Use Cases

AQAI is using the OpenAQ platform to develop a machine learning predictive model for air quality showing child population density against regions with pollutant concentrations above WHO-recommended limits. AQAI is one of ... read more

The Bloomberg Green scoreboard shows which cities have the unhealthiest air, using data from the OpenAQ platform. A screenshot of the live air pollution scoreboard on the Bloomberg Green website. Data are needed to slow ... read more

The Problem Almost all urban residents in the world are breathing air that doesn’t meet World Health Organization (WHO) guidelines for what is safe to breathe. In fact, 41% of cities have air pollution over 7 times ... read more

Health practitioners and policymakers need accurate information on health trends to improve health systems and combat health disparities. This crucial data is provided by the Global Burden of Disease (GBD) study which is ... read more

Data from the OpenAQ platform informed the development of (and continue to feed) a highly accurate air pollution prediction model for Los Angeles County and beyond. The Predicting What We Breathe (PWWB) model provides ... read more

The Sh**t I Smoke! mobile app uses data from the OpenAQ platform to demonstrate the severity of air pollution by comparing it to cigarette smoking. Sh**t I Smoke! was developed by Amaury Martiny and Marcelo Coelho. The ... read more