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Crime Science|April 2, 2019
Towards a 'smart' cost-benefit tool: using machine learning to predict the costs of criminal justice policy interventionsMatthew Manning, Gabriel T W Wong, Timothy Graham, et al.Crime Science|January 28, 2020
Homicide in Canada and the crime dropGraham Farrell, Tarah Hodgkinson, Martin A AndresenCrime Science|April 1, 2020
Domestic burglary drop and the security hypothesisAndromachi Tseloni, Graham Farrell, Rebecca Thompson, et al.Crime Science|November 30, 2020
Somehow I always end up alone: COVID-19, social isolation and crime in Queensland, AustraliaMartin A Andresen, Tarah HodgkinsonCrime Science|July 11, 2022
Anti-social behaviour in the coronavirus pandemicEric Halford, Anthony Dixon, Graham FarrellCrime Science|May 27, 2020
Initial evidence on the relationship between the coronavirus pandemic and crime in the United StatesMatthew P J AshbyCrime Science|March 27, 2023
Do increases in the price of fuel increase levels of fuel theft? Evidence from England and WalesAiden Sidebottom, Iain Agar, Justin KurlandCrime Science|May 30, 2023
Overlapped Bayesian spatio-temporal models to detect crime spots and their possible risk factors based on the Opole Province, Poland, in the years 2015-2019Rafał Drozdowski, Rafał Wielki, Andrzej TukiendorfCrime Science|April 24, 2026
Unstructured spare time and crime: toward an integrative modelDavid Buil-Gil, Ken PeaseCrime Science|August 22, 2026
The topology of cyberspace and cybercrime journeys: a framework for analyzing online offender mobilityAsier Moneva, Stijn Ruiter, Wim BernascoPageof 6