Crime and violence are top priorities for many cities across the United States. Adequately addressing these issues in a way that meets local expectations can be challenging. Police can’t do it alone. Simsi’s Crime Prevention with Risk Terrain Modeling workshop … Read More
Author Archives: Simsi Team
Risk Narratives
Risk narratives convey the contexts and opportunities for crime at particular places and times. A risk narrative is like a story about how crime incidents connect to places. It accounts for how people interact at and around particular places to … Read More
Data-Informed Community Engagement
Prioritize and solve crime problems with guidance from community partners, just like the nationally-recognized Newark Public Safety Collaborative (NPSC) does in Newark, NJ. They use Simsi’s RTMDx™ software to diagnose crime patterns and connect geographic features with crime events. Then … Read More
Safeguard Against Bias in Big Data
The growing use of ‘big data’ and analytics by police departments is often equated with over-policing or increased law enforcement at crime hot spots. In contrast, problem-solving with risk terrain modeling (RTM) can be data-informed, transparent and civilly just. RTM … Read More
RTM is not Predictive Policing
Risk terrain modeling (RTM) is a diagnostic tool for crime prevention, it’s not a predictive algorithm. The only true measure of successful predictions is for crimes to occur where predicted, which is not in the public’s best interest. Predictive policing … Read More
What is Risk Terrain Modeling?
Risk terrain modeling (RTM) is risk assessment for places. It’s a data analysis technique. And, it’s a diagnostic tool. When used for crime analysis, RTM identifies environmental conditions that contribute to crime problems. Different crime incident locations can have common … Read More
Tags: diagnostics, rtm