White Collar Crime Risk Zones

Year
Creator
Country
United States
Publication Type
Description (in English)

White Collar Crime Risk Zones uses machine learning to predict where financial crimes are mostly likely to occur across the US. The project is realized as a website, smartphone app and gallery installation. Made in collaboration with Brian Clifton and Francis Tseng.

Authored by

UUID
3365acdb-5321-46e2-9dda-4abe6811181a