Crowdsourcing has proven its business success.
Crowdsourcing (crowdsoursing) - the use of the collective mind of thousands of people, their work, including for commercial purposes.
Inspired by the success of crowdsourcing in the software industry (the open source movement), traders in a variety of industries - journalism, music, biotechnology, chip design - are trying to use free or cheap crowd labor. One of the applications of crowdsourcing is found in the pharmaceutical industry. Large corporations thus reduce the cost of developing new drugs. In an interview with a civilian journalist, Alfeus Bingham, the former head of the R & D service of the pharmaceutical company Eli Lilly and co-founder of the crowdsourcing company Innocentive, talks about this. This is a fairly well-known company that gives solution to complex R & D tasks to be “torn to pieces” by the general public by offering cash prizes to the one who can solve the problem first.
Innocentive is engaged in the integration of crowdsourcing in the R & D process, as well as in other areas of the economy and business. True, big business has not yet recognized it as a reliable assistant, so Innocentive has to constantly prove the effectiveness of a new approach to scientific research. And they do it well. An authoritative Harvard Business Review magazine recently wrote about Innocentive.
The article provides some interesting numbers. For example, a clear proof that crowdsourcing is more effective than regular R & D development is the figure of 30% - just as many tasks that regular research scientists could not solve, were successfully solved by outsiders.
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One can imagine how in the future setting of tasks for crowdsourcing, publishing them on the Internet and issuing prize money will be automated and carried out using a software agent that is programmed to fulfill a specific goal. If you ensure the anonymity of the publication and transfer of money, then the tasks may be criminal in nature, especially since the issuance of remuneration is not a prerequisite for successful crowdsourcing. The classic example is from Stirling with automatic tracking of the frequency of mentioning politicians in the press and placing an order to eliminate those who are beginning to gain popularity and overcome a certain border.
via Wired
Inspired by the success of crowdsourcing in the software industry (the open source movement), traders in a variety of industries - journalism, music, biotechnology, chip design - are trying to use free or cheap crowd labor. One of the applications of crowdsourcing is found in the pharmaceutical industry. Large corporations thus reduce the cost of developing new drugs. In an interview with a civilian journalist, Alfeus Bingham, the former head of the R & D service of the pharmaceutical company Eli Lilly and co-founder of the crowdsourcing company Innocentive, talks about this. This is a fairly well-known company that gives solution to complex R & D tasks to be “torn to pieces” by the general public by offering cash prizes to the one who can solve the problem first.
Innocentive is engaged in the integration of crowdsourcing in the R & D process, as well as in other areas of the economy and business. True, big business has not yet recognized it as a reliable assistant, so Innocentive has to constantly prove the effectiveness of a new approach to scientific research. And they do it well. An authoritative Harvard Business Review magazine recently wrote about Innocentive.
The article provides some interesting numbers. For example, a clear proof that crowdsourcing is more effective than regular R & D development is the figure of 30% - just as many tasks that regular research scientists could not solve, were successfully solved by outsiders.
')
One can imagine how in the future setting of tasks for crowdsourcing, publishing them on the Internet and issuing prize money will be automated and carried out using a software agent that is programmed to fulfill a specific goal. If you ensure the anonymity of the publication and transfer of money, then the tasks may be criminal in nature, especially since the issuance of remuneration is not a prerequisite for successful crowdsourcing. The classic example is from Stirling with automatic tracking of the frequency of mentioning politicians in the press and placing an order to eliminate those who are beginning to gain popularity and overcome a certain border.
via Wired
Source: https://habr.com/ru/post/12266/
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