Crowdsourcing as a Map Reduce Job

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1120
Agency Tracking Number: N131-063-0012
Amount: $79,993.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2013
Solicitation Topic Code: N131-063
Solicitation Number: 2013.1
Small Business Information
6022 Constitution Avenue NE, Albuquerque, NM, -
DUNS: 094142122
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Kshanti Greene
 Sr. Research Scientist
 (505) 255-8611
Business Contact
 Marlene Blemel
Title: President
Phone: (505) 255-8611
Research Institution
MSI proposes to develop automated mechanisms to dissect incoming queries and engage appropriate cloud-based resources to address them. To automate this process, we propose iterative query refinement between an automated analyzer (called the Matchmaker) and human experts. The Matchmaker will use keyword and semantic analysis to identify query topics. These topics will engage people with expertise in those topics who can either take on the subtasks or provide more accurate topic suggestions. When the task results are submitted, an automated Fusion Engine will compare all results with a description of the expected results (submitted by the task creator) and select the best answer. These mechanisms will extend MSI"s foundational system for massively collaborative problem solving that is being developed for a Phase II DARPA SBIR. Our framework, called ePluribus, allows collaborators to explore two key problem solving phases: understanding the situation that brought about the problem and evaluating actions that can modify the outcome of the situation. Similar to the map/reduce model, ePluribus allows people to 1) decompose complex problems into manageable components (map), 2) asynchronously provide solutions to these sub-problems, and then 3) aggregate the proposed solutions to form a collective solution integrating all significant points of view (reduce).

* Information listed above is at the time of submission. *

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