Crowd-Sourced Analytics*

Abstract

*Formerly Deep ISR Processing by Crowds The Crowd-Sourced Analytics program goes beyond the concept of putting the human in the loop, and instead looks to harness the unique cognitive and creative abilities of large numbers of people to dramatically enhance the knowledge derived from a broad range of sources. This approach is unconventional in that it involves the generation of analysis products based on distributed crowd sourcing across human/machine systems. Novel frameworks will be developed to capture the experience base of users and systems to allow optimum problem partitioning, quantitative confidence assessment, and validation in environments that may be partially compromised by adversaries.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2012
Source ID
358d6adaa31da5bd63eb41939e1c8ecc

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Maritime and Naval Warfare Studies
  • Regression Analysis.

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