Data-Driven Methods for Policy Evaluation

Catalog description

Data-centric technologies are transforming public policy, enabling new approaches for evaluating policies both retrospectively and prospectively; for detecting discriminatory practices; and for auditing and designing “fair” algorithmic systems. While current computational and statistical methods often promise increased efficiency, equity, and transparency, their use also raises complex legal, social, and ethical questions. In this course, we will discuss such methods in a variety of applications, and will examine the relationships between law, policy, and data.