Jacob Abernethy and Jared Webb present Flint work at Bloomberg’s Data for Good Exchange
Prof. Jake Abernethy and Jared Webb presented at Bloomberg’s annual Data for Good Exchange in New York on September 15, 2019. They presented a case study for the effectiveness of machine learning for reducing lead service line replacement costs in Flint, Michigan. Watch the session recording: Read the paper: Getting the Lead Out: Data Science […]
KDD 2018 Announces Best Paper & Other Awards
The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) in August 2018 awarded Jacob Abernethy, Alex Chojnacki, Arya Farahi, Eric Schwartz, and Jared Webb the prize for best student paper in the Applied Data Sciences track for their work in ActiveRemediation: The Search for Lead Pipes in Flint, Michigan. KDD is one […]
