Michael Deegan

Policy Analyst

U.S. Army Corps of Engineers

Michael Deegan has been with US Army Corps of Engineers since 2010 and currently serves as a policy analyst and program manager with the Institute for Water Resources (IWR). Most recently, he has supported Headquarters and the Engineering Research and Development Center (ERDC) on a pilot project in the Savannah River Basin to measures and improve the resilience of USACE projects, in support of community objectives across the watershed. In addition to his research responsibilities for IWR, he has managed New Horizons, a research program with projects designed to: (1) identify emerging issues impacting the Corps over the next 3-5 years; (2) test innovative ideas to improve data quality, analytical frameworks, and/or decision support tools; and (3) conduct root cause analysis on complex systemic issues. Over the last 10+ years, he has worked on a variety of large-scale projects in support of HQ and the field. He previously supported Headquarters implementation of the Civil Works Transformation through the development of decisions support tools for a dozen watershed-scale pilot studies. In support of budget development, Michael has previously managed the Performance Based Budgeting Support Program, authorized by the Government Performance Results Act (GPRA 1993), which provided data and decision support tools for primary business lines to support and defend their budget decisions. In support of enterprise-level research, Michael helped develop a conceptual framework for conducting root cause analyses in the North Atlantic Coast Comprehensive Study, and more recently, a systems approach to support USACE asset management decisions in flood risk management. Prior to coming to USACE, Michael received an MPA and PhD in Public Administration and Policy from Rockefeller College in the University at Albany. He graduated with a concentration in Decision Science and a specialization in System Dynamics computer simulation modeling. His dissertation developed a computer simulation model of community-level flood risk management decision making processes. After completing graduate school, he received a post-doctoral fellowship with IWR through the National Academies of Science.