BerkR. (2016). A primer on fairness in criminal justice risk assessments. The Criminologist, 41(6), 6–9.
2.
FerrandinoJ. A. (2018). The effectiveness and equity of NYPD stop and frisk policy, 2003–2014. Journal of Crime and Justice, 41, 119–135.
3.
GroffE. R.La VigneN. G. (2002). Forecasting the future of predictive crime mapping. In TilleyN. (Ed.), Analysis for crime prevention: Crime prevention studies (Vol. 13, pp. 29–57). Monsey, NY: Criminal Justice Press.
4.
KahnemanD. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.
5.
McCueC. (2003, October). Connecting the dots: Data mining and predictive analysis in law enforcement and intelligence analysis. The Police Chief, 70, 115–122.
6.
OrrellD. (2007). The future of everything: The science of prediction. New York, NY: Thunder’s Mouth Press.
7.
PerryW. L.McInnisB.PriceC. C.SmithS. C.HollywoodJ. S. (2013). Predictive policing: The role of crime forecasting in law enforcement operations. Santa Monica, CA: Rand.
8.
QuinnM. (2021). Bentham on preventive police: The Calendar of Delinquency in evaluation of policy, and the Police Gazette in manipulation of opinion. International Criminal Justice Review, 31(3), 229–256.
9.
RatcliffeJ. H. (2016). Intelligence-led policing (2nd ed.). London, England: Routledge.
10.
SilverN. (2012). The signal and the noise: Why so many predictions fail -but some don’t. New York, NY: Penguin Press.
11.
WeisburdD. (1997). Reorienting crime prevention research and policy: From the causes of criminality to the context of crime (NCJ 165041). Washington, DC: National Institute of Justice.