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Xiaoyun Wu

Researcher at George Mason University

Publications -  18
Citations -  193

Xiaoyun Wu is an academic researcher from George Mason University. The author has contributed to research in topics: Law enforcement & Proactivity. The author has an hindex of 5, co-authored 16 publications receiving 94 citations.

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Can We Really Defund the Police? A Nine-Agency Study of Police Response to Calls for Service:

TL;DR: The protests following the killing of George Floyd in the summer of 2020 led to contentious discussions and debates in many cities about policing, with some calling to "defund the police" as discussed by the authors.
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Measuring the Spatial and Temporal Patterns of Police Proactivity

TL;DR: In this article, the authors used Andresen's Spatial Point Pattern Test to compare the spatial similarity between police proactivity and crime, as well as regression modeling to explore the relationship between proactive and crime.
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Examining the Empirical Realities of Proactive Policing Through Systematic Observations and Computer-Aided Dispatch Data:

TL;DR: The 2017 National Academies of Sciences (NAS) Committee and Report on Proactive Policing highlighted what we know about the effects of proactive policing practices on crime prevention and police-co...
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Proactive policing in the United States: a national survey

TL;DR: A survey was conducted with a national sample of American police agencies having 100 or more sworn officers to obtain detailed information about the types of proactive work that officers engage in, to quantify their proactive work and to understand how the agencies measure and manage those activities as mentioned in this paper.
Journal ArticleDOI

The practice of proactive traffic stops

Xiaoyun Wu, +1 more
TL;DR: In this article, the authors examined traffic enforcement patterns in two agencies to see whether proactive traffic enforcement aligns spatially with crime and vehicle crashes, and found that high levels of spatial association are observed between traffic accidents and crime in both agencies, lending empirical support to the underlying theories of traffic enforcement programs that also try to reduce crime.