Boyeong Hong

Getting to Zero: Using Machine Learning to Predict Waste Generation at the Building Level for Equitable Waste Reduction Policies

Boyeong Hong, 2017 .

Using machine learning and small area estimation to predict building-level municipal solid waste generation in cities

Constantine E. Kontokosta, Daniel Starobin, Boyeong Hong, 2018, Comput. Environ. Urban Syst..

Predictors of Re-admission for Homeless Families in New York City: The Case of the Win Shelter Network pdf

Constantine E. Kontokosta, Awais Malik, Boyeong Hong, 2017, ArXiv.

Exposure density and neighborhood disparities in COVID-19 infection risk pdf

Constantine E. Kontokosta, Bartosz Bonczak, Boyeong Hong, 2020, Proceedings of the National Academy of Sciences.

Equity in 311 Reporting: Understanding Socio-Spatial Differentials in the Propensity to Complain pdf

Constantine E. Kontokosta, Boyeong Hong, Kristi Korsberg, 2017, ArXiv.