There have been numerous attempts in recent years to spur domestic clean energy manufacturing at both the federal and state level, including the tax incentives, place-based investments, economy-wide tariffs, and other forms of fiscal and policy interventions. A number of states have also provided targeted tax incentives and investment funds to advance clean energy manufacturing. However, researchers and policymakers still need a comprehensive analytic framework to examine how these energy policy interventions, aimed at different scales and industrial sectors, affect clean energy manufacturing dynamics.This grant will support an interdisciplinary research team with scholars from Baruch College, University of California, San Diego, Indiana University, Stony Brook University, and the Center for Strategic and International Studies to create an integrated dataset that combines information on industry investments in clean energy, state-level energy and economic development data, and trade-related information. The team will also undertake two case studies, focused on domestic solar and battery manufacturing across a broad geographic range, to understand the granular dynamics between federal, state, and local investments in clean energy manufacturing and related supply chains. Lastly, the team aims to upgrade the Global Change Assessment Model (GCAM) to improve how clean energy trade-related factors are represented in the model, allowing researchers to study how different policy interventions might shape future clean energy manufacturing dynamics. A workshop with key stakeholders will ensure that practitioner perspectives are integrated throughout the study.