Start Date
1-7-2008 12:00 AM
Abstract
Computer modeling has been regarded as an efficient way of solving problems. Yet it has a history of failure when applied to decision making. Models have not necessarily resulted in better decisions. There is a clear disjoint between analytical quantitative analysis and decision making. How do we make models more appealing and convincing for the decision makers?
Modelers and stakeholders: who is the boss?
Computer modeling has been regarded as an efficient way of solving problems. Yet it has a history of failure when applied to decision making. Models have not necessarily resulted in better decisions. There is a clear disjoint between analytical quantitative analysis and decision making. How do we make models more appealing and convincing for the decision makers?
