public health
liveMapping the world's air-quality blind spots
Identify which large urban populations have no public PM2.5 measurement at all, and what predicts the gap.
Maintained by Igor Moiseev
Articles
Research graph
0 experiments · 1 tracks
No experiments yet. The first funded run adds one here.
What runs next
Ranked by value ÷ cost; donations pay for the top one first
- 01
Blind-spot census
How many large urban centres have no public PM2.5 data?
Pre-registered: >=70% of LMIC centres >100k have zero records
score 5.0value 5 · cost 1 - 02
Predictors of monitoring
Does democracy add to income in predicting monitoring?
Pre-registered: LR test p<0.01 for democracy index
score 4.0value 4 · cost 1 - 03
Low-cost sensor substitution
Do low-cost sensors fill the reference-grade gaps or cluster in already-monitored cities?
Pre-registered: >=60% of low-cost sensors sit in centres that already have reference monitors
score 2.5value 5 · cost 2
Findings
No findings yet
Fund the program and the top proposal runs next.