The City of L.A. is Applying Data and Machine Learning to Understand Urban Air Quality
The City of Los Angeles is in a unique situation to be an urban proving ground to look at how to better understand, predict, and mitigate the issues of air pollution for 4 million citizens. In partnership with NASA, California State University Los Angeles (CSULA) and OpenAQ, the City has embarked on an Air Quality Project with a goal of helping to mitigate the effects of air pollution through interventions that have measured results.
The Predicting What We Breathe project looks at the time-series measurements of satellite and ground data and applies machine learning to uncover patterns that may not be discernible to human analysts. Enhancing human understanding and prediction of air quality will help inform local governments and others on appropriate measurements, analytics, predictive algorithms and mitigation strategies that are useful for dealing with air quality variability.
The work done here is funded by a NASA grant for Advanced Information Systems and Technology.