religious thinking to what otherwise should be a technical field.
  • we can talk about pattern classification.
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  • But when you add to it this religious narrative that's a version of the Frankenstein myth, where you say well, but these things are all leading to a creation of life, and this life will be superior to us and will be dangerous
  • I'm going to go through a couple of layers of how the mythology does harm.
  • this overall atmosphere of accepting the algorithms as doing a lot more than they do. In the case of Netflix, the recommendation engine is serving to distract you from the fact that there's not much choice anyway.
  • If a program tells you, well, this is how things are, this is who you are, this is what you like, or this is what you should do, we have a tendency to accept that.
  • our economy has shifted to what I call a surveillance economy, but let's say an economy where algorithms guide people a lot, we have this very odd situation where you have these algorithms that rely on big data in order to figure out who you should date, who you should sleep with, what music you should listen to, what books you should read, and on and on and on
  • people often accept that
  • all this overpromising that AIs will be about to do this or that. It might be to become fully autonomous driving vehicles instead of only partially autonomous, or it might be being able to fully have a conversation as opposed to only having a useful part of a conversation to help you interface with the device.
  • other cases where the recommendation engine is not serving that function, because there is a lot of choice, and yet there's still no evidence that the recommendations are particularly good.
  • there's no way to tell where the border is between measurement and manipulation in these systems.
  • if the preponderance of those people have grown up in the system and are responding to whatever choices it gave them, there's not enough new data coming into it for even the most ideal or intelligent recommendation engine to do anything meaningful.
  • it simply turns into a system that measures which manipulations work, as opposed to which ones don't work, which is very different from a virginal and empirically careful system that's trying to tell what recommendations would work had it not intervened
  • What's not clear is where the boundary is.
  • If you ask: is a recommendation engine like Amazon more manipulative, or more of a legitimate measurement device? There's no way to know.
  • we don't know to what degree they're measurement versus manipulation.
  • If people are deciding what books to read based on a momentum within the recommendation engine that isn't going back to a virgin population, that hasn't been manipulated, then the whole thing is spun out of control and doesn't mean anything anymore
  • not so much a rise of evil as a rise of nonsense.
  • because of the mythology about AI, the services are presented as though they are these mystical, magical personas. IBM makes a dramatic case that they've created this entity that they call different things at different times—Deep Blue and so forth.
  • Cortana or a Siri
  • This pattern—of AI only working when there's what we call big data, but then using big data in order to not pay large numbers of people who are contributing—is a rising trend in our civilization, which is totally non-sustainable
    • David McGavock
       
      Key relationship between automation of tasks, downsides, and expectation for AI
  • If you talk about AI as a set of techniques, as a field of study in mathematics or engineering, it brings benefits. If we talk about AI as a mythology of creating a post-human species, it creates a series of problems that I've just gone over, which include acceptance of bad user interfaces, where you can't tell if you're being manipulated or not, and everything is ambiguous.
  • It creates incompetence, because you don't know whether recommendations are coming from anything real or just self-fulfilling prophecies from a manipulative system that spun off on its own, and economic negativity, because you're gradually pulling formal economic benefits away from the people who supply the data that makes the scheme work.
  • I'm going to give you two scenarios.
  • let's suppose somebody comes up with a way to 3-D print a little assassination drone that can go buzz around and kill somebody. Let's suppose that these are cheap to make.
  • Having said all that, let's address directly this problem of whether AI is going to destroy civilization and people, and take over the planet and everything.
  • some disaffected teenagers, or terrorists, or whoever start making a bunch of them, and they go out and start killing people randomly
  • This idea that some lab somewhere is making these autonomous algorithms that can take over the world is a way of avoiding the profoundly uncomfortable political problem, which is that if there's some actuator that can do harm, we have to figure out some way that people don't do harm with it.
    • David McGavock
       
      Another key - focus on the actuator, not the agent that exploits it.
  • the part that causes the problem is the actuator. It's the interface to physicality
  • not so much whether it's a bunch of teenagers or terrorists behind it or some AI
  • The sad fact is that, as a society, we have to do something to not have little killer drones proliferate.
  • What we don't have to worry about is the AI algorithm running them, because that's speculative.
  • another one where there's so-called artificial intelligence, some kind of big data scheme, that's doing exactly the same thing, that is self-directed and taking over 3-D printers, and sending these things off to kill people.
  • There's a whole other problem area that has to do with neuroscience, where if we pretend we understand things before we do, we do damage to science,
  • You have to be able to accept what your ignorances are in order to do good science. To reject your own ignorance just casts you into a silly state where you're a lesser scientist.
  • To my mind, the mythology around AI is a re-creation of some of the traditional ideas about religion, but applied to the technical world.
  • The notion of this particular threshold—which is sometimes called the singularity, or super-intelligence, or all sorts of different terms in different periods—is similar to divinity.
  • In the history of organized religion, it's often been the case that people have been disempowered precisely to serve what were perceived to be the needs of some deity or another, where in fact what they were doing was supporting an elite class that was the priesthood for that deity.
    • David McGavock
       
      Technical priesthood.
  • If AI means this mythology of this new creature we're creating, then it's just a stupid mess that's confusing everybody, and harming the future of the economy. If what we're talking about is a set of algorithms and actuators that we can improve and apply in useful ways, then I'm very interested, and I'm very much a participant in the community that's improving those things.
  • A lot of people in the religious world are just great, and I respect and like them. That goes hand-in-hand with my feeling that some of the mythology in big religion still leads us into trouble that we impose on ourselves and don't need.
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    "The idea that computers are people has a long and storied history. It goes back to the very origins of computers, and even from before. There's always been a question about whether a program is something alive or not since it intrinsically has some kind of autonomy at the very least, or it wouldn't be a program. There has been a domineering subculture-that's been the most wealthy, prolific, and influential subculture in the technical world-that for a long time has not only promoted the idea that there's an equivalence between algorithms and life, and certain algorithms and people, but a historical determinism that we're inevitably making computers that will be smarter and better than us and will take over from us."
David McGavock

Do Babies Have a Moral Compass? Debate Heats Up | LiveScience - 0 views

  • In the original study, conducted by Yale researchers in 2007, groups of 6-month-olds and 10-month-olds watched a puppet show with neutral wooden figures, where one figure, the climber, was trying to get up a hill. In one scenario, one of the other figures, called the helper, assisted the climber up the hill. In the other scenario, a third figure, called the hinderer, pushed the climber down. Babies were then presented with the helper and hinderer figures so they could pick which one they preferred, and 14 out of 16 babies in the older group (10 months old) and all 12 of the 6-month-olds picked the helper. The study, which was published in the journal Nature, seemed to imply that infants could be good judges of character. [In Photos: How Babies Learn]
  • discrepancies would seem to make it tricky for infants to know that the climber needed help, and if they did, for them to know that the helper was helping. As such, it's possible the infants in the new study looked to these other variables (collisions and bounces) to make their decisions, Hamlin suggests.
  • Even if flaws did exist in their study, Hamlin and her colleagues point to various independent studies, one of which uses a similar setup without the "bouncing" of the climber, that support the "babies have a moral compass" theory. The researchers go on to note they have replicated their findings, that infants prefer prosocial others, in a range of social scenarios that don't include climbing, colliding or bouncing. Hamlin's other studies have shown babies are good judges of character.
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  • "On the help and hinder trials, the toys collided with one another, an event we thought infants may not like," lead researchers Damian Scarf said in a statement from New Zealand's University of Otago. "Furthermore, only on the help trials, the climber bounced up and down at the top of hill, an event we thought infants may enjoy."
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    "An experiment five years ago suggested that babies are equipped with an innate moral compass, which drives them to choose good individuals over the bad in a wooden puppet show. But new research casts doubt on those findings, demonstrating that a baby's apparent preference for what's right might just reflect a fondness for bouncy things."
David McGavock

…My heart's in Accra » CHI keynote: Desperately Seeking Serendipity - 1 views

  • Cities embody political decisions make by their designers.
    • David McGavock
       
      Sounds like program or be programmed to me
  • It’s much harder to get the architects behind Facebook or Foursquare articulate the behaviors they’re trying to enable and the political assumptions that underly those decisions.
    • David McGavock
       
      Again - Programmers!
  • An urban planner who wants to make changes to a city’s structure is held in check by a matrix of forces: a desire to preserve history, the needs and interests of businesses and residents in existing communities, the costs associated with executing new projects. Progress is slow,
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  • For those planning the future of Facebook, it’s hard to study what’s succeeded and failed for MySpace, in part because an exodus of users to Facebook is gradually turning MySpace into a ghost town.
  • If we learn from real-world cities instead of abandoned digital ones, what lessons might we take?
    • David McGavock
       
      Conclusions
  • The Jacobs/Moses debate suggests we need to be cautious of architectures that offer convenience and charge isolation as a price of admission. This is the concern Eli Pariser articulates in his (excellent) new book, “The Filter Bubble“.
  • He worries that between Google’s personalized search and the algorithmic decisions Facebook makes in displaying news from our friends, our online experience is an increasingly isolated one,
  • They’re cars, rather than public transit or busy sidewalks.
  • A map of Vancouver overlaid with my friends’ recommendations is one thing; one that recommends restaurants based on paid advertisements and doesn’t reveal this practice is another entirely.
  • The map I want is the one that lets me shuffle not just through my friends’ preferences but through annotations from different groups: first time visitors to the city; long-time Vancouverites; foodies; visitors from Japan, Korea or China.
    • David McGavock
       
      A diverse sampling of taste
  • People’s actions inscribe their intentions onto a city.
  • Online spaces are often so anxious to show me how my friends are using a space that they obscure how other audiences are using it.
  • It’s possible to find out what’s popular on Facebook to an audience broader than that of your friends.
    • David McGavock
       
      Something Google+ should consider
  • One of the reasons curation is such a helpful strategy for wandering is that it reveals community maxima. It can be helpful to know that Times Square is the most popular tourist destination in New York if only so we can avoid it.
  • knowing where Haitian taxi cab drivers go for goat soup is often useful data on where the best Haitian food is to be found.
  • If you want to explore beyond the places your friends think are the most enjoyable, or those the general public thinks are enjoyable, you need to seek out curators who are sufficiently far from you in cultural terms and who’ve annotated their cities in their own ways.
    • David McGavock
       
      key to breaking the filter bubbles
  • Geocaching is its own peculiar form of community annotation, where the immediate goal is leaving your signature on someone else’s logbook, but the deeper goal is encouraging you to explore in a way you otherwise wouldn’t.
  • SF0, founded by a trio of Chicagoans transplanted to San Francisco, was designed to encourage players to discover things they’d never seen or done in the city, in a way that encouraged independence and exploration.
  • Combining the insights we may find from studying the organization of cities with the ability to reshuffle and sort digitally may let us think about designing online spaces for serendipity in different and powerful ways.
    • David McGavock
       
      Conclusion?
  • - How do we design physical spaces to encourage serendipity? - What lessons about serendipity in physical spaces can we bring into the virtual realm? - How can we annotate the physical world, digitally, in ways that expand our encounters with the world, rather than limiting them?
    • David McGavock
       
      Questions over conclusion
  • We hope that cities are serendipity engines. By putting a diverse set of people and things together in a confined place, we increase the chances that we’re going to stumble onto the unexpected. It’s worth asking the question: do cities actually work this way?
  • Most of us are fairly predictable
  • We hope for random encounter with a diverse citizenry to build a web of weak ties that increases our sense of involvement in the community, as Bob Putnam suggested in Bowling Alone. And we worry that we may instead isolate and cocoon ourselves when faced with a situation where we feel like outsiders, as Putnam’s recent research suggests.
  • “Census data can describe the segregation of my block, but how about telling me how segregated my life is? Location data points in that direction.
  • Nathan Eagle, who has worked with Sandy Pentland at MIT’s Media Lab on the idea of “reality mining”, digesting huge sets of data like mobile phone records, estimates that he can predict the location of “low-entropy individuals” with 90-95% accuracy based on this type of data
  • We all filter the places we live into the places where we’re regulars and the ones we avoid, the parts of town where we feel familiar and where we feel foreign. We do this based on where we live, where we work, and who we like to spend time with.
  • I’m less concerned about left-right polarization in the US, and more concerned about us/them polarization around the world
  • through the design of the systems we use and our behavior with those systems, I see reasons to worry that our use of the internet may be less cosmopolitan and more isolated that we would hope.
  • There were – and are – reasons to distrust curators, but there’s a critical aspect of their work I believe we need to preserve as we move towards new models for organizing news.
    • David McGavock
       
      interesting view of curation
  • Countries that have more than 40 million or more internet users generally have a very strong bias towards local sources – the mean is roughly 95%/5%, which makes Americans look (slightly) cosmopolitan in comparison.
  • US broadcast media focuses much more on entertainment stories than on international news.)
  • What’s striking to me about this preference data is that there’s so little effort required to access international news sources like BBC, the Times of India or the Mail and Guardian – they’re one click away and don’t require crossing a language barrier – and how strong the “local” bias for national news sources appears to be.
  • on January 12th, I published “What if Tunisia had a revolution, but nobody watched?“… and I got a lot of phone calls when Ben Ali fled the country two days later.
  • The revolution in Tunisia caught intelligence and diplomatic services around the world flat-footed. It didn’t have to – there was a wealth of information being published on Tunisian Facebook pages
  • I’m forced to admit that there’s no way I would have known about the revolution brewing if I didn’t have close Tunisian friends.
  • I’m less interested in the ways in which we limit our paths through cities than in how we constrain what we do and don’t encounter online.
    • David McGavock
       
      key point
  • On the other hand, curators invariably have biases
  • We need mechanisms to ensure that search gets complemented with serendipity.
    • David McGavock
       
      Point we have been discussing. Filter bubbles
  • Facebook offers a different answer to the question, “What do I need to know?” – “You need to know what your friends and your friends of friends already know that you do not.”
    • David McGavock
       
      Facebook world = ummm....
  • there’s a decent chance that their collective intelligence has some blind spots
  • The problem, of course, is that if your friends don’t know about a revolution in Tunisia or a great new Vietnamese restaurant, you may not know either.
  • It’s worth asking whether that bubble is able to provide us with the serendipity we hope for from the web.
  • Serendipity, at first glance, looks like the positive side of unintended consequences, the happy accident. But that’s not what the term meant, at least originally.
  • The word was coined by Horace Walpole, an 18th century British aristocrat,
  • A Google search turns up 11 million pages with the term, including restaurants, movies and gift shops named “serendipity”, but very few on unexpected discovery through sagacity.
    • David McGavock
       
      Serendipity vs. Sagacity
  • he refers to a Persian fairy tale, The Three Princes of Serendip, in which the titular characters were “always making discoveries, by accidents and sagacity, of things they were not in quest of.”
  • Louis Pasteur observed, “In the fields of observation chance favors only the prepared mind.”
  • In “The Travels and Adventures of Serendipity”, he and Barber explore discovery in a General Electric laboratory under the leadership of Willis Whitney, who encouraged a work environment that focused as much on fun as it did on discovery.
    • David McGavock
       
      Sounds like Google. Tinkering, time to play, time to work.
  • If we want to create online spaces to encourage serendipity, we might start by learning from cities.
    • David McGavock
       
      Moving to the point of online learning
  • Our loss, I believe, is that we’ve lost sight of the idea that we could prepare ourselves for serendipity, both personally and structurally.
  • vibrancy comes from the ongoing chance encounter between people using a neighborhood for different purposes, encountering one another as their paths intersect and cross.
  • The neighborhoods Jacobs celebrates are certainly not the most efficient in terms of an individual’s ability to move quickly and independently. Vibrancy and efficiency may not be diametrically opposed, but it’s likely that the forces are in tension.
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