Aylin Caliskan, an assistant professor of computer science in the School of Engineering and Applied Science, and doctoral student Akshat Pandey analyzed a public data set from the city of Chicago containing the times, pickup locations and destinations of more than 100 million rideshare trips. By comparing that information with census data about Chicago’s demographic makeup, the team discovered that riders were charged more per mile when they were traveling to or from neighborhoods with high percentages of nonwhite or low-income residents.