Industrial sources account for one-fifth of greenhouse gas emissions in the United States. Despite their important contributions to emissions, many industrial sub-sectors—such as cement, iron and steel, chemicals, and construction—are poorly represented in key integrated assessment models that are used to inform decisions about how to decarbonize the economy. In particular, these models do not reflect emerging low-carbon advancements in these sub-sectors that might improve decarbonization rates and affect overall emissions reductions in these sectors. One of the most often used integrated assessment models is GCAM, a popular open source model used by researchers to simulate how various decarbonization approaches and scenarios would affect both the environment and the economy over the long term. The GCAM module that represents industrial decarbonization has not been updated for nearly a decade and currently reflects only minimal information from a small number of industrial sectors and thus fails to capture new low-carbon developments across a range of industries. This grant funds a team of scholars led by Andres Clarens at the University of Virginia and CGAM developers based at the University of Maryland to update critical components of GCAM’s industrial decarbonization module. The focus of this project will be to combine information from high quality data sources, life cycle assessments, and expert elicitations to improve GCAM’s representation of five crucial industrial sectors: cement (one of the largest industries from a decarbonization perspective), chemicals production, construction, nonferrous metals, and mining.