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Adaptive Expert System that Learns to Detect and Track Patterns of Crime in Internet Advertisements

Award Information

Award #
2013-IJ-CX-K007
Location
Awardee County
Allegheny
Congressional District
Status
Closed
Funding First Awarded
2013
Total funding (to date)
$717,458

Description of original award (Fiscal Year 2013, $245,382)

This award was competitively made in response to a proposal submitted by Carnegie Mellon University (CMU) to a National Institute of Justice FY 2013 solicitation: "Applied Technology Research and Development for Criminal Justice Purposes". CMU proposes to develop an adaptive expert system that searches internet escort advertisements to determine which ads are associated with sex trafficking. ca/ncf

This award was competitively made in response to a proposal submitted by Carnegie Mellon University (CMU) to a National Institute of Justice FY 2013 solicitation: "Applied Technology Research and Development for Criminal Justice Purposes".

The purpose of this award is to improve the practice of searching classified ads for trafficking and other criminal activity. With a huge volume of communication and transactions moving online in recent years, many criminals also move their activity to online media, particularly classified advertisements published on the internet. Carnegie Melon plans to develop tools which can be applied to the large volume of data that has the potential to inform criminal investigations, but is currently underutilized by law enforcement.

The CMU proposal included a three year project period with a total funding requirement of $717,458. NIJ determined to fund this award incrementally providing $245,382 in FY2013. The $232,406 proposed supplemental funding is to fund the second year of this award.

nca/ncf

This award was competitively made in response to a proposal submitted by Carnegie Mellon University (CMU) to a National Institute of Justice FY 2013 solicitation: "Applied Technology Research and Development for Criminal Justice Purposes". The purpose of this award is to improve the practice of searching classified ads for trafficking and other criminal activity. With a huge volume of communication and transactions moving online in recent years, many criminals also move their activity to online media, particularly classified advertisements published on the internet. Carnegie Melon plans to develop tools which can be applied to the large volume of data that has the potential to inform criminal investigations, but is currently underutilized by law enforcement. The CMU proposal included a three year project period with a total funding requirement of $717,458. NIJ determined to fund this award incrementally providing $239,670 in FY2015

This project contains a research and/or development component, as defined in applicable law. nca/ncf

Date Created: August 28, 2013