Predicting What We Breathe - Using Machine Learning for Urban Air Quality Analysis

Watch a conference talk from Data Con LA 2023 where Jeanne Holm, Deputy Mayor of Los Angeles, presents groundbreaking work on air quality prediction and monitoring. Explore how the City of Los Angeles collaborates with NASA to develop advanced machine learning algorithms that combine ground-based smart city sensor networks with satellite data to analyze PM2.5, ozone, and PM10 levels. Learn about innovative approaches to classify urban air quality patterns, forecast pollution events, and identify similarities between global megacities' air quality regimes. Discover how this 42-minute presentation demonstrates the practical application of data science in understanding correlations between air pollution and health conditions, ultimately helping predict individual health risks and develop improved pollution mitigation strategies that can be applied to other major cities worldwide.