Hotspotting tool to predict white collar crime at a city block level nationwide

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"The New Inquiry is pleased to announce the launch of White Collar Crime
Risk Zones, a predictive policing application that targets white collar
crime."

> White Collar Crime Risk Zones uses machine learning to predict where
> financial crimes will happen across the U.S. The system was trained on
> incidents of financial malfeasance from 1964 to the present day,
> collected from the Financial Industry Regulatory Authority (FINRA), a
> non-governmental organization that regulates financial firms.
>
> The system uses industry-standard predictive policing methodologies,
> including Risk Terrain Modeling and geospatial feature predictors,
> which enables the tool to predict financial crime at the
> city-block-level with an accuracy of 90.12%.
>
> Predictive policing apps are designed and deployed to target so-called
> “street” crime, reinforcing and accelerating destructive policing
> practices that disproportionately target impoverished communities of
> color.
>
> Unlike typical predictive policing apps which criminalize poverty,
> White Collar Crime Risk Zones criminalizes wealth.
>
> To learn more about our technical methodology, read our white paper.
>
> https://thenewinquiry.com/white-collar-crime-risk-zones/
>