Dynamic adaptive policy pathways: A method for crafting robust decisions for a deeply uncertain world

TLDR

A new paradigm for planning under deep uncertainty emphasizes creating a strategic vision, committing to short‑term actions, and establishing a framework that enables dynamic adaptation over time. The authors propose the Dynamic Adaptive Policy Pathways method for decision‑making under uncertain global and regional changes. The method combines Adaptive Policymaking, which defines action types and monitoring signposts, with Adaptation Pathways, an analytical tool for sequencing actions across alternative future developments. Results indicate that the approach merits further testing and application.

Abstract

A new paradigm for planning under conditions of deep uncertainty has emerged in the literature. According to this paradigm, a planner should create a strategic vision of the future, commit to short-term actions, and establish a framework to guide future actions. A plan that embodies these ideas allows for its dynamic adaptation over time to meet changing circumstances. We propose a method for decisionmaking under uncertain global and regional changes called 'Dynamic Adaptive Policy Pathways'. We base our approach on two complementary approaches for designing adaptive plans: 'Adaptive Policymaking' and 'Adaptation Pathways'. Adaptive Policymaking is a theoretical approach describing a planning process with different types of actions (e.g. 'mitigating actions' and 'hedging actions') and signposts to monitor to see if adaptation is needed. In contrast, Adaptation Pathways provides an analytical approach for exploring and sequencing a set of possible actions based on alternative external developments over time. We illustrate the Dynamic Adaptive Policy Pathways approach by producing an adaptive plan for long-term water management of the Rhine Delta in the Netherlands that takes into account the deep uncertainties about the future arising from social, political, technological, economic, and climate changes. The results suggest that it is worthwhile to further test and use the approach.