Boyeong Hong

A data-driven framework for abnormally high building energy demand detection with weather and block morphology at community scale

Wei Wang, Xiaodong Xu, Jiayu Chen, 2022, Journal of Cleaner Production.

Measuring sensitivity to social distancing behavior during the COVID-19 pandemic

Constantine E. Kontokosta, Bartosz Bonczak, Boyeong Hong, 2022, Scientific Reports.

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..

Bias in smart city governance: How socio-spatial disparities in 311 complaint behavior impact the fairness of data-driven decisions

Constantine E. Kontokosta, Boyeong Hong, 2021 .

Measuring inequality in community resilience to natural disasters using large-scale mobility data

Constantine E. Kontokosta, Arpita Gupta, Boyeong Hong, 2021, Nature Communications.

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.

Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City

Constantine E. Kontokosta, Ira M. Bellach, Awais Malik, 2018 .

Exposure density and neighborhood disparities in COVID-19 infection risk

Constantine E. Kontokosta, L. Thorpe, Arpita Gupta, 2021, Proceedings of the National Academy of Sciences.