White Collar Crime Risk Zones (Predicting Financial Crime Faces)

Brief description

Machine Learning was used to predict in what areas of New York (Manhattan) White Collar Crime would most probably appear. To each of these areas a composite face was generated based on a dataset of high executive LinkIn profiles in that area.

Work that the situation appears in

Title Publication Type Year Creator
White Collar Crime Risk Zones Art, Installation art, Online art Sam Lavigne
Who does what?
Aesthetic characteristics
Colours
Machine P.O.V
Not machine P.O.V.
Notes
Adding more to the situation?
Divided Satellite images and ML and gave them own verbs because they are not really doing the same thing. (Linda)

Authored by

UUID
84c9f870-fba8-48c8-a517-ab11dafa09b3