Back in the day, police surveillance meant two cops, a pair of
binoculars, and an unmarked car parked outside a suspect's house. But
today, law enforcement agencies around the country have acquired
sophisticated camera networks, computer systems, and automated
algorithms designed to collect and analyze information on everyone,
regardless of whether they're connected to this crime. Not only do these
system produce challenges for everyone's civil liberties, they also have
a disparate impact on communities along socio-economic and racial lines.

Dave Maass is a senior investigative researcher at the Electronic
Frontier Foundation, a San Francisco-based non-profit that advocates for
civil liberties as technology advances. In partnership with the Reynolds
School of Journalism at the University of Nevada, Reno, EFF has built
the Atlas of Surveillance (atlasofsurveillance.org)--a collaborative
research project to find out what police departments and sheriffs
officers are using which kinds of surveillance, such as body-worn
cameras, drones, face recognition, automated license plate readers,
predictive policing, gunshot detection, and real-time crime centers.
This talk will cover how to use the Atlas and why it's so important to
shine light on these issues as society tackles important debates over
racial bias, police budgets, and digital privacy. You will also learn
how you can participate in the research project, even if you only have
30 minutes to spare. Certain select classes will have the opportunity to
earn extra credit by contributing to the Atlas of Surveillance project.