Using predictive analytics and rapid-cycle evaluation to improve program design and results: An interview with Scott Cody, Vice President, Mathematica Policy Research – Episode #54

What are predictive analytics and rapid-cycle evaluation and how can public agencies and programs use them to improve program delivery and outcomes? To explore these questions, we’re joined by Scott Cody. He’s a Vice President of Mathematica Policy Research and the co-author, with Andrew Asher, of a recent paper “Smarter, Better, Faster: The Potential for Predictive Analytics and Rapid-Cycle Evaluation to Improve Program Development and Outcomes,” published by the Hamilton Project at the Brookings Institution.

Web extra: Scott Cody provides two suggested steps for public agencies that want to strengthen their ability to use predictive analytics and rapid cycle evaluation. [click here]