Ellen Considine

Some questions my work has explored include: 

• What are the impacts of plastic waste policies (and subsequent changes in the amounts of waste and open burning of waste) on air quality? Can we use remotely sensed data paired with causal inference methods to credibly estimate this?
• When should we issue heat alerts to reduce the public health impacts of extreme heat? Can we use reinforcement learning (a type of machine learning / AI) to optimize this?
• Where [spatially] should we place low-cost air quality sensors to increase both accuracy and equity of real-time air quality reporting? Can we use Monte Carlo simulations to illustrate practical tradeoffs, such as between the spatial density of sensors and the error (noisiness) in the sensor measurements?
• To what extent do [existing] machine learning-derived air pollution datasets capture spatiotemporal variation in population exposure to wildfire smoke?