Our team members collaborated with the EDA to develop a shared understanding of the scoring criteria and build consistency and fairness into the subjective review process. We conducted 973 merit reviews and developed a detailed analysis of both application scores and applicant demographic data (e.g., support region). Our data analytics team built a scenario modeling tool enabling the EDA to make a more informed decision when building its final cohort to include analyzing how funding scenarios would impact three specific categories of underserved entities: Persistent Poverty Counties (PPCs), rural counties, and Opportunity Zones (OZs) served.