Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

• Unité de recherche: INNOSUISSE
• Numéro de projet: 102.134 IP-ICT
• Titre du projet anglais: Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

Mots-clé (Anglais)

ICT, Data sciences

Résumé des résultats (Abstract) (Anglais)

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.