Bistro Research
public health
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Mapping 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
  1. 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
  2. 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
  3. 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.