Air pollution lAB

Connecting science to air quality decision-making

 Environmental data science and artificial intelligence (AI) 

 Research Aims:

  • Mitigate air pollution exposures, health outcomes, and inequities
  • Investigate the impacts of climate change on air quality

 Research Approaches:

  • Multi-tiered observations of air pollution including criteria air pollutants and greenhouse gases
  • Data analytics using statistics, machine learning, and geographic information systems (GIS)
  • Data-driven conclusions to inform policies and regulations on air quality and carbon neutrality