Introducing the Data Maturity Framework In our four years of running the Data Science for Social Good Fellowship and the Center for Data Science and Public Policy, we have talked to hundreds of organizations about their data, technology, missions, culture, pain points, and impact. For the projects we take on during DSSG , we look for [...]

We keep hearing and saying that in order to implement and correctly use machine learning and predictive models , they must be transparent and interpretable. That makes sense. You don't want a black box model making important decisions -- although one could argue that the guts and intuitions of many human beings are often as [...]