Decision support for low-emission policy pathways under uncertainty

This essay explores how decision-making under severe (deep) uncertainty (DMDU) approaches can be used to support decision-making on low-emission strategies in order to guide NDCs (Nationally determined contributions), taking into account uncertainties. We focus on dynamic adaptive policy pathways (DAPP) as an approach that can facilitate the design of policy pathways with low greenhouse gas (GHG) emissions.