When former Minneapolis police chief Janeé Harteau invited the U.S. Justice Department to review her department in 2014, the resulting report proposed developing an early warning system to flag problem officers and get them help before they misbehave.
Harteau characterized its findings as "progressive steps we can take to enhance our community relationships and increase public trust and accountability." But the effort has fallen off course.
Harteau has since resigned under pressure as chief after an officer fatally shot Justine Ruszczyk Damond after responding to her 911 call in 2017. Now, the so-called early intervention system, or EIS, seems little more than an afterthought, but some version of it appears to be revived in the wake of George Floyd's killing, raising questions about whether the former officer charged with Floyd's death should've been on the department's radar.
On Wednesday as part of two new reform initiatives, police chief Medaria Arradondo said the department will evaluate real time officer performance data "so that department leaders can identify early warning signs of misconduct and provide proven strategies to intervene.
Arradondo said similar efforts haven't worked in the past because studies found that supervisory action regarding problematic officers "is very rare and significantly absent" in large departments."
To create its early warning system, the city will likely work with Chicago-based Benchmark Analytics. CEO Ron Huberman said he began speaking with Arradondo close to a year ago, but their discussions about partnering together accelerated after George Floyd's death.
Details of the agreement are still being finalized, Huberman said.
If all goes as planned, Benchmark Analytics will first work with the Minneapolis Police Department to discover what data they track on officers and on police calls. They will then work together to create a set of criteria for determining which officers to flag for intervention. In most locations, Huberman said, they start with criteria based on research done by the University of Chicago Center for Data Science & Public Policy, and then apply additional standards to fit the specific community. Their systems can rely on as many as 25 different data sources, ranging from use-of-force reports to dispatch system information or arrest data, among others.