Combating Our Global Water Crisis Using AI, with Junhong Chen
There are a lot of problems in our world today, but if our water systems aren’t working, everything else takes a backseat. From a lack of freshwater to droughts on the West Coast to contaminants like PFAS and lead in many of our homes, our water systems are in trouble. But one scientist sees a solution to our making our water system sustainable by using artificial intelligence and machine learning. Junhong Chen is a professor of molecular engineering at the University of Chicago and the lead water strategist at UChicago-affiliated Argonne National Laboratory. He’s using AI to address many of our global water crises in some surprising ways.
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There are a lot of problems in our world today, but if our water systems aren’t working, everything else takes a backseat. From a lack of freshwater to droughts on the West Coast to contaminants like PFAS and lead in many of our homes, our water systems are in trouble. But one scientist sees a solution to our making our water system sustainable by using artificial intelligence and machine learning.
Junhong Chen is a professor of molecular engineering at the University of Chicago and the lead water strategist at UChicago-affiliated Argonne National Laboratory. He’s using AI to address many of our global water crises in some surprising ways. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
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Topics
environmentsustainableuchicagobig brainsa.i.sustainabilityuniversity of chicago podcast networktech podcastucpnsciencewaterjunhong chenartificial intelligencepaul randscience podcasttechwater sustainabilityuniversity of chicagoenvironmental podcast