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    <abstract>We address national educational inequity driven by school district boundaries using a comparative AI framework. Our models, which redraw boundaries from scratch or consolidate existing districts, generate evidence-based plans that reduce funding and segregation disparities, offering policymakers scalable, data-driven solutions for systemic reform.</abstract>
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%0 Conference Proceedings
%T Optimizing Opportunity: An AI-Driven Approach to Redistricting for Fairer School Funding
%A Abbott, Jordan
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2025
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-218-84229-1
%F abbott-2025-optimizing
%X We address national educational inequity driven by school district boundaries using a comparative AI framework. Our models, which redraw boundaries from scratch or consolidate existing districts, generate evidence-based plans that reduce funding and segregation disparities, offering policymakers scalable, data-driven solutions for systemic reform.
%U https://aclanthology.org/2025.aimecon-wip.4/
%P 25-33

Markdown (Informal)

[Optimizing Opportunity: An AI-Driven Approach to Redistricting for Fairer School Funding](https://aclanthology.org/2025.aimecon-wip.4/) (Abbott, AIME-Con 2025)

• Optimizing Opportunity: An AI-Driven Approach to Redistricting for Fairer School Funding (Abbott, AIME-Con 2025)

ACL

• Jordan Abbott. 2025. Optimizing Opportunity: An AI-Driven Approach to Redistricting for Fairer School Funding. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 25–33, Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).