~/talk

Building Water Security From the Bottom Up by Leveraging Big Data

Talkat Women in Data Science (WiDS) Stanford 2020 · on Monday, 2020-03-02· [data-science]
links:none on file
slides:none on file

Urban water systems shift from supply fixes to behavior-driven solutions using high-frequency meter data and web signals. A Redwood City natural vs recycled water experiment uses smart meters (15‑minute) and finds recycled customers, not subject to potable restrictions, still cut outdoor use during the 2013–16 drought. Analysis uses an articulate web‑scraper and parallel computing to correlate media attention with conservation. Big wins: lawns consume 4× the water of corn and California’s large‑landscape irrigation totals 0.9 million acre‑feet (≈2 million households) annually.

AI-written summary · about

  1. 0:00Introduction to water scarcity
  2. 2:38Problems with top-down water management
  3. 5:28Human dynamics in water demand
  4. 8:18Case study: Redwood City irrigation
  5. 13:57Impact of data and computing
  6. 15:44Moving to demand-side management
  7. 16:06Conclusion and Q&A
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