The slides of a tutorial on crowd sourcing by Praveen Paritosh and Panos Ipeirotis that was given in WWW 2011 are now online. A closely related tutorial on Human Computation by Luis von Ahn and Edith Law will be given in AAAI 2011.
I’m not sure why I feel that this area is related to AGT/E, but I do.
ht: Panos Ipeirotis.
Regarding why you feel it’s related to AGT/E, maybe you saw this talk? http://www.eecs.northwestern.edu/distinguished-speaker-series/icalrepeat.detail/2011/02/23/237/61%7C60%7C57%7C74%7C59%7C88/meet-the-faculty-lecture-jason-hartline.html
the tutorial on Human Computation llink does not work.
fixed.
Not sure where is the doubt. Do not we need incentive mechanisms so that the individuals in a crowd do the best job! There is also a huge literature on scoring rules and prediction markets etc, where the job is to guess the information and report it. Some of the crowd source related jobs, such as a search engine is asking judges to label the pages, are tasks related to guess a label for a page and report it to the search engine. If you just pay by the numbers of pages labeled then the quality of the labels will go down. So an algorithmic mechanism design task is to design a scoring rule which balances the quality and quantity of the pages being labeled.
Other crowd source related tasks such as the Red Balloon challenge of DARPA was about mechanism design. MIT team won because they designed a good mechanism. In fact, there are two levels of mechanism designs in such challanges. One is done by the challenge designer, such as, reward is given to the winner but the challenge designer owns all the entries. In case winning itself require collaboration across a crowd, the winning team itself needs a mechanism to distribute the prize.
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Tutorial on Crowdsourcing « Algorithmic Game-Theory/Economics…
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Thnak you for this tutorial .