3. “In New York, this harnessing of collective wisdom was on display on October 22 at the
New York Public Library for the Performing Arts, where the public was invited to contribute
to 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 special
collections to add and update entries to the open-source site. At any given moment
between noon and 6 p.m., an average of 20 people plugged away at their laptops and
researched materials from the library’s closed-stacks collection of newspaper
clippings, videotapes, manuscripts, correspondence, sheet music, stage
designs, programs, posters, and photographs.”
http://americanlibrariesmagazine.org/news/11012011/libraries-tap-crowd-power
http://editathon.org/
http://www.nypl.org/events/programs/2011/10/22/wikipedia-musical
6. “Faced with a tough data- analysis challenge as he struggled to answer
questions about how the immune system works, Dr. Ramy Arnaout of
Beth Israel Deaconess Medical Center took an unusual step. He went
beyond his circle of Harvard colleagues and beyond the expertise of
fellow biologists; he turned to software programmers scattered around
the world who had little expertise in the life sciences.
The result: A deeply biological problem — analyzing the makeup of
genes that produce proteins involved in the immune system’s ability to
identify microbes — could be rapidly and efficiently answered by a
community of more than 400,000 computer programmers who try to
solve competitive coding challenges posted on TopCoder, a platform
used by big companies such as Google, Intel, and Facebook.
The case study offers evidence that academic research may benefit
from adopting approaches more often employed by businesses, which
already use prizes and crowdsourcing to solve basic problems that
stymie their own research teams.”
http://www.bostonglobe.com/business/2013/02/11/crowdsourcing-innovation-harvard-study-suggests-prizes-
can-spur-scientific-problem-solving/JxDkOkuIKboRjWAoJpM0OK/story.html
https://www.innocentive.com/
http://www.topcoder.com/
7. Christian Terwiesch, “An Introduction to Operations Management”
https://www.coursera.org/course/operations
Student users solve problems presented in a MOOC on Operations Management.
Their solutions, in turn, are added to the course as examples and enhance the
course offered through the University of Pennsylvania.
8. Reader Sourcing
http://www.readersourcing.org/
A conceptual model, not put into practice on this particular site. Reader Sourcing proposes
using reader opinions in place of referees to vet scholarly papers. Each reviewer would be
rated, “so that judgments from those who have proven to be good reviewers do count more
than those who should not be trusted. Such a rating is implicitly and dynamically generated by
the system, through the continuous comparison of the judgments expressed by the readers on
each paper with its current score; providing - or having provided - correct (wrong) judgments
will therefore lead to higher (lower) reader ratings, hopefully generating a virtuous circle.”
11. http://www.digitalkoot.fi/index_en.htm
DigiTalkoot was a joint project run by the
National Library of Finland and Microtask to
index and make searchable the library's
archives of Finnish history. Where
automation has failed to recognize individual
words in scanned documents, volunteers
participate in making the fixes by playing the
games, Mole Hunt and Mole Bridge.
http://perspektiv.bf.dk/Nyheder_BPR/2011/FagligeTermer.aspx
Librarians in special libraries in Denmark
have set up a LinkedIN group where the
members try to translate library jargon
into more comprehensible language. Many
of the group members need to explain the
workings of classification or indexing to
their boss or co-workers in a company
where they are the only library
professionals
