Abstract for: Bridging complexity for hybrid perspectives: Modifying the Bass System Dynamic & Rogers Agent-Based Models

The area of multi-method hybrid modelling is attracting growing attention because of its ability to gain perspectives from a top-down and bottom-up perspective using SD and ABM. The original contribution to knowledge is a multi-method hybrid SD and ABM that includes a GIS. This study explores hemp’s potential for carbon sequestration in Ireland’s agricultural sector, integrating insights from environmental science, sustainable agriculture, and systems sciences to address emissions mitigation needs. The study analyses hemp farming adoption dynamics among Irish landowners by combining SD and ABM, leveraging historical data from the Health Products Regulatory Authority (HPRA). Adapting the Bass and Rogers diffusion of innovation models into a hybrid SD-ABM framework programmed in NetLogo using the SD modeller extension, the study offers preliminary insights into hemp farming adoption dynamics, contributing to evidence-based policy-making and advancing hybrid simulation modelling for complex environmental challenges.