Peer-reviewed Journal Articles
Topic Modeling to Discover the Thematic Structure and Spatial-temporal Patterns of Building Renovation and Adaptive Reuse in Cities. Lai, Y. and Kontokosta, C., Computers, Environment, and Urban Systems, Vol. 78, 2019.
The impact of urban street tree species on air quality and respiratory illness: A spatial analysis of large-scale, high-resolution urban data, Lai, Y. and Kontokosta, C., Health and Place, Vol. 56, 2019.
Peer-reviewed Conference Proceedings
A Dynamic Spatial-Temporal Model of Urban Carbon Emissions for Data-Driven Climate Action by Cities. Kontokosta, Constantine E., Yuan Lai, Bartosz Bonczak, Sokratis Papadopoulos, Boyeong Hong, Awais Malik, and Nicholas Johnson. Proceedings of the Bloomberg Data for Good Exchange 2018, New York, NY.
Analyzing the Drivers of Pedestrian Activity at High Spatial Resolution, Lai,Y. and Kontokosta, C., Conference Proceedings, 2017 Conference ASCE International Conference on Sustainable Infrastructure, New York, 2017.
Measuring the Impact of Urban Street Trees on Air Quality and Respiratory Illness: A Data-Driven Approach to Environmental Justice. Lai Y and Kontokosta C. Proceedings of the Bloomberg Data for Good Exchange 2017, New York, NY.
Integrated Data Intelligence for Urban Health. Lai, Y and Stone DJ. In: Data Science and Global Health. Harvard-MIT Health Sciences and Technology. Springer. 2019. (forthcoming)
Integrating non-clinical data with EHRs. Lai Y, Salgueiro F, Stone DJ. In: MIT Critical Data Group, editors. Secondary analysis of electronic health records. Cham: Springer International Publishing AG; 2016.
Pulling It All Together: Envisioning a Data-Driven, Ideal Care System. Stone D, Rousseau J, Lai Y. In: MIT Critical Data Group, editors. Secondary analysis of electronic health records. Cham: Springer International Publishing AG; 2016.
Invited Talks, Presentations, and Media Coverage
Guest Lecture, “Urban Informatics and Big Data for Quality-of-Life.” for a graduate course HST.936: Leveraging Data Science in Global Health. Harvard-MIT Health Sciences and Technology (HST). Feb 8, 2019.
“Applied Analytics in Cities”, invited lecture, Taipei Medical University School of Management, Taipei, October 2018
“Urban informatics and interpretable data”, invited lecture, Graduate School of Architecture, Planning and Preservation, Columbia University, February 2017
“Urban Design with Big Data”, invited presentation, MIT Senseable City Lab, July 2014