# GeoAI and Geocomputation for Health and Crime Geography SortProject Title GeoAI and Geocomputation for Health and Crime Geography Project Description This project explores the applications of GeoAI and geocomputation in understanding spatial patterns and dynamics in health geography and crime geography. By leveraging multi-source geospatial data, including environmental, demographic, and behavioral datasets, the project aims to develop flexible analytical frameworks for studying urban risks, public health disparities, and crime patterns. Interns are encouraged to experiment with different datasets, methodologies, and computational techniques to explore innovative approaches in spatial data science, predictive modeling, and policy-relevant geospatial analysis. Tasks and Responsibilities Data Collection and Integration Exploratory Spatial Analysis Geocomputation and GeoAI Modeling Visualization and Mapping Documentation and Reporting Minimum Qualifications • Master’s or Ph.D. degree (or equivalent experience) in Geography, Data Science, Criminology, Public Health, or a related field. • Experience with GIS software (ArcGIS, QGIS, Google Earth Engine) and spatial analysis techniques. • Proficiency in Python, R, or other computational tools for geospatial data processing and modeling. • Interest in geocomputation, social geography, or spatial epidemiology. Terms of the Project (ex: 6 months or one year) 1 year First Name Yanqing Last Name Xu Job Title Professor Organization Wuhan University Email