Grants

To assess the real-world emissions of the vehicle fleet in Delhi, India, to inform policy actions that reduce transport emissions, help the city to meet its clean air action plan goals and demonstrate the value of real-world emissions testing to drive broader adoption across India.

To understand and raise awareness of air pollution and climate emissions in Providence, advance use of lower-cost air quality monitoring data, support improved policy and environmental initiatives and enable Brown University to support the City of Providence’s health, wellness and climate related goals.

To support a global network of advanced PM2.5 monitoring sites that improves the quality of global air quality data resources (e.g. global health impact assessments) by improving satellite data and global-scale air quality models.

To support OpenAQ and its work to aggregate and make available the world’s air quality data.

Bring the relevant and latest knowledge on air quality data (including but not limited to low-cost monitoring, data analysis, source characterisation and air quality management) to the stakeholders in low- and middle-income countries which is currently poorly disseminated from Global North contexts.

To help stakeholders in low- and middle- income countries access the latest knowledge and expertise on air quality data (including but not limited to low-cost monitoring, data analysis, source characterisation and air quality management) which is currently poorly disseminated from Global North contexts.

To support the WHO's work on air quality by updating its global air quality data repository, improve the aggregation and use of exposure and health studies, and to support air pollution related reporting around SDG 11.

Empowering more people to map air pollution and advocate for clean air and increasing the quality and usability of citizen-science data.

To evaluate technology, calibrate data, and support setting up of a robust distributed air quality system that collects, stores, and analyses data and communicates trustworthy air quality information with citizens and administrators of Gurgaon, helping identify spatial and temporal hotspots and facilitate action by city and state departments.

To expand datasets to undertake further analysis into the relationship between traffic and air quality in London. The analysis of vehicle traffic data will support clean air policy solutions including the London Ultra Low Emission Zone and Low Traffic Neighbourhoods.