Stanford Data Science is a collaborative effort across many departments in all seven schools. We strive to unite existing data science research initiatives and create interdisciplinary collaborations, connecting the data science and related methodologists with disciplines that are being transformed by data science and computation.
Stanford Data Science connects departments, schools, and programs from all areas of campus to provide diverse data science educational opportunities at the undergraduate, graduate, and professional levels.
Stanford Data Science is helping to weave data science research into the fabric of the university and connect with our peer universities, not-for-profit organizations, and corporate partners.
Data Science for All
Weaving data science research and methods into the University's fabric, giving our faculty and students the tools, skills and understanding they need to do the cutting-edge research that will drive 21st-century scholarship and education.
Inclusive Mentoring in Data Science
Dr. Chiara Sabatti will lead the second edition of BIODS 360, a graduate level course on effective and inclusive mentorship in data science with hands-on opportunities to put those skills into practice.
Women in Data Science
The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015.