The Sensing, People, and Networks (SPAN) Lab at the Washington University in St. Louis investigates automated sensing and decision systems, and in particular, how they interact with people. We have a history of using the radio frequency interface of wireless devices to sense human activity and health, and improve the reliability and privacy of wireless networks. We also investigate how sensing and other "big data" systems and algorithms used on people can have both positive and negative effects on equity in society. Our research is at the intersection of wireless networking, statistical signal processing, and power and inequality. The combination of these tools enables us to study the interaction of people, networks, and sensing systems in new ways that will lead to greater privacy, reliability, and equity of engineered systems.