What is Decision Scaling?
In environmental planning and decision making, there is often a gap between the results of scientific studies and the actual needs of the planner. Decision Scaling is our remedy for this problem. Decision Scaling is a process using data analytics coupled with stakeholder engagement to reveal the key uncertainties that require further investigation and those that are not significant for the decision at hand.
The analytical heart of Decision Scaling is what we call the “stress test.” The stress test is an analytical process by which we perturb the external factors or uncertainties affecting a system to identify the factors or combinations of factors that cause that system to fail. In this way vulnerabilities are identified. The vulnerabilities can be defined in terms of those external factors and the thresholds at which they become problematic. This results in scenarios that are directly relevant to your decision and which serve as the basis for any necessary scientific investigation.
Decision Scaling saves time and money by ensuring that costly scientific investigations will be focused on the information that is actually critical to your decision. The process also reveals risks and robustness of a proposed plan and can be used for evaluating and deciding among alternative plans.