Empirically Grounded Agent-Based Modeling to Effectively Address the CDR Technologies Implementation Gap

An interdisciplinary team of faculty mentors and researchers is being created to develop an empirically grounded agent-based model aimed at effectively addressing the carbon dioxide removal (CDR) technologies implementation gap.  

The project aims to harness the predictive power of agent-based modeling to answer a critical question concerning how to design strategic intervention strategies to facilitate the adoption and diffusion of DCR strategies. Specifically, it will develop an empirically grounded agent-based model where agents’ behavioral parameters, decision-making rules, and learning rules are informed by a mixed-methods approach.  A secondary objective of this project is to explore how insights from the agent-based model (as a bottom-up model) can be incorporated into an Integrated Assessment Model (as a top-down model).