Qingqing Chen
Education:
BS: Physics, 2014, Minjiang University, China
MS: Physics, 2015, National University of Singapore, Singapore
Research Intersts:
Urban Data Science, Smellscape, Multi-sensory Urban Experience, Social Media & Big Data, Spatial Analysis & Visualization
Grants and Awards:
2024 OpenAI Researcher Access Program Award, US
2024 Travel Awards of AAG Geospatial Cyberinfrastructure Workshop, UTD-NSF, US
2024 GSA Conference Funding Awards, University at Buffalo, US 2024 Finalist of John Odland Paper Competition, SAM-AAG, 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
2023 Travel Awards of I-GUIDE Summer School Program, UCAR-NSF, US
2023 Quantitative Finance Women Mentorship Program, Morgan Stanley, US
2023 Finalist of the 1st Art of Research Competition, University at Buffalo, US
Bio:
Qingqing Chen is a Ph.D. candidate under the supervision of Dr. Andrew Crooks in the Department of Geography at the University at Buffalo. Her research focuses on critically understanding how cities function through examining the interdependence between people and urban environments leveraging (geo)computational techniques and data informatics. Her Ph.D. research targets the often-overlooked olfactory lens in urban studies to examine the role of smells and their connection to visual aspects in urban experiences. Qingqing holds an M.Sc. in Physics from the National University of Singapore (NUS). Prior to starting her Ph.D., she worked as a Research Associate at the Singapore University of Technology and Design (SUTD) and as a Research Engineer at the Singapore-MIT Alliance for Research and Technology Centre (SMART).
Recent Courses Taught:
GEO 211 (Univariate Statistics in Geography)
GEO481/506 Geographical Information Systems (Lab)
Publications:
Chen, Q., Wang, B., & Crooks, A. (2024). Community resilience to wildfires: A network analysis approach by utilizing human mobility data. Computers, Environment and Urban Systems, 110, 102110. https://doi.org/10.1016/j.compenvurbsys.2024.102110
Crooks, A., & Chen, Q. (2024). Exploring the new frontier of information extraction through large language models in urban analytics. Environment and Planning B: Urban Analytics and City Science, 51(3), 565-569. https://doi.org/10.1177/23998083241235495
Poorthuis, A., Chen, Q., Zook, M. (2024). A nationwide dataset of de-identified activity spaces derived from geotagged social media data. Environment and Planning B: Urban Analytics and City Science, 23998083241264051. https://doi.org/10.1177/23998083241264051
Chuang, I. T., & Chen, Q. (2024). Urban street dynamics: Assessing the relationship of sidewalk width and pedestrian activity based on mobile phone data. Urban Studies. https://doi.org/10.1177/00420980241293659
Chen, Q., Croitoru, A. & Crooks, A. (2023). A comparison between online social media discussions and vaccination rates: A tale of four vaccines. Digital Health, 9, 20552076231155682. https://doi.org/10.1177/20552076231155682
Chuang, I. T., Chen, Q., & Poorthuis, A. (2023). Categorizing urban space based on visitor density and diversity: A view through social media data. Environment and Planning B: Urban Analytics and City Science, 50(6), 1471-1485. https://doi.org/10.1177/23998083221139848
Chen, Q., & 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., & Chen, Q. (2022). Are urban hotspots to avoid or to embrace? Determining the resilience of Auckland city's urban hotspots under lockdown constraints. Available at SSRN: http://dx.doi.org/10.2139/ssrn.4015368
Chen, Q., & 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://doi.org/10.1145/3486184.3491080
Chen, Q., Chuang, I. T., & Poorthuis, A. (2021). Entangled footprints: Understanding urban neighborhoods by measuring 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., & 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., & Hemond, H. F. (2017). A multi-platform optical sensor for in vivo and in vitro algae classification. Sensors, 17(4), 912. https://doi.org/10.3390/s17040912
Ng, C. L., Ng, Y. J., Chen, Q., & 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/