Organised by the IAQM Early Careers Network Subcommittee, this webinar explored how artificial intelligence (AI) can be used in air quality. Chaired by Subcommittee member Jekabs Jursins, the event featured two speakers:
- Adam Taylor, CEO of ARM Environments and Chair of the BESA IAQ Group, provided an overview of a project which deployed an AI-driven recommender platform to translate the data from Indoor Environmental quality sensors installed in 3 offices into actionable insights.
- Early Careers Network member Tiffany Cheung presented a case study on AI use in her role. Her talk provided an insight into a machine learning model that was developed to quickly predict nitrogen dioxide (NO2) concentrations at roadside locations in London, leveraging publicly available data. Some of the information used to predict concentrations included annual average daily traffic, percentage of heavy duty vehicles, index of multiple deprivation score and more.
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