Unconscious bias affects translational research, scientific and operational principles underlying each step of the translational process, and ultimately individual and public health. With respect to racial data, algorithmic bias built into predictive models and re-presented via equity dashboards, may yield unintended second-order consequences that subjugate planned first-order intentions. Join your colleagues to discuss leveraging racial data, in research, with equity-minded intentionality.
Monique L. Snowden, PhD
Provost & Senior Vice President, Fielding Graduate University Teaching Faculty, USC Equity Institutes