Explore how Stanford Assistant Professor Irene Lo and her team collaborated with the San Francisco Unified School District to design a new student assignment policy. Delve into the process of creating a zone-based system that aims to balance diversity, predictability, and proximity for the 2024-25 school year. Learn about choice modeling techniques used to predict student preferences, and discover the policy decision support tool developed for simulating and evaluating assignment outcomes. Examine the challenges and considerations involved in implementing geographic zones and reserves, as well as the use of equity priorities for target populations. Gain insights into the policy approval process and the ongoing efforts to ensure equitable zones and address potential negative effects of reduced choice.