On the Evidence Podcast
Mathematica data scientist Cindy Hu discusses chemicals/contaminants in tap water quality, their health implications, and how to address these through public policy.
"One of my ongoing projects is to use machine-learning techniques and predictive modeling to try to predict which areas have higher risks of contaminated water so that we can target the sampling resources [at the high-risk areas] and prevent problems from happening in the first place." Cindy Hu
What can public water systems teach us?
How can prevention strategies emerge from this research?
What are the implications of using this data?
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