Development Under Deep Uncertainty
Development under deep uncertainty examines how sustainable development decisions should be made when futures are multiple, probabilities are disputed, and system behavior cannot be confidently forecast in advance. This article argues that long-horizon development planning cannot rely on prediction-centered methods alone. It must instead use strategies built around robustness, adaptability, institutional learning, and pathway flexibility. The piece distinguishes deep uncertainty from ordinary risk, explains why forecast-based planning often becomes brittle under changing conditions, and shows how scenario analysis, adaptive pathways, and Decision-Making Under Deep Uncertainty provide a more durable framework for planning. It also foregrounds the justice dimension of uncertainty, emphasizing that the burdens of error, delay, and adjustment are distributed unequally. The result is a more realistic account of how development remains strategic when certainty is no longer available.









