When the pandemic hit, the city of Chicago found there was a significant information gap when trying to collect race and ethnicity data.
DePaul University has since developed a program that has narrowed the “unknown” race data gap in COVID-19 tests from 47% to 11%.
Joining “Chicago Tonight” to talk about how they did that and why collecting that kind of information is important are:
Daniela Stan Raicu, a professor of visual computing, artificial intelligence and bio-informatics at DePaul University’s School of Computing. She is also the director of DePaul’s Center for Data Science and is the associate provost for research.
Margarita Reina, a senior epidemiologist at the Chicago Department of Public Health.