Cascade Summarization for Intersectional Policy Research
Cascade summarization breaks down complex policy research into layers, starting with high-level summaries and drilling deeper into specific intersectional concerns—how a healthcare policy affects trans people at different income levels, or how workplace protections interact with other identity-based discrimination. This layered approach prevents the flattening that happens when AI creates one generic summary.
HypatiaCascade summarization is a layered AI technique where large volumes of policy documents are summarized progressively, with each pass distilling information further until only the most relevant intersectional insights remain for a specific user profile.
For LGBTQ+ individuals who also navigate overlapping identities such as race, disability, or immigration status, this method surfaces how policies compound or conflict, providing a clearer picture of real-world impact than single-document analysis ever could.
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