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USC Dornsife Spatial Sciences Institute

Siqin (Sisi) Wang

Siqin (Sisi) Wang

Associate Professor (Teaching) of Spatial Sciences

  • Ph.D., Geography, University of Queensland, Australia
  • M.S., Geographic Information Science, Northern Illinois University
  • B.S., Urban Planning, Sun Yat-Sen University, China

Siqin (Sisi) Wang, Ph.D., is an Associate Professor (Teaching) of Spatial Sciences with the Spatial Sciences Institute in the Dornsife College of Letters, Arts and Sciences at the University of Southern California.

Dr. Wang’s research interests are in GIScience, spatiotemporal big data analytics, computational social science, digital health geography, human-centered GeoAI, human mobility and migration, smart cities and human-climate interactions and she has published extensively in these areas. Her co-first author 2021 paper on human mobility and COVID-19 transmission received the 2022 Best Paper Award and Most Downloaded Paper from the Annals of GIS in 2023.

Her professional roles include service as the Associated Chair for the Spatial Data Lab affiliated with Harvard University and as Vice Chair of the Young Scientist Innovation Network for Digital Earth of the International Society for Digital Earth

Prior to joining the USC Spatial Sciences Institute, Dr. Wang was an Adjunct Senior Lecturer at the Royal Melbourne Institute of Technology, Australia, and an Honorary Lecturer/Research Fellow with the University of Queensland, Australia. From April 2022 to July 2023, she also was a JSPS Research Fellow with the University of Tokyo, Japan, researching healthcare access and social vulnerability in the post-COVID Japan.


Selected Works

Wang, S., Huang, X., She, B., Li, Z. Diverged landscape of restaurant recovery from the COVID-19 pandemic in the United States. iScience, June 16, 2023.

Wang, S., Cai, W., Tao, Y., Sun, Q. C., Wong, P. P. Y., Huang, X., & Liu, Y. Unpacking the inter-and intra-urban differences of the association between health and exposure to heat and air quality in Australia using global and local machine learning models. Science of the Total Environment, 162005, May 1, 2023.

Wang, S., Sun, Q., Tao, Y., Huang, X., Dong, C., Das, S., Liu, Y. Health-integrated heat risk assessment in Australian cities. Environmental Impact Assessment Review, April 25, 2023.

Wang, S., Ning, H., Huang, X., Wei, K., Xiao, Y. Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Times Series Study from 2012 to 2022. Journal of Medicine Internet Research, February 6, 2023.

Wang, S., Huang, X., Tao, H., She, B., Zhang, M., Wang, R., Grubner, O., Immand., M., Corcoran, J., Liu, Y. A global portrait of expressed negativity towards COVID-19 in social media space. International Journal of Applied Earth Observation and Geoinformation 116, 103160, February 2023.

Wang, S., Wang, R., Huang, X., Li., Z. Bao, S. How does heterogeneity in dwelling type preferences relate to housing and built environment characteristics?. International Journal of Digital Earth, 16(1), 93-112, January 3, 2023.

Wang, S., Liu, Y., and Wang, H. Climate gentrification: A conceptual framework and empirical evidence in the City of Gold Coast, Australia. Cities, 132, 104100, January 2023.

Wang, S., Sadahiro, Y. A fine-grained evaluation of social vulnerability to COVID-19, healthcare access and built environmental disparities in Tokyo, Japan.. International Journal of Digital Earth, 15(1), 2006-2027, November 15, 2022.

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