@inproceedings{abbott-2025-optimizing,
    title = "Optimizing Opportunity: An {AI}-Driven Approach to Redistricting for Fairer School Funding",
    author = "Abbott, Jordan",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress",
    month = oct,
    year = "2025",
    address = "Wyndham Grand Pittsburgh, Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://preview.aclanthology.org/ingest-emnlp/2025.aimecon-wip.4/",
    pages = "25--33",
    ISBN = "979-8-218-84229-1",
    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."
}