MLive: Webb talks about predictive model as Flint works to reach its goal
MLive’s Zahra Ahmad published an article with an update on the city’s progress toward its goal of removing all of its lead service lines. In the article, BlueConduit chief data scientist Jared Webb explains that a neighborhood with high amounts of predicted lead service lines has seen relatively few replacements. Service pipe work in Flint’s […]
NPR On Point: Prof. Schwartz talks about lessons from Flint for other cities
Eric Schwartz appeared on NPR’s On Point to talk about the lessons from his work in Flint can be applied to other cities.
MLive: Flint replaces more lead pipes using predictive model, researchers say
MLive’s Zahra Ahmad describes how the city’s rate of finding lead or galvanized service lines increased from 15 to 70 percent when it switched back to using the model developed by Eric Schwartz and Jake Abernethy. The rate of finding lead or galvanized service pipes in Flint has increased 15 to 70 percent while using […]
University of Michigan: Using data science to manage the Flint Water Crisis
To assist in the Flint Water Crisis, University of Michigan’s Data Science team partnered with Flint and Google to design digital tools to help manage the ongoing water crisis.
The New Scientist: How AI is finding thousands of hazardous pipes
The New Scientist: Jacob Abernethy at Georgia Tech and his colleagues built an AI to predict which homes are likely to be connected to a lead pipe. They drew on work by a separate team that digitised old city plans and more than 140,000 handwritten records of building work in the city. The system catalogues […]
