Data in the First Mile
Summary: Analyzes “first mile” data challenges in low-resource communities—limited infrastructure, oral traditions, scarce expertise, and misaligned incentives that break conventional top‑down data-management assumptions. Proposes decoupling capture from structuring, intelligent automation, and cloud-hosted services, demonstrated by Usher (auto data-entry quality) and Shreddr (hosted paper-form digitization) to enable pragmatic, scalable pipelines. (summarized by gpt-5-mini on Feb 09 2026)
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