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Describe Large-Scale Uses for Human-Machine Teamwork

65 Submissions
$20,000 USD
Challenge closed

Challenge overview

The Seeker is looking for little-known or innovative ways to combine massive numbers of humans with specialized computer systems, to produce economic outcomes that benefit a business or organization. 

This is an Ideation Challenge with a guaranteed award for at least one submitted solution, although the Seeker intends to split the award amongst 3-5 Solvers.

 

The integration of humans and computers is a hallmark of the modern working environment and our rapidly evolving global economy.  The objective of this Challenge is to identify new ways of combining the work of large teams (e.g., 10-1000) of people, working with computers or other information technology to achieve a more efficient or effective economic outcome than what humans or machines could do individually.  Opportunities should be presented as specific use cases.  More details, including characteristics of a good use case, are available in the detailed description section of this Challenge. 

This is an Ideation Challenge, which has the following unique features:

  • There is a guaranteed award.  The awards will be paid to the best submission(s) as solely determined by the Seeker. The total payout will be $20,000, with at least one award being no smaller than $5,000 and no award being smaller than $2,000.  Ideally, the Seeker would like to split the total award amongst 3-5 submissions. 
  • Solvers are not required to transfer exclusive intellectual property rights to the Seeker.  Rather, by submitting a proposal, Solvers grant to the Seeker a royalty-free, perpetual, and non-exclusive license to use any information included in this proposal.

After the Challenge deadline, the Seeker will complete the review process and make a decision with regards to the Winning Solution(s).  All Solvers who submitted a proposal will be notified on the status of their submissions; however, no detailed evaluation of individual submissions will be provided.

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