Events

When algorithms are used for predicting recidivism, do they make the criminal justice system more fair and accurate, or do they perpetuate racial bias?

A one-day technical conference bringing together data scientists and professionals from around the globe to discuss the latest research and applications of data science.

Machine learning algorithms are not neutral observers of the world, but see what they are trained to see.

The One Laptop per Child project failed. So why do the same utopian visions that inspired it still motivate other projects to “disrupt” education and development?

How good data models facilitate optimization and generalization in machine learning.

A change to a society’s pattern of communication, coordination, trust, and coercion is culturally disruptive.

Has widespread news of abuse made people more protective of their personal data?

Join current MIDS students and alumni for a discussion on data science roles and career resources.

Honor summer and fall I School graduates with keynote speaker, student speaker, and presentation of the Hal R. Varian MIDS Capstone Award.