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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 <ref>{{cite journal|last=Murray|first=Derek|coauthors=Eiko Yoneki; Jon Crowcroft; Steven Hand|title=The case for crowd computing|journal=Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds (MobiHeld'10)|year=2010|page=39-44|url=http://dl.acm.org/citation.cfm?id=1851322.1851334}}</ref> <ref>{{cite journal|last=Fernando|first=Niroshinie|coauthors=Seng W. Loke; Wenny Rahayu|title=Honeybee: A Programming Framework for Mobile Crowd Computing|journal=Proceedings of the 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, (Mobiquitous 2012)|year=2012|url=http://homepage.cs.latrobe.edu.au/sloke/papers/honeybee-mobiquitous12.pdf}}</ref>.
==References==
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