Explores advanced air quality modeling techniques to address health and climate issues, emphasizing the interconnectedness of air pollution and climate change.
Explores crowdsourcing high-resolution air quality sensing in urban areas through the OpenSense II project, covering impacts, system vision, deployments, datasets, and correlations with health data.