Qingqing Chen


Qingqing Chen is a Ph.D. candidate under the supervision of Dr. Andrew Crooks in the Department of Geography at the University at Buffalo. In general, her research focuses on critically understanding urban space by leveraging (geo)computational techniques and data informatics. In particular, she is interested in decoding perceived urban space through multi-sensory human experiences, especially for non-visual human experiences. She received an M.S. in Physics from the National University of Singapore in 2015 and a B.S. in Physics from the Minjiang University of China in 2014. Prior to starting her Ph.D., she worked as a Research Associate at the Singapore University of Technology and Design (SUTD) from 2018 to 2021 and as a Research Engineer at the Singapore-MIT Alliance for Research and Technology Centre (SMART) from 2015 to 2018.


BS:  Physics, 2014, Minjiang University, China

MS:  Physics, 2015, National University of Singapore, Singapore

Research Intersts:

Urban Data Science, Geocomputation, Non-visual sensory measuring & monitoring, Social media & big data

Grants and Awards:

2023 Quantitative Finance Women Mentorship Program, Morgan Stanley, US

2023 Travel awards of 2023 I-GUIDE Summer School Program, UCAR-NSF, US

2023 Hugh W. Calkins Award, Department of Geography, University at Buffalo, US

2023 Excellence in Teaching Award, Department of Geography, University at Buffalo, US

Recent Courses Taught:

GEO 211 (Univariate Statistics in Geography)

GEO481/506 Geographical Information Systems (Lab)


Chen, Q., Croitoru, A. and Crooks, A. (2023). A Comparison between Online Social Media Discussions and Vaccination Rates : A Tale of Four Vaccines, DIGITAL HEALTH. 2023 ;9. doi:10.1177/20552076231155682

Chuang, I.-T., Chen, Q. and Poorthuis, A. (2022). Categorizing Urban Space based on Visitor Density and Di- versity : A View through Social Media Data, Environment and Planning B : Urban Analytics and City Science, 0(0). https://doi.org/10.1177/23998083221139848

Chen, Q. and Crooks, A. (2022). Analyzing the Vaccination Debate in Social Media Data Pre- and Post- COVID-19 Pandemic, International Journal of Applied Earth Observation and Geoinformation. 110, 102783 https://doi.org/10.1016/j.jag.2022.102783

Chuang, I.-T. and Chen, Q. (2022). Are Urban Hotspots in COVID-19 Pandemic : A Longitudinal Study of Human Mobility Pulse through Mobile Location Data, SSRN. http://dx.doi.org/10.2139/ssrn.4015368

Chen, Q. and Crooks, A. (2021). “Delineating a ‘15-Minute City’: An Agent-based Modeling Approach to Estimate the Size of Local Communities”, In Proceedings of the 4th ACM SIGSPATIAL international workshop on GeoSpatial simulation (pp. 29-37) https://dl.acm.org/doi/abs/10.1145/3486184.3491080

Chen, Q., Chuang I.-T., Poorthuis, A. (2021). Entangled Footprints : Understanding Urban Neighbourhoods by Measu- ring Distance, Diversity, and Direction of flows in Singapore, Computers, Environment and Urban Systems, 90, 101708. https://doi.org/10.1016/j.compenvurbsys.2021.101708

Chen, Q. and Poorthuis, A. (2021). Identifying Home Locations in Human Mobility Data : An Open-source R Package for Comparison and Reproducibility, International Journal of Geographical Information Science, 35(7), 1425-1448. https://doi.org/10.1080/13658816.2021.1887489

Ng, C.-L., Chen, Q., Chua, J.-J. and Hemond, H.F. (2017). A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification, Sensors 2017, 17, 912. https://doi.org/10.3390/s17040912

Ng, C. L., Ng, Y. J., Chen, Q., and Hemond, H. F. (2016). Corrections for Matrix Effects on Fluorescence Measurement of A Multi-platform Optical Sensor, Water Practice and Technology, 11(3), 644-660. https://doi.org/10.2166/wpt.2016.069

Personal Website: https://qingqingchen.info/