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climate-adaptation

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sustainable-heat

Predicting which ZIP codes will see elevated heat illness during an approaching extreme heat event so cities can deploy cooling resources before people need to be hospitalized. XGBoost supervised classification. Seeking public health and climate equity partners

  • Updated Jun 1, 2026
  • Jupyter Notebook

SPARC is a physics-constrained spatial machine-learning pipeline that trains an ensemble of geographically-weighted models, validates causal relationships via directed acyclic graphs (DAGs), and simulates "what-if" intervention scenarios with built-in uncertainty quantification. It is designed to be domain-agnostic.

  • Updated Jun 4, 2026
  • Python

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