Hi, I'm Jonathan Kapard, and welcome to K-Pup.

In the conversation on criminal justice reform, more attention is being paid to how the police do their jobs.

Professor Andrew Ferguson, author of the rise of big data policing, surveillance, race,

and the future of law enforcement walks me through the new tools police are using to combat

crimes such as predictive policing and their downsides right now. Professor Ferguson thank you very much for being on the

podcast thank you very much for having me so as I said the name of your book is the

rise of big data policing surveillance race and the future of law

enforcement so I got to start at the very very beginning define big data so

big data is the is the reality that we are seeing volumes of data, velocities of

data, just different kinds of data changing how police do their jobs, how they figure out what patrols they go on, who they target,

and many ways changing how they surveil citizens.

Big data is obviously not exclusive to policing.

We see it in the consumer space, right?

We know that Amazon's collecting everything we buy and Google is collecting everything we search

for and this is sort of this rise of data-driven everything. everything we've seen a bit of in the policing

which we've seen a bit of in the policing context and we've seen a lot of in the

consumer space where we are being tracked and we are being seen and viewed and

visualize and sold and repackaged based on the data trails we leave behind.

I was about to ask what exactly are police departments, the

data, what exactly are they collecting? So it depends on which type of technology

you're talking about. So there's a lot of place-based predictive policing

where the data they're collecting is crime data,

...