D&S advisor Claudia Perlich discusses modeling, transparency, and machine learning in a new episode of the Partially Derivative podcast. “One pitfall I see is that it’s easy from a social science perspective to condemn all... Read on Data & Society

Predictive policing systems are increasingly used by law enforcement to try to prevent crime before it occurs. But what happens when these systems are trained using biased data?   Machine learning algorithms ar... Read more

As algorithms increasingly mediate education, employment, consumer credit, and the criminal justice system, how do we measure their impact on our society?     Tracing her experiences as a mathematician an... Read more

As an increasing number of industries digitize, the economy around data analysis – particularly predictive modeling – has exploded. The problem is, we don’t have any real way to understand, analyze, or predict the accuracy of t... Read more

"Seeta Gangadharan is a Senior Research Fellow at the Open Technology Institute in Washington DC [and a D&S fellow]. She discusses the automated systems, known as algorithms, that are replacing human discretion more and mor... Read on Radio NZ