Latest News

Latest News

Artificial intelligence could aid in evaluating parole decisions

To determine how effective the current system of risk-based parole is, researchers from the UC Davis Violence Prevention Research Program and the University of Missouri, Kansas City, used machine learning to analyze parole data from New York.

The machine learning algorithm found the predicted risks for those denied parole and those released are very similar. This suggests that low-risk individuals may have remained incarcerated, while high-risk individuals were released.

Gun Violence: UC Davis Researches Causes, Trends, Solutions

What does the data on gun violence tell us about trends?

Are trends in gun purchases linked to trends in firearm violence? 

How effective are background checks?

What makes a community more vulnerable to gun violence?

How can we reduce the risk within specific communities of need?

New research shows violence is broadly felt by millions of Californians

Research led by UC Davis Professor Garen Wintemute shows that violence indirectly impacts most Californians. Though relatively few may experience or witness a violent act, a large majority of surveyed Californians reported having an “experience of violence” (EV). These included hearing gunshots in their neighborhood, encountering a sidewalk memorial to a violent death or learning about a violent event through their social network.

Violence increased most in marginalized neighborhoods early in the COVID-19 pandemic

During the first five months of the pandemic in 2020, low-income communities of color experienced significantly greater increases in firearm violence, homicides and assaults compared to more affluent, white neighborhoods.

Previous studies showed increases in violence in U.S. cities during the pandemic but did not indicate where violence was highest or increased most within those cities.