Randomized Controlled Field Trials of Predictive Policing

By George O. Mohler, Martin B. Short, Sean Malinowski, Mark E. Johnson, George E. Tita, Andrea L. Bertozzi, P. Jeffrey Brantingham. 2015

351 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e6287d4c4ed33707843321995246fdbe42ff82e9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. Yan Liu

In Sociology and Political Science

1. Hau Chan
2. Milind Tambe
3. Sungyong Seo
4. Phebe Vayanos
5. Suresh Venkatasubramanian
6. Carlos Eduardo Scheidegger
7. P. Jeffrey Brantingham
8. Todd M. Gureckis

Citations in the corpus

• Partially Generative Neural Networks for Gang Crime Classification with Partial Information (2018, background): “Some notable exceptions include point process approaches that use the time and location of known crimes to predict where and when future crimes will occur (Mohler et al. 2015).”
• Runaway Feedback Loops in Predictive Policing (2017, methodology): “Lum and Isaac’s work focused on PREDPOL [8], a predictive policing system in use by the LAPD and other cities across the U.”
• Lessons for artificial intelligence from the study of natural stupidity (2019, background): “Algorithmic approaches that send officers to predicted high-crime locations have shown apparent success in reducing crime 8 .”