Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

Forschungsstelle

INNOSUISSE

Projektnummer

102.134 IP-ICT

Projekttitel

Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

Projekttitel Englisch

Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Schlüsselwörter	-	-	-
Abstract	-	-	-

Kategorie	Text
Schlüsselwörter (Englisch)	ICT, Data sciences
Abstract (Englisch)	LogObject AG aims to expand its smart software products to analyzing and quantifying illegal activity. Together with ZHAW, we develop two new empirical methods enhancing the predictive power of prevention (burglaries) and introducing quality measures (cyber risk) for Swiss police enforcement.