Spatially Integrated Social Science (SISS) Lab

Welcome to the Spatially Integrated Social Science (SISS) Lab at University of New Mexico (UNM)! The SISS Lab explores the spatial-temporal dimension of the complex human and social dynamics using Geographical Information Science (GIScience). Driven by this common interest, a group of UNM scholars and student researchers have been working collaboratively on

  • Developing and implementing novel methodologies to study complex spatial-temporal patterns and dynamics.
  • Using spatial-temporal analysis to assist theoretical understanding and empirical testing in the social sciences.
  • Facilitating spatial thinking in the social sciences and promoting collaboration across disciplines and paradigm.




Dr. Xi Gong is an Assistant Professor in the Department of Geography and Environmental Studies and Center for the Advancement of Spatial Informatics Research and Education (ASPIRE) at University of New Mexico, where he leads the Spatially Integrated Social Science (SISS) Lab. He received his PhD in Geographic Information Science (2016) from Texas State University, M.Sc. in Cartography & Geographic Information System (2011) from the University of Chinese Academy of Sciences, Beijing, China, and B.Eng. in Spatial Informatics and Digitalized Technology (GIS & Software Engineering) (2008) from Wuhan University, Wuhan, China. His main research interests include developing and implementing novel spatial-temporal data mining algorithms, environmental exposure assessment methods, and visual analytics approaches for big data to better understand the relationships among human health, society, and environment.




YujianLuYujian Lu obtained his Master degree in Urban and Environmental Planning from Arizona State University. He joined the PhD program in Department of Geography and Environmental Studies at University of New Mexico in 2020 fall. Yujian studies GIS application, urban planning, and statistics to explore complex real-world environmental and urban problems. He is interested in social media data mining, spatial statistics, urban land use, and sustainability, especially how social media data can help us find people’s transit behavior during natural disasters and how to use his knowledge to solve social and environmental problems caused by urbanization. In his free time, he likes hiking and swimming.


yongwangYong Wang is a Ph. D. student in the Department of Health, Exercise & Sports Sciences with a sport administration concentration at the University of New Mexico. His research interests focus on identity and its impact on marketing, endorsement, and consumer behavior in the sport context. Formerly a sports journalist and PR manager, he received a bachelor’s degree in English Language and Literature from Sun Yat-sen University, China (2006), and a master’s degree in Sport Management from Springfield College, MA (2017).




David Jacobs obtained his B.S. degree in Geography from Univerity of New Mexico. He is now a Database Design and Analysis Manager at the Geospatial and Population Studies at Univerity of New Mexico. He has overseen many research projects and database developments. He created a custom address locator to geocode the over 40,000 traffic crashes that occur in New Mexico annually, and also works closely on data requests, community reports, the DWI report, and the annual report. He will join the M.S. program in Department of Geography and Environmental Studies at University of New Mexico in 2021 fall.




Lin Liu is a PhD student from Department of Computer Science at University of New Mexico. He obtained his Master degree of Electrical Engineering from Northeastern University. His primary research interest focuses on machine learning techniques and data mining. Lin is also interested in statistical inference method, analyzation and optimization of computer algorithms.