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R Markdown template for automated data consistency analysis of household surveys. Reads raw data, verifies duplicates, skip logic, missing values, and household composition, and produces a PDF report with a reactive ruling that updates on re-run.
A Data Science Project with a policy focus, part of the final assignment for Duke's MIDS class "Unifying Data Science", done by Sam Sloate, Charlotte Kaiser and Lucie Jacobsen.
End-to-End Python implementation of Azcue et al.'s (2025) stochastic optimal control framework for social protection policy design. Solves PDMP-based Hamilton-Jacobi-Bellman equations using analytical closed-form solutions and Monte Carlo simulation to minimize government intervention costs (through the use of cash transfers and microinsurance).