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Collaborations 101

Collaborations 101. A celebration of Collaboration - Forced or a natural progression? . “a recursive process where two or more people or organizations work together toward an intersection of common goals,” according to Wikipedia (irony intended). Collaboration is always ‘good’

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Collaborations 101

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  1. Collaborations 101 A celebration of Collaboration - Forced or a natural progression?

  2. “a recursive process where two or more people or organizations work together toward an intersection of common goals,” according to Wikipedia (irony intended).

  3. Collaboration is always ‘good’ • But it is not always ‘for the good’

  4. Early Years • Individual gain • Hunters and Gathers • Language, silos and stored Knowledge • Library • Tribes, Society and Nation States

  5. Ants do it too ! • Collaborative process at work in ants: • Act like the cells of a single beast with a collective mind. • The larger creature that the colony seemed to form a "superorganism".

  6. The Divine existence • Nature of Nature itself • Synergy, sum is greater than the whole etc..

  7. Conclusion? • Ordinary people can typically gain direct power by acting collectively. • The “Communist Manifesto”– Karl Marx • Battle at Lake Kruger

  8. Collective intelligence (CI) • Learn by Interaction (Presentation)? • "the capacity of human communities to evolve towards higher order complexity and harmony, through such innovation mechanisms as differentiation and integration, competition and collaboration.” • The boy who harnessed the wind • Collective IQ

  9. The Wisdom of Crowds • Why many are smarter than the few • Key concept, aggregation • Guess the weight!

  10. Even the Intelligence agency has a Wiki • Intellipedia • Not open to public of course

  11. Disclaimer! • Not all crowds are wise • Separate wise from irrational

  12. Only as good as the smartest member • Mob/Roit • New delhi monkey man • UFO/ Aliens • Mass Hysteria

  13. So what next? • In 2005, there were as many as 1,018,057,389 Internet users worldwide (CIA 2008) • a meeting of minds and collaboration of knowledge

  14. The largest… • Democratic media website • Online community • Most comprehensive encyclopedia • Video archive • Movie review database • Auction market • Travel resource

  15. Folding@home

  16. Break away • The conventional view • Ideas flowing back from the consumers • Sustaining consumer driven innovation is the only true competitive force • Consumers to become producers multiplies resources

  17. User Generated Content • Conversational Vs. Packaged • Key characteristic of so-called Web 2.0 which encourages the publishing of one's own content and commenting on other people's

  18. The revolution • Facebook/ Iphone apps • Opensource software • Videogame Maps • Paid to post : Freelancing, Metacafe, youtube • Gorilla Marketing: Radio head, Arctic Monkeys • Freakanomics

  19. Who invented the mountain bike?

  20. Google: Map Maker

  21. Karachi: Time Lapse

  22. Side note • ‘Pakistani users outdo all others in contributing data to Google mapmaker’

  23. Crowd sourcing • Distributed problem-solving and production model. • Solutions from amateurs or volunteers working in their spare time • Out sourcing Vs. Crowd sourcing. Difference?

  24. Example • Netflix prize • Free lancing websites

  25. Drawbacks • Accountability issues • Quality issues • Zero editorial integrity

  26. Don Tapscott and Anthony D. Williams Collective Intelligence in Mass Communication: • Openness • Peering • Sharing • Acting Globally

  27. Types of CI

  28. Out with the traditional and Conventional • The new business scenario • High User involvement • Rethinking selling and marketing • Will it blend?

  29. Collaborative filtering • The method of making automatic predictions (filtering) about the interests of a user by collecting taste information from many users (collaborating). • The underlying assumption of CF approach is that those who agreed in the past tend to agree again in the future

  30. Cont.. • Specific to the user, but use information gleaned from many users • E.g. • Last fm • Net flix (Started on a collaboration project to enhance collaborative filtering)

  31. 2 steps • Look for users who share the same rating patterns with the active user (the user whom the prediction is for). • Use the ratings from those like-minded users found in step 1 to calculate a prediction for the active user

  32. Item-based CF • Popularized by Amazon.com (users who bought x also bought y) • Creates a item matrix

  33. The Future • Web 3.0 • The rise of the amateur professional • Consumer driven innovation is the only true competitive force against a monopoly • No more the leader, flock intelligence • Democratic Journalism

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