Systems and Intelligence Analysis

Bayesian Inference

Computational Economics

Decision Analysis

Detector Networks

Incident Command Analytic Training System (ICATS): A Simulation Approach to Training Incident Managers

Optimization and Game Theory

Probabilistic Risk and Reliability Assessment

Process Simulation Modeling

R&D Portfolio Management

Security Systems Analysis

Signal and Image Processing

Spatial Statistics

Transportation Risk Assessment

Return to Systems and Intelligence Analysis

Return to Modeling and Simulation

R&D Portfolio Management

Systems and Intelligence Analysis personnel help government agencies evaluate technology options for a wide range of missions. These complex decision problems generally involve multiple objectives and uncertainty. To support decision makers, we develop and apply decision models to estimate the risks associated with the pursuit of new technologies, the potential value of R&D efforts, and the sensitivity of decisions to key assumptions and value judgments. We use a number of modeling techniques, including decision trees, simulation, mathematical programming, and multiattribute utility theory. Models like the one shown here are implemented using commercial software packages or customized code.

Tom Edmunds
(925) 423-8982

Edwards, W., Miles, R. F., Jr., and von Winterfeldt, D., Eds. (2007) Advances in Decision Analysis, Cambridge University Press (contributed chapter).

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July 3, 2012