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Zhen Gohzhen.goh@cognitive-edge.comCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
Distributed cognitionCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
Wisdom of crowdsCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201the question is:how to control the ...
3 conditions for wisdoms of crowds• Agents must possess tacit knowledge of the situation they are makinga judgement on• Ag...
ordinary networks that can be activated forextraordinary needCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat....
human meta-dataCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
Indexing between PointsClustering toward the left of the triangle wouldimply a bias toward a capability- and ability-drive...
Copyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
Copyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
Copyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201Zhen Gohzhen.goh@cognitive-edge.com
Collective Intelligence for Real-Time Sensemaking
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Collective Intelligence for Real-Time Sensemaking

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Presented at Crowdsourcing Week 2013 by Zhen Goh, Cognitive Edge.

Learn more at CrowdsourcingWeek.com.

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Collective Intelligence for Real-Time Sensemaking

  1. 1. Zhen Gohzhen.goh@cognitive-edge.comCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  2. 2. Distributed cognitionCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  3. 3. Wisdom of crowdsCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201the question is:how to control the sample?
  4. 4. 3 conditions for wisdoms of crowds• Agents must possess tacit knowledge of the situation they are makinga judgement on• Agents must not be aware of what other other agents have guessed• No major personal stake in the outcomeCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  5. 5. ordinary networks that can be activated forextraordinary needCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201Cartoon courtesy of Gaping Void
  6. 6. human meta-dataCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  7. 7. Indexing between PointsClustering toward the left of the triangle wouldimply a bias toward a capability- and ability-driven approach, whereas clustering to theright would imply that meritocracy hasinculcated a highly individualistic andcompetitive approach, which does notnecessarily take into account the need tohave achieved success through one’s ownmerit (i.e. elitist). If clustering occurs towardthe bottom of the triad, it would imply a cynicalpopulace that possesses the perspective thatequity is an empty concept.Concept of meritocracyHow it is experienced and constructed by the populace. The way the apices, together with the differentangles are constructed represent different ways in which the concept is composedCopyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  8. 8. Copyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  9. 9. Copyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201
  10. 10. Copyright © 2013 Cognitive Edge. All Rights Reserved. US Pat. 8,031,201Zhen Gohzhen.goh@cognitive-edge.com

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