We are a dynamic research initiative based at Wuhan University, China. The Co in the lab name stands for collective, complexity, computation and collaboration. Our mission is to develop data-driven, human-centric, and cross-cutting methodologies for tackling urban problems from a geospatial perspective.
To this end, we leverage a couple of urban sensing data sets to explore the complexity of human mobility patterns and urban spatio-temporal structures. We want to be able to build the perfect data analytics to answer the scientific questions we deem most important (see Research). We also frequently exchange ideas and work with our collaborators from the PKU Spatio-Temporal Social Sensing Lab, as well as with the colleagues from our world-class giscience section.
We are looking for passionate new Bachelor students, Master students, PhD students, and Postdocs interested in Urban Big Data Analytics to join the team (more info) !
CFP: The 15th Conference on Spatiotemporal Behavior and Planning: Spatiotemporal Behavioral Interaction and Urban Sustainability.06. October 2019
CFP: Statistical Methods and Deep Learning for Trajectory Data Analysis at the AAG 2020 GeoAI Symposium.25. July 2019
Chaogui joins the Center for Urban Science + Progress at New York University as a visiting scholar.9. July 2019
Chaogui talks the spatio-temporal evolution of urban crowd flows at the GCSS 2019.