Early Intervention Systems: Predicting Adverse Interactions Between Police and the Public

Helsby, Jennifer; Carton, Samuel; Haynes, Lauren; Ackermann, Klaus; Cody, Crystal; Joseph, Kenneth; Mahmud, Ayesha; Navarrete, Andrea; Park, Youngsoo; Patterson, Major Estella; Walsh, Joe

doi:10.1177/0887403417695380

Early Intervention Systems: Predicting Adverse Interactions Between Police and the Public

Adverse interactions between police and the public hurt police legitimacy, cause harm to both officers and the public, and result in costly litigation. Early intervention systems (EISs) that flag officers considered most likely to be involved in one of these adverse events are an important tool for...

Full description

Saved in:

Bibliographic Details
Authors:	Helsby, Jennifer (Author) ; Carton, Samuel (Author) ; Haynes, Lauren (Author) ; Ackermann, Klaus (Author) ; Cody, Crystal (Author) ; Joseph, Kenneth (Author) ; Mahmud, Ayesha (Author) ; Navarrete, Andrea (Author) ; Park, Youngsoo (Author) ; Patterson, Major Estella (Author) ; Walsh, Joe (Author)
Format:	Electronic Article
Language:	English
Published:	2018
In:	Criminal justice policy review Year: 2018, Volume: 29, Issue: 2, Pages: 190-209
Online Access:	Volltext (Resolving-System)
Journals Online & Print:	Drawer...
Check availability:	HBZ Gateway
Keywords:	Prediction Machine learning Early intervention system