Haynes Named National Academy of Public Administration Fellow

Posted: October 23, 2002 at 1:00 am, Last Updated: November 30, -0001 at 12:00 am

By Elena Barbre

Kingsley Haynes, dean of the School of Public Policy, has been elected a fellow in the National Academy of Public Administration, an independent, nonpartisan organization chartered by Congress to assist federal, state, and local governments in improving their effectiveness, efficiency, and accountability.

Federal agencies, Congress, state and local governments, and educational and philanthropic institutions frequently seek the academy’s assistance in addressing both short- and long-term challenges, including budgeting and finance, alternative corporate structures, performance measurement, human resources management, information technology, devolution, strategic planning, and managing for results.

The academy has a membership of more than 550 fellows, including current and former Cabinet officers, members of Congress, governors, mayors, legislators, diplomats, business executives, public managers, and scholars. The fellows are the foundation of academy activities, providing insight and experience as they oversee academy projects, address emerging issues, contribute to the intellectual and popular discourse on government, and provide general guidance. Fellows elect new members of the academy each year based on their sustained contribution to the field of public administration through public service or scholarship.

Haynes built the School of Public Policy from the Institute of Public Policy, which he

founded in 1991 while serving as dean of the Graduate School. He also teaches classes in environmental system management, policy analysis, urban planning methodology, and regional economic development. His studies focus on the economic analysis of regional environmental and energy resource policy in the urban and near urban context. He has conducted research on minimum information forecasting and intelligent transportation systems; risk assessment and decisions under conditions of uncertainty; mathematical programming applications; and the relationship between regional economic development, science and technology policy, and smart infrastructure on domestic and international competitiveness.

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