Towards Handling Uncertainty in Prognostic Scenarios: Advanced Learning from the Past

Abstract

is a senior research scholar with the IIASA Advanced Systems Analysis (ASA) Program. His interests are in environmental science, and in the development of systems analytical models and tools to address issues of global, universal and regional change, including surprises, and their potential implications for decision and policymakers.