Here is a collection of helpful resources that BlueConduit has put to together to better understand our work and important government policies.
Our team pioneered the use of predictive modeling to help the city of Flint, Michigan efficiently replace its pipes.
American Rescue Plan Funding: A playbook for efficiently getting the lead out
Outlines important considerations for regulators and utilities when using statistical methods for LSL inventory and replacement.
Using natural language processing, this report explores the content and tone of LCR revision public comments.
Bloomberg Data for Good Exchange
A case study for the effectiveness of machine learning for reducing lead service line replacement costs in Flint, Michigan (presented by Jared Webb and Jacob Abernethy).
SIGKDD Active Remediation
Winner of best student paper in the Applied Data Sciences track at KDD 2018