Here is a collection of helpful resources that BlueConduit has put to together to better understand our work and important government policies.
Flint Case Study
Our team pioneered the use of predictive modeling to help the city of Flint, Michigan efficiently replace its pipes.
ASDWA White Paper
Outlines important considerations for regulators and utilities when using statistical methods for LSL inventory and replacement.
Lead and Copper Rule Public Comment Topic Analysis
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