Author Archives: Simsi Team

Crime Prevention with Data-Informed Community Engagement

The Newark Public Safety Collaborative (NPSC) does data-informed community engagement (DICE) really well. The NPSC prioritizes crime problems with guidance from its community partners. They use RTMDx software to diagnose crime patterns and connect geographic features with crime events. Then … Read More

Embracing the Reality of 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