11.8著名学者Mei Po KWAN教授报告通知：How GIS can Help Address the Uncertain Geographic Cont

 

Mei-Po Kwan is currently Visiting Professor of Geography at the University of California, Berkeley, Visiting Scientist at Massachusetts Institute of Technology (MIT), and Visiting Chair Professor at the Hong Kong Polytechnic University (2012-2013). She received an MA degree in Urban Planning from UCLA and a Ph.D. in Geography from UC Santa Barbara. She received the 2005 UCGIS Research Award for outstanding contributions to GIScience from the University Consortium for Geographic Information Science (UCGIS). In 2011, Kwan received a Distinguished Scholarship Honors award from the Association of American Geographers (AAG). She has received 43 grants as PI or co-PI totaling about US$19 million from the U.S. National Science Foundation, the U.S. National Institutes of Health, the U.S. National Center for Geographic Information and Analysis (NCGIA), U.S. Department of Transportation, the National Natural Science Foundation of China (NSFC), and other sources. She has published 22 edited/co-edited volumes and special issues, and over 100 journal articles and book chapters. She has delivered over 123 keynote addresses and invited lectures in 14 countries. Kwan is currently Editor of the Annals of the Association of American Geographers and the book series entitled “SAGE Advances in Geographic Information Science and Technology.”

 

Kwan has developed innovative GIS methods including GIS-based geocomputation, 3D geovisualization, and qualitative GIS. Her research addresses transportation, social, economic, and environmental health issues in urban areas through the application of innovative geographic information system (GIS) methods. She is interested in understanding how social difference (e.g., gender, race, and religion) shapes people’s everyday experiences and their perceptions/use of urban space. She is also interested in the effects of the social and physical environment (e.g., land use) on people’s well-being and behavior (e.g., access to jobs, mobility, and health behavior) and their implications for policy.