Peer-reviewed Journal Articles

Lai, Yuan, Wesley Yeung, and Leo A. Celi. 2020. "Urban Intelligence for Pandemic Response: Viewpoint" JMIR Public Health & Surveillance.

Lai, Yuan and Constantine E. Kontokosta. 2019. "Topic modeling to discover the thematic structure and spatial-temporal patterns of building renovation and adaptive reuse in cities." Computers, Environment, and Urban Systems vol.78.

Lai, Yuan and Constantine E. Kontokosta. 2019. "The impact of urban street tree species on air quality and respiratory illness: A spatial analysis of large-scale, high-resolution urban data," Health and Place, Vol. 56, 2019.

Lai, Yuan and Constantine E. Kontokosta. 2018. "Quantifying place: Analyzing the drivers of pedestrian activity in dense urban environment," Landscape and Urban Planning, Vol. 180.

Celi, Leo A., Jeggery D. Marshall, Yuan Lai and David J. Stone. 2015. "Disrupting Electronic Health Records Systems: The Next Generation," Journal of Medical Informatics 3(4):e34.

Yin, Li, Samina Raja, Xiao Li, Yuan Lai, Leonard Epstein, and James Roemmich. 2013. "Neighborhood for Playing: Using GPS, GIS, and Accelerometry to Delineate Areas within which Youth are Physically Active," Urban Studies 2013; 1(18).

Peer-reviewed Conference Proceedings

Lai, Yuan. 2020. "Hyper-local Urban Contextual Awareness through Open Data Integration." 18th IEEE International Conference on Pervasive Computing and Communications, Austin, TX.

Kontokosta, Constantine E., Yuan Lai, Bartosz Bonczak, Sokratis Papadopoulos, Boyeong Hong, Awais Malik, and Nicholas Johnson. 2018. "A Dynamic Spatial-Temporal Model of Urban Carbon Emissions for Data-Driven Climate Action by Cities," Proceedings of the Bloomberg Data for Good Exchange, New York, NY.

Lai, Yuan and Constantine E. Kontokosta. 2017. "Analyzing the Drivers of Pedestrian Activity at High Spatial Resolution," Proceedings of the 2017 Conference ASCE International Conference on Sustainable Infrastructure, New York, NY.

Lai, Yuan and Constantine E. Kontokosta. 2017. "Measuring the Impact of Urban Street Trees on Air Quality and Respiratory Illness: A Data-Driven Approach to Environmental Justice," Proceedings of the Bloomberg Data for Good Exchange 2017, New York, NY.

Peer-reviewed Book Chapters

Lai, Yuan and David J. Stone. 2020. "Integrated Data Intelligence for Urban Health," Book Chapter in Data Science and Global Health. Harvard-MIT Health Sciences and Technology. Springer. (in press)

Lai, Yuan and Constantine E. Kontokosta. 2019. "Urban Data Mining: Sources, Types, and Limits," Book Chapter in Urban Intelligence: How Data and Information Can Shape Urban Planning, Design, and City Operations. London: Routledge. (In contract)

Lai, Yuan, Edward Moseley, Francisco Salgueiro, and David J. Stone. 2016. "Integrating Non-clinical Data with EHRs" in Secondary Analysis of Electronic Health Records, MIT Critical Data Group, ed. Springer International Publishing AG.

Stone, David J., Justin Rousseau, and Yuan Lai. 2016. "Pulling It All Together: Envisioning a Data-Driven, Ideal Care System" in Secondary Analysis of Electronic Health Records, MIT Critical Data Group, ed. Springer International Publishing AG.

News Articles, Technical Report, and Working Paper

Yuan Lai 2020. "How to see the inflection point? Application of data science in public health emergencies." Financial Times China.

Kontokosta, Constantine E., Yuan Lai, Sokratis Papadopoulos, Jacob Sagi, Franz Fuerst, and Gary Pivo. 2019. "Estimating Office and Multifamily Building Energy Retrofit Hurdle Rates and Risk Arbitrage in Energy Efficiency Investments." Working Paper for Real EstateResearch Institute & Lawrence Berkeley National Laboratory Research Grant.

Kontokosta, Constantine E., Yuan Lai, Bartosz Bonczak, Sokratis Papadopoulos, Boyeong Hong, Awais Malik, and Nicholas Johnson. 2017. "Urban Physiology: A Dynamic Spatial-Temporal Model of Urban Carbon Emissions to Drive Climate Action by Cities." Technical report for the United Nations Data for Climate Action Challenge.

Yuan Lai, Sreoshy Banerjea, Alison Von Glinow.2017. "Arrival House: How can we redesignand rethink housing to better integrate the arrival of immigrants to their new city?" Tech-nical report for Urban Design Forum Design for Arrival Program.

NYC Department of City Planning Capital Planning Division and NYU Center for Urban Science and Progree, 2016. "Neighborhood Profiles: Planning and Visualizing for Strategic Growth." Technical report for Applied Urban Science and Informatics master capstone project.

Invited Talks, Conference Presentations, and Media Coverage

Panel speaker, "Integrating Urban Open Data for Public Good", Open Data Science Conference (ODSC) East, Boston, MA. Apr 2020.

Panel paper presenter, "Using Big Data and Social Media to Understand Neighborhood Conditions", Association for Public Policy Analysis and Management (APPAM) Annual Fall Research Conference. Denver, CO. Nov 8, 2019.

Invited roundtable discussion with American Express, 13th Annual Machine Learning Symposium, The New York Academy of Sciences. New York. Mar 1, 2019.

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.

“Arrival House: an Integrated Co-Living Model for New Arrivals to NYC”, American Planning Association New York Metro Annual Conference, New York City, November 2018.

“Big Data for Local Climate Change”, MetroLab Network Summit, Newark, October 2018.

“Applied Analytics in Cities”, invited lecture, Taipei Medical University, College of Management Graduate Institute of Data Science, Taipei, October 2018.

“Design for Arrival: A co-live housing scenario”, Urban Design Forum, New York, March 2018.

U.S. Foreign Policy Colloquium 2017: National Committee on United States–China Relations

“Informatics for business improvement district operation: Grand Central Partnership”, conference panel, Bloomberg Data for Good Exchange Immersion Day, Bloomberg L.P., October 2017.

“Data for Good: Bloomberg supports data scientists’ work with nonprofits and municipalities to solve real-world problems” by NYC Media Lab on October 2017.

“Measuring the impact of urban street trees on air quality and respiratory illness”, conference presentation, Bloomberg Data for Good Exchange, October 2017.

“Data interface with AR in future work environment”, Tech at Bloomberg, August 2017.

“Bloomberg AR Fellows Prototype Possible Future for Augmented Reality in the Enterprise”, Tech at Bloomberg, August 2017.

“Analyzing the drivers of pedestrian activity at high spatial resolution”, International Conference on Sustainable Infrastructure, American Society Of Civil Engineers, 2017.

“Urban informatics and interpretable data”, invited lecture, Graduate School of Architecture, Planning and Preservation, Columbia University, February 2017

“Students Develop Tech Ideas into Reality at HackNYU 2016”, featured in NYU, March 2016

“Urban Design with Big Data”, invited presentation, MIT Senseable City Lab, July 2014.