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The ODNI-OUSD(I) Xamine Challenge: Machine Verification of Collected Information

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Posted May 17, 2018

Machine-based approaches to generating and evaluating analytic products from disparate structured and unstructured data types are emerging areas of research for the U.S. Intelligence Community (IC). As these approaches mature beyond demonstration systems with controlled data sources, such IC systems will require a means for inspecting and ensuring the integrity of the data that are ingested by these systems.

These considerations will become particularly critical as the information available to the IC’s analytic community continues to exceed the ability for traditional, human vetting.  Accordingly, the ODNI and OUSD(I) are seeking ideas and descriptions of a viable technical approach for enabling the automated validation of information prior to the dissemination of machine-generated intelligence products.

total award pool of $75,000 is available for this Challenge with a guaranteed payout of $25,000.

The ODNI and OUSD(I) are seeking ideas and descriptions of a viable technical approach for enabling the automated inspection and validation of uncertain information prior to the dissemination of machine-generated intelligence products.  For this Ideation Challenge, Solvers are asked to submit their ideas along with a well-supported, technology-based justification for how the proposed approach could rapidly and objectively determine the trustworthiness of input information.  An additional award pool of $50,000 is available for Solvers who are able to provide, upon request from the Seekers, more detailed information such as a pseudo-code implementation of their proposed solution.

Source: innocentive.com

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