White Collar Crime Risk Zones
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.
Mobile interface
Web interface
Installation at Ars Electronic
Strata Data Conference, New York
Risograph print of Manhattan
White Collar Crime Risk Zones talk at Strata, NY