Lead Poisoning

In collaboration with the Chicago Department of Public Health, I led the development of a predictive model to target home lead investigations. The source code is available on GitHub. Our work was reported in the Chicago Tribune, The Atlantic, and South Side Weekly. We wrote a paper on the development of the model and are working on its validation:

Predictive Modeling for Public Health: Preventing Childhood Lead Poisoning
21st ACM SIGKDD Proceedings
Eric Potash, Joe Brew, Alexander Loewi, Subhabrata Majumdar, Andrew Reece, Joe Walsh, Eric Rozier, Emile Jorgensen, Raed Mansour, and Rayid Ghani

Validation of a Prediction Model for the Primary Prevention of Childhood Lead Poisoning
Submitted.
Eric Potash, Rayid Ghani, Emile Jorgensen, Cortland Lohff, Nik Prachand, and Raed Mansour

Field Trial Design

Randomization Bias in Field Trials to Evaluate Targeting Methods
Economics Letters 167, 131-135
Eric Potash

Fairness

Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions
Shira Mitchell, Eric Potash, Solon Barocas

Hazardous Waste

I led a collaboration with the New York State Department of Environmental Conservation to predict violations of the Resource Conservation and Recovery Act which governs the management of hazardous waste. The source code is on GitHub and we are working on a paper:

Predictive Modeling for Environmental Protection: Hazardous Waste Management
Eric Potash, Jimmy Jin, Maria Kamenetsky, Dean Magee, Paul van der Boor, Rayid Ghani

Research - Eric Potash