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Title: “From Excel to Reproducible Pipelines: Scaling the Self-Sufficiency Standard to All 50 States” Abstract: The Self-Sufficiency Standard (SSS) is a cost-of-living benchmark used by policymakers and community organizations across the United States. For more than two decades, the Standard has been produced through a complex, state-specific workflow built largely in Excel. As demand has grown—culminating in a planned 50-state release—the limitations of a spreadsheet-based production system became clear. Through the UW Data Science & AI Accelerator, our team is redesigning the SSS production pipeline in R to support scalability, reproducibility, and collaborative development. This talk will describe the technical and organizational challenges of transitioning a legacy, high-stakes policy workflow into a modular, version-controlled, data-driven system. The presentation will highlight both technical architecture and lessons learned in translating applied social policy research into a modern data science workflow. We will also reflect on tradeoffs between flexibility and standardization when scaling data products intended for public use.