
Following their reflections on climate data rescue, James and David explore how the challenges of making rescued data genuinely usable are playing out in Zambia and Zimbabwe. Through their experiences working with meteorological services in both countries, they discuss the work needed to improve data quality, bring valuable historical records back into use, and build sustainable processes for keeping them usable over time.
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298 – AI for Experts and AI That Builds Expertise

297 – Seeing Africa at Its True Size

296 – Navier–Stokes and What AI Means for Mathematics

294 – Reflections on Climate Data Rescue
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