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Crowd computing

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Crowd computing Is an overarching term which defines the myriad tools that enable idea sharing, non-hierarchical decision making and the full utilization of the world’s massive cognitive surplus”-the ability of the world’s population to collaborate on large, sometimes global projects. [1]Shirky, Clay. TED Talk June 2010 http://www.ted.com/talks/clay_shirky_how_cognitive_surplus_will_change_the_world.html Crowd computing brings together the strengths of crowdsourcing, automation and machine learning.

An early example of crowd computing was the discovery of a gold deposit location at the Moribund Red Lake Mine in Northern Ontario. Using all available data, the company, Goldcorp, Inc. had been unable to identify the location of new deposits on their land. In desperation, the CEO put all relevant geological data on the web and created a contest, open to anyone in the world. An obscure firm in Australia used their software and algorithms to crack the puzzle. As a result, the company found an additional 8 million ounces of gold at the mine. The only cost was the nominal prize money awarded.

There is also an interpretation of crowd computing for mobile devices, in the context of mobile computing, called mobile crowd computing.[2][3]

References

  • Brown, Eric J. and William A. Yarberry, Jr. (2009). The Effective CIO. Boca Raton: Taylor & Francis.
  • Hurley Hall, Sharon. "Startup to Watch: Crowd Control". Podium Ventures. Retrieved 8 June 2012.
  • Popper, Ben (17 April 2012). "Crowd computing taps artificial intelligence to revolutionize the power of our collective brains". Venture Beat. Retrieved 8 June 2012.
  • Shirky, Clay. Cognitive Surplus: Creativity and Generosity in a Connected Age (2010) - ISBN 978-1-59420-253-7
  • Surowiecki, J. (2005). The Wisdom of Crowds. New York: Random House, Inc.
  • Cheminformatics Crowd Computing for Tuberculosis Drug Discovery (3C4TB) Project Page

More References

  1. ^ Cite error: The named reference undefined was invoked but never defined (see the help page).
  2. ^ Murray, Derek (2010). "The case for crowd computing". Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds (MobiHeld'10): 39–44. {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)
  3. ^ Fernando, Niroshinie (2012). "Honeybee: A Programming Framework for Mobile Crowd Computing" (PDF). Proceedings of the 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, (Mobiquitous 2012). {{cite journal}}: Unknown parameter |coauthors= ignored (|author= suggested) (help)