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Long-term exposure to fine particulate matter is estimated to cause ∼8 million excess deaths annually and results in economic costs 6.1% of global GDP - USD 8.1 trillion annually (World Bank 2019). Globally, governmental and non-governmental organizations lack the availability of accurate air pollution measurements, leading to uncertainty concerning the level of pollution exposure. This challenge has made it difficult to accurately model air pollution, preventing evidence-based air quality interventions at the policy level.
Globally, governmental and non-governmental organizations lack the availability of local, high-granularity air pollution measurements, leading to uncertainty concerning the level of exposure to harmful particulate matter. This challenge, enhanced by fluctuating emissions, has made it difficult to accurately model air pollution, preventing evidence-based air quality interventions at the policy level.
AQAI are aiming to be the first organization to predict air pollution to understand air pollution exposure for all of our first target demographic, 1.8 billion children, globally. Our work aims to bridge the gap between the current available data with the technical know-how required by the organizations involved by creating global air pollution repository measuring air pollution exposure.