  This study presents a novel approach to assessing food security risks at the
national level, employing a probabilistic scenario-based framework that
integrates both Shared Socioeconomic Pathways (SSP) and Representative
Concentration Pathways (RCP). This innovative method allows each scenario,
encompassing socio-economic and climate factors, to be treated as a model
capable of generating diverse trajectories. This approach offers a more dynamic
understanding of food security risks under varying future conditions. The paper
details the methodologies employed, showcasing their applicability through a
focused analysis of food security challenges in Egypt and Ethiopia, and
underscores the importance of considering a spectrum of socio-economic and
climatic factors in national food security assessments.
