Flint Water Crisis: Data-Driven Solutions & Transparency

In this session we’ll give you a brief overview of the Flint Water Crisis and how we made lead service line discovery more efficient during the City’s recovery. We’ll then present a comparative case study on the efficacy of data-driven models and using machine learning to replace service lines in Flint, versus a non data-driven approach. Finally, we’ll discuss our development and implementation of a public outreach tool: an interactive map for residents to observe replacement efforts, which includes up-to-date model predictions for every home in the city.