Data Science 290
Specific topics, may vary from section to section, year to year. Course may be repeated for credit when topic changes. Students may enroll in multiple sections of this course within the same semester.
This course provides an introduction to how racism influences technology and how technology influences racism. It will discuss practical ways to address discrimination and structural factors that perpetuate unfair algorithmic practices. It reviews the origins of race in science and technology while addressing racism in current practice. This course takes an antiracist approach by advancing the principles of social justice–oriented scientific research and its potential. Course assignments will emphasize hands-on approaches to promoting anti-racism in research and practice, with particular attention given to professional development.