Data 911: how Posit can support decision-makers in times of environmental crisis
summary
Posit products and a Shiny dashboard synthesize thousands of sample points from dozens of agencies and hundreds of sites into actionable outputs within a six month response window; the pipeline runs from Google Drive ingestion to GitHub with 641 commits and about 8,500 tests (TestThat) guarding unit mismatches and range errors, catches issues that would mislead decisions, and produces infographics and a public dashboard pushed live within days that media and managers use to triage cleanup.
AI-written summary · about
chapters (6)
- 0:00Crisis data science intro
- 3:58Good enough crisis management
- 7:29Testing for data accuracy
- 12:15Champion allies for users
- 15:52Piney Point outcomes
- 16:59Q&A on data issues
related talks
35mDesigning for Impact in Civic Data Science
42mVisualizing COVID-19 Data
58mKeynote: DJ Patil
28mData Science for Social Good: Making Impact in Resource-Constrained Environments
07mNew York City weathers pandemic with data-first response
28mDashboards to Aid British Government Decisions (using R)
49mSaving the world with JavaScript: A Data Visualization story
01h 21mInteractive Data Visualization Tools in R
