James E. Smith

James E. Smith is the Jack Byrne Professor in Decision Science at the Tuck School of Business, Dartmouth College. He specializes in applying decision analysis and stochastic dynamic programming to complex systems in energy, healthcare, and finance.

• Key research themes:
  • Stochastic optimization under uncertainty
  • Technology adoption dynamics
  • Medical decision modeling
  • Energy system resource allocation
• Notable collaborations: David Brown, Robert Shumsky, Canan Ulu

His recent work spans 2025-2010, focusing on energy systems (unit commitment, exploration wildcats), healthcare (Hepatitis C elimination strategies), and financial portfolio optimization with transaction costs. Publications emphasize information relaxations, dual bounds, and real options analysis.

Decision science contributions include foundational work on multiattribute value functions and the optimizer's curse. Current contact: jim.smith@dartmouth.edu