Video Transcript: LEADS Scholar Spotlight - Optimal Investigator Caseloads
Daniel Stewart, a captain in the Oklahoma City Police Department and Class of 2016 Scholar of NIJ’s Law Enforcement Advancing Data and Science (LEADS) Program, discusses research he has conducted on investigator caseloads as commander of a property crimes unit with his police department. He also speaks about the impact of the LEADS program and network on his research and professional career.
So I'm in my second year of the LEADS Program.
And what LEADS has, kind of, done
for me is it, kind of, showed me the possibilities.
So as a--as a police officer, we
normally, you know, come to work, do our job. And what LEADS has done is it kind of
showed me that, you know, maybe there's more to it.
Maybe there's more for me to
Maybe there's more questions for me to ask.
And I feel like I'm supported
through the LEADS Program.
As a commander of a — of a property crimes
unit for a
larger city, I recognize that we have some
problems, particularly in organized retail
crime and just property crimes in general. And what I've noticed is that maybe we can
do a better job of creating an environment
for our investigators to be more successful. Obviously, manpower is going to be an issue.
Every city, every department is in need
I'm hoping what I can — what I can learn through
my research is just what is
an optimal case level for an investigator,
and then how I can support that.
standpoint of coming from law enforcement
and spending the last, you know, 18 plus
years in law enforcement, you look at things
as, kind of, hammer, nail, you know.
You see something, you attack it, and you fix it.
And I think what I'm learning through —
through LEADS is that research is more than that. There's more than one tactic than
just hitting a nail with the hammer. The support that you receive through LEADS is
beneficial because you're surrounded by like-minded people.
There's — when you realize
that there are other people within law enforcement
that think the same way you do, it's
Date Created: October 9, 2018