Optimizing Social Justice

This chapter explores the interplay between social policy and mathematical optimization, stressing the importance of aligning societal goals with data-driven methodologies. It addresses the challenges of communication gaps between policymakers and algorithm developers, highlighting personal experiences of socioeconomic disparities in higher education and advocating for a comprehensive approach to equity in academia.