Data Analytic Recidivism Tool (DART) [DAFT?]

Data Analytic Recidivism Tool (DART)

From the website:

The Data Analytic Recidivism Tool (DART) helps answer questions about recidivism in New York City.

  • Are people that commit a certain type of crime more likely to be re-arrested?
  • What about people in a certain age group or those with prior convictions?

DART lets users look at recidivism rates for selected groups defined by characteristics of defendants and their cases.

A direct link to the DART homepage.

After looking at the interface, which groups recidivists in groups of 250, I’m not sure DART is all that useful.

It did spark an idea that might help with the federal government’s acquisition problems.

Why not create the equivalent of DART but call it:

Data Analytic Failure Tool (DAFT).

And in DAFT track federal contractors, their principals, contracts, and the program officers who play any role in those contracts.

So that when contractors fail, as so many of them do, it will be easy to track the individuals involved on both sides of the failure.

And every contract will have a preamble that recites any prior history of failure and the people involved in that failure, on all sides.

Such that any subsequent supervisor has to sign off with full knowledge of the prior lack of performance.

If criminal recidivism is to be avoided, shouldn’t failure recidivism be avoided as well?

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