Practical problem solving for wicked problems
summary
A concrete method for wicked problems: a spreadsheet-first prototype exposes that the client’s circular-farm pricing is off by about $10,000 per job, so math first models spread patterns (semicircles, teardrops) and simple rules for pad splitting; those Jupyter notebooks become a Jupyter notebooks to GIS with unit tests pipeline, then a Python API for production. The process discovers the science engine works but the UI is wrong, avoids nine months of wasted work and saves taxpayer money by validating early. flight-path modeling for aerial top-dressing
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chapters (7)
- 0:00Introduction to framework
- 1:25Understanding the problem
- 3:50Breaking into smaller parts
- 5:32Super A case study
- 9:23Science engine prototype
- 11:38Summary and tips
- 13:46Q&A session
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