Hang Song

Hang is passionate about geography, GIS, digital cartography, education, and statistics, and has worked with ArcGIS, big data, R, SPSS, and related technologies since 2016. After completing a double major for his BS in Engineering and Management Studies, he began earning Industry and Organizational (I/O) Psychology Master’s degree in Auburn University. Later he moved to Nature Resource Management major in Forestry and Wildlife Science department, where he focused on GIS and statistics for his master’s degree. His research involved the prediction of the relationship between the recovery rate of the pine forests and hurricane damage to the forestry near the Gulf of Mexico. During that time, he completed multiple, graduate-level courses in GIS and hazard risk through the Department of Geosciences and spent a great deal of time doing self-directed research into the relationship between human activities and social medical risk. His research interests include climate modeling, environment sustainability, and climate-human activities relationship. He is particularly interested in researching new methods for linking local social and biological information (population increase rate, land use land cover change rate, median income rate, etc.) with hazard damage rate and recovery. Future research plans include using statistical methods, modeling, satellite images, GIS, remote sensing and machine learning to study biological information-hazard, social psychology-hazard relationship. With his unique background, interests, and curiosity, he will make an excellent doctoral candidate in the geosciences.