Flint Portfolio
In collaboration with my colleague and friend, Prof. Eric Schwartz, and with the help of several talented students as part of the Michigan Data Science Team, we have contributed a great deal of statistical and data-oriented work towards recovery efforts in Flint’s water crisis. A handful of relevant news references:
Articles
- Flint water crisis: How AI is finding thousands of hazardous pipes - New Scientist (August 2018)
- Using Data Science to Fix the Flint Water Crisis - Georgia Tech School of Computer Science (August 2018)
- Get the lead out - Michigan Today (August 2018)
- Michigan Allots $87 Million to Replace Flint’s Tainted Water Pipes - New York Times (March 2017)
- Researchers: Flint might need 29K water lines replaced - Detroit News (December 2016)
- Number of homes that need new water pipes in Flint has doubled, study says - MLive (December 2016)
- Data for city resilience: tackling the water crisis in Flint, MI - Medium.com (October 2016)
- Study: Flint lead contamination goes beyond service pipes - Detroit Free Press (September 2016)
- The Conversation: Understanding Flint’s Remaining Water Crisis Risks - Scientific American (September 2016)
- Google Is Helping Flint Prioritize Which Lead Pipes Need to Be Replaced - Gizmodo (May 2016)
- Can data help in Flint? Google gives cash to help figure it out - Chicago Tribune (May 2016)
Talks
- Ensemble Models for Predicting Lead Contamination Sites in Flint, Michigan - A talk I gave at the National Academies of Engineering (February 2018)
Papers
- A Data Science Approach to Understanding Residential Water Contamination in Flint - Conference on Knowledge and Data Discovery (August 2018)
- ActiveRemediation: The Search for Lead Pipes in Flint, Michigan - Conference on Knowledge and Data Discovery (Best Student Paper Award)