Data Science | Urban Informatics | Civic Analytics
Kontokosta, C. E., Reina, V. J., & Bonczak, B. (2019). Energy Cost Burdens for Low-Income and Minority Households: Evidence From Energy Benchmarking and Audit Data in Five US Cities. Journal of the American Planning Association, 1-17.
Bonczak, B., & Kontokosta, C. E. (2019). Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data. Computers, Environment and Urban Systems, 73, 126-142.
Papadopoulos, S., Bonczak, B., & Kontokosta, C. E. (2018). Pattern recognition in building energy performance over time using energy benchmarking data. Applied Energy, 221, 576-586.
Johnson, N. E., Bonczak, B., & Kontokosta, C. E. (2018). Using a gradient boosting model to improve the performance of low-cost aerosol monitors in a dense, heterogeneous urban environment. Atmospheric Environment, 184, 9-16.
Kontokosta, C., Lai, Y., Bonczak, B., Papadopoulos, S., Hong, B., Johnson, N., & Malik, A. (2018). A Dynamic Spatial-Temporal Model of Urban Carbon Emissions for Data-Driven Climate Action by Cities. Bloomberg Data for Good Exchange 2018.
Papadopoulos, S., Bonczak, B., & Kontokosta, C. E. (2017). Spatial and geographic patterns of building energy performance: A cross-city comparative analysis of large-scale data. In International Conference on Sustainable Infrastructure 2017 (pp. 336-348).
Kontokosta, C. E., Bonczak, B., & Duer-Balkind, M. (2016). DataIQ : Measuring Data Quality and Reliability of Self-Reported EnergyBenchmarking Data. In Proceedings of the ACEEE Summer Study on Energy Efficiency in Buildings 2016