Projects

Spatial Regression Analysis of Poverty in R

These tutorials supplement the teaching note “Spatial Regression Analysis of Poverty in R” (2019) by Kamenetsky, Chi, Wang, and Zhu (Spatial Demography, 2019). The SpatialRegPovertyR repository for these tutorials can be found here.

Using tidycensus

Weighting and transformations

Using tmap

Predictive Enforcement of Pollution and Hazardous Waste Violations in New York State - Data Science for Social Good 2016

In the summer of 2016, I had the opportunity to work as a Data Science Fellow at Data Science for Social Good Summer Fellowship. My team (fellows Jimmy Jin, Dean Magee, and me; technical mentors Adolfo de Unanue & Eric Potash; project manager Paul van der Boor) worked alongside the New York State Department of Environmental Conservation (NYSDEC) to develop a predictive model that could identify facilities with high likelihood of violating environmental regulations.

Details on the project and conference video can be found here.

Our final paper, Predictive Modeling for Environmental Protection: Hazardous Waste Management , can be found here .