Crowdsourcing Site Screenshots


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Crowdsourcing Site Screenshots

  1. 1. Crowdsourcing ofResearch InformationSelected SitesProfessor Beth EvansBrooklyn College LibraryMay 17, 2013
  2. 2. Users Add Content
  3. 3. “In New York, this harnessing of collective wisdom was on display on October 22 at theNew York Public Library for the Performing Arts, where the public was invited to contributeto Wikipedia’s articles on musical theater. The six-hour event, which NYPLcalled“Wikipedia! The Musical!” attracted dozens of people who made use of the library’s specialcollections to add and update entries to the open-source site. At any given momentbetween noon and 6 p.m., an average of 20 people plugged away at their laptops andresearched materials from the library’s closed-stacks collection of newspaperclippings, videotapes, manuscripts, correspondence, sheet music, stagedesigns, programs, posters, and photographs.”
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  5. 5. Users Work With Contentto Produce New Content
  6. 6. “Faced with a tough data- analysis challenge as he struggled to answerquestions about how the immune system works, Dr. Ramy Arnaout ofBeth Israel Deaconess Medical Center took an unusual step. He wentbeyond his circle of Harvard colleagues and beyond the expertise offellow biologists; he turned to software programmers scattered aroundthe world who had little expertise in the life sciences.The result: A deeply biological problem — analyzing the makeup ofgenes that produce proteins involved in the immune system’s ability toidentify microbes — could be rapidly and efficiently answered by acommunity of more than 400,000 computer programmers who try tosolve competitive coding challenges posted on TopCoder, a platformused by big companies such as Google, Intel, and Facebook.The case study offers evidence that academic research may benefitfrom adopting approaches more often employed by businesses, whichalready use prizes and crowdsourcing to solve basic problems thatstymie their own research teams.”
  7. 7. Christian Terwiesch, “An Introduction to Operations Management” users solve problems presented in a MOOC on Operations Management.Their solutions, in turn, are added to the course as examples and enhance thecourse offered through the University of Pennsylvania.
  8. 8. Reader Sourcing conceptual model, not put into practice on this particular site. Reader Sourcing proposesusing reader opinions in place of referees to vet scholarly papers. Each reviewer would berated, “so that judgments from those who have proven to be good reviewers do count morethan those who should not be trusted. Such a rating is implicitly and dynamically generated bythe system, through the continuous comparison of the judgments expressed by the readers oneach paper with its current score; providing - or having provided - correct (wrong) judgmentswill therefore lead to higher (lower) reader ratings, hopefully generating a virtuous circle.”
  9. 9. Users Transcribe, Decodeor Translate Content
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  11. 11. was a joint project run by theNational Library of Finland and Microtask toindex and make searchable the librarysarchives of Finnish history. Whereautomation has failed to recognize individualwords in scanned documents, volunteersparticipate in making the fixes by playing thegames, Mole Hunt and Mole Bridge. in special libraries in Denmarkhave set up a LinkedIN group where themembers try to translate library jargoninto more comprehensible language. Manyof the group members need to explain theworkings of classification or indexing totheir boss or co-workers in a companywhere they are the only libraryprofessionals
  12. 12.“We are looking for volunteers to translate the documentsfrom Yiddish to English”.