Near-optimal to survive and thrive
Since the 1940s, scientists and engineers have developed computer algorithms to efficiently identify the single optimal solutions to water, land, and other resource management problems. Managers rarely implement these optimal solutions. By instead exploring all the promising, near-optimal alternatives, we can discover numerous and varied strategies to survive, overcome, and thrive in the face of society’s most pressing resource problems.
David E. Rosenberg is an assistant professor in the Department of Civil and Environmental Engineering at Utah State University and also holds a joint appointment at the Utah Water Research Laboratory. His research uses simulation and optimization modeling along with the management and visualization of complex data to improve the planning, design, and operation of water systems. Rosenberg and his students integrate engineering, economics, environment, uncertainty, and-when necessary-social and political considerations, to mathematically model and inform water management. Current, hot research topics include water management for environmental purposes, water and energy conservation, and near-optimal management. Rosenberg has received national recognition for his work including a National Science Foundation early faculty CAREER award.
Outside of work meetings and mad typing at his computer, Rosenberg enjoys paddling nearby rivers as well as skiing and hiking in the beautiful mountains that surround Logan, Utah. He also likes to bicycle, garden and cook locally-grown produce. Were Rosenberg to better optimize his time, he would do more things outdoors and learn another language.