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My colleague Ankit Sharma at the London School of Economics (LSE) recently sent me his research paper entitled “Crowdsourcing Critical Success Factor Model” (PDF). It’s definitely worth a read. Ankit is interested in better understanding the “dynamic and innovative discipline of crowdsourcing by developing a critical success factor model for it.”
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Can collective intelligence save the planet? “It’s the only hope we have,” says Prof. Thomas Malone...How can people and computers be connected so that collectively they act more intelligently than any person, group, or computer has ever done before? One of their main projects is the Climate Collaboratorium, which harnesses the collective intelligence of thousands across the world to develop plans for what we can do about global climate change.
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If cognition is the ability to remember, think, and reason for an individual, then social cognition, by extension, should have the definition: the ability of a group of people, community, or culture to collectively remember, think, and reason. As an example, our ability to remember history by writing it down on paper or stone or computer and share that with other people is a form of social cognition. Wikipedia is an example of social cognition. A group of people getting together to create a written history of our knowledge on this planet.
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Your new book Darwin’s Pharmacy talks about the relationship between psychedelic plants and the accelerating evolution of the “noosphere”, which some define as the knowledge substrate of reality, the invisible, informational dimension of collective intelligence and human knowledge. Is this more or less accurate?
luiy's curator insight,
March 30, 2013 7:43 AM
Richard Doyle also goes by mobius, an indicator of just how important interconnections are to him – and how transformative, bedeviling and hypnotic his ideas can be. As a professor of English and science, technology, and society at Pennsylvania State University, he has taught courses in the history and rhetoric of the emerging technosciences – sustainability, space colonization, biotechnology, nanotechnology, psychedelic science, information technologies, biometrics – and the cultural and literary contexts from which they sprout. An explorer of the exciting and confusing rhetorical membrane between humans and an informational universe, he argues that in co-evolution with technology, we find ourselves in an evolutionary ecology that is as vital as it is unexplored.
In Darwin’s Pharmacy: Sex, Plants and the Evolution of The Noösphere, the transhumanist philosopher focuses on his favorite technology: the psychedelic, “ecodelic” plants and chemicals (read: drugs) that can help make us process more information and make us aware of the effect of language and music and nature on our consciousness, thereby offering us an awareness of our own ability to effect our own consciousness through our linguistic and creative choices. And that, from an evolutionary perspective, is simply sexy.
JASON: Your new book Darwin’s Pharmacy talks about the relationship between psychedelic plants and the accelerating evolution of the “noosphere”, which some define as the knowledge substrate of reality, the invisible, informational dimension of collective intelligence and human knowledge. Is this more or less accurate?
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The Extended Mind is a book in the field of philosophy of mind. The "extended mind" refers to an emerging concept that addresses the question as to the division point between the mind and the environment by promoting the view of active externalism. This view proposes that some objects in the external environment are utilized by the mind in such a way that the objects can be seen as extensions of the mind itself. Specifically, the mind is seen to encompass every level of the cognitive process, which will often include the use of environmental aids.
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We can do better together than individually, right? We know this is true. There are countless examples in nature, in systems, and in society that validate this premise. And yet, when we try to behave more intelligently collectively, we often seem to fail in spite of our best intentions. Why? What are the factors that allow us to maximize our collective intelligence? More specifically, how can philanthropy both behave more intelligent collectively and catalyze that same behavior in other systems?
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Post-biological technologies enable us to become directly involved in our own transformation, and are bringing about a qualitative change in our being. The emergent faculty of cyberception, our artificially enhanced interactions of perception and cognition, involves the transpersonal technology of global networks and cybermedia. We are learning to see afresh the processes of emergence in nature, the planetary media-flow, while at the same time re-thinking possibilities for the architecture of new worlds. Cyberception not only implies a new body and a new consciousness but a redefinition of how we might live together in the interspace between the virtual and the real.
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Magnetic South is using IFTF's Foresight Engine, an online discussion game designed to help people explore the future together. Whether you have five minutes or five hours, you can help explore what the future will be like, and help create the future of Christchurch. Draw on the collected knowledge and creativity of everyone playing to spotlight unexpected challenges, and help reveal new solutions to keep Christchurch vibrant and thriving in the next few decades.
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A new approach that we call "collective curation" represents a more effective and more efficient way to get the information we need.
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This paper presents the rationale for treating Contested Collective Intelligence (CCI) as a significant and distinctive dimension of the broader Collective Intelligence design space for organizations. CCI is contrasted with other forms of CI, and building on research in sensemaking, and the modeling of dialogue and debate, we motivate a set of requirements for an ideal CCI platform. We then describe a social, semantic annotation tool called Cohere, which serves as our working prototype of the CCI concept, now being deployed in several communities. p. 2
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Meg’s class is run like a choose-your-own British literature adventure! Students move through literary eras together, but they choose their own texts and areas of focus. Students track their learning by basically writing their own learning plans. They identify standards they work toward, they write their own questions, and they identify their own understandings. Meg conferences with them, monitors their progress, and teaches them to question and reflect. I love this whole concept. It makes learning collaboratively differentiated and amazing!
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A fundamental resource -- a wiki handbook from MIT Center on Collective Intelligence.
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RT @twmalone: We just announced the first conference on Collective Intelligence: http://www.ci2012.org...
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Researchers have turned the biochemical challenge of figuring out protein folding structures into a computer game. The best players can beat a computerized algorithm by rapidly recognizing problems that the computer can't fix.Today's issue of Nature contains a paper with a rather unusual author list. Read past the standard collection of academics, and the final author credited is... an online gaming community.
Scientists have turned to games for a variety of reasons, having studied virtual epidemics and tracked online communities and behavior, or simply used games to drum up excitement for the science. But this may be the first time that the gamers played an active role in producing the results, having solved problems in protein structure through the Foldit game.he Nature article makes it clear that researchers in other fields, including astronomy, are starting to try similar approaches to getting the public to contribute something other than spare processor time to scientific research. As long as the human brain continues to outperform computers on some tasks, researchers who can harness these differences should get a big jump in performance.
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Identification of phenomena in our amazing universe by coding is just not as effective as the slick, and subconscious intuition of the alert human brain. This is a unique skill that neuroscientists don't even remotely understand, and it is certainly a skill obviously lacking in all computers. And, it is citizen scientists who are using their unique skill to actually drive computational research and development. These efforts will help scientists better understand what results intuition can bring, and possibly how to develop computational platforms to perform in similar ways.
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élan proposes providing a technical and social
platform for collaborative sensing and meaning-making to augment the collective intelligence, wisdom, and capabilities of groups and movements on the leading edge of social evolution.
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Cognitive technology allows cognizers to offload some of the functions they would otherwise have had to execute with their own brains and bodies alone; it also extends cognizers' performance powers beyond those of brains and bodies alone. Language itself is a form of cognitive technology that allows cognizers to offload some of their brain functions onto the brains of other cognizers. Language also extends cognizers' individual and joint performance powers, distributing the load through interactive and collaborative cognition. Reading, writing, print, telecommunications and computing further extend cognizers' capacities. And now the web, with its distributed network of cognizers, digital databases and sofware agents, has become the Cognitive Commons in which cognizers and cognitive technology can interact globally with a speed, scope and degree of interactivity that yield performance powers inconceivable with unaided individual cognition alone.
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I discuss three human capabilities that are amenable to social augmentation: problem solving, learning, and creativity. I illustrate them with challenge problems from my work: 1) healthcare: helping consumers find relevant health information without search; 2) energy: helping experts troubleshoot complex turbine failures; 3) learning: scaling education to a hundred million people; and 4) creativity: enabling average users to create artificial intelligence agents without programming
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From
hbr
There’s little correlation between a group’s collective intelligence and the IQs of its individual members. But if a group includes more women, its collective intelligence rises.
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The basic premise underlying collective intelligence is simple. Sometimes, somehow, groups exhibit intelligence that far exceeds the sum of its parts. Ants are a great example of this. Individually, ants are – quite frankly – dumb. They do three things well:
They carry heavy objects They leave trails They follow trails In isolation, this list is not impressive. But in collaboration with others, ants do amazing things.
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“Quality” curation takes higher level thinking skills. It requires responsibility towards your network who rely on you to filter information on a specific topic. Curation requires the ability to organize, categorize, tag and know how to make the content available to others and to be able to format and disseminate it via various platforms.
How can we take advantage of Collective Curation?
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Tweet TED’s Chris Anderson says the rise of web video is driving a worldwide phenomenon he calls Crowd Accelerated Innovation — a self-fueling cycle of learning that could be as significant as the invention of print.
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Matt Ridley is the award-winning author of provocative books on evolution, genetics and society. The Internet is the latest and best expression of the collective nature of human intelligence.
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Is our increasing reliance on Google rotting our brains and turning us in to lazy halfwits? Or could search engine technology actually be exercising our brains in ways don’t fully understand yet?...
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From
ge
How can we predict phenomena in complex systems, like insurgent activity, strategic business decisions of competitors, etc.? Human Experts are far from making perfect predictions, and computer models are more suitable to predicting trends. Researchers at MIT used prediction markets to connect people and computer-agents, showing that the combination can do better than groups of humans-only, or computers-only.
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