A recent workshop exploring the role of human-environment feedbacks in global analysis demonstrated broad interest in this topic across communities and highlighted current limitations and potential paths forward with respect to modeling, uncertainty, and scenario development. Here we present an updated coupling of the Global Change Analysis Model (GCAM) and the Energy Exascale Earth System Model (E3SM), which will facilitate direct experimentation and analysis of feedbacks between human and environmental systems. A main feature of this new coupling is that the human component is at the same level as the other components (land, atmosphere, ocean, etc.) and interacts with them through the shared coupling software. Annually, terrestrial productivity is passed from E3SM to GCAM to make land use and CO₂ emission projections for the next year, which are in turn passed back to E3SM. Previous experiments have shown that the incorporation of these feedbacks affects land use/cover change, crop prices, terrestrial carbon, local surface temperature, and land carbon-atmosphere feedbacks. Preliminary results indicate that this newly coupled system is robust in relation to the previous experiments. This coupling addresses inconsistency across models, enables a new type of scenario development, and provides a modeling framework that is more easily updated and expanded.