Mission Statement

Risk measurement and management are critical areas for corporate institutions around the world. While traditional research into risk methodologies will continue to be important, the growing complexity of institutions’ risk profiles and the deluge of data mean that successful risk analysis also requires a new perspective, new ideas and new tools. CDAR provides an interdisciplinary platform to explore theoretical, applied and engineering approaches for applying data science to risk measurement and management problems.

Governing Board
Robert M. Anderson
John Arabadjis
Kay Giesecke
Kevin Koy

Scientific Advisory Board
Jeffrey Bohn
Kay Giesecke
Lisa R. Goldberg
Kevin Koy