Social programs designed to promote equity—in housing, jobs, justice, health care, and more—rely on data to identify strategies and measure impact. But what happens when our data collection and analyses are inadvertently sabotaged by bias? Drs. Rucha Londhe and Eric Hedberg share tips and experiences on the latest episode of The Intersect podcast.