Developing task-driven GeoDataGPT: A powerful paradigm for smart data governance in Hong Kong’s Common Spatial Data Infrastructure
Project Title | Developing task-driven GeoDataGPT: A powerful paradigm for smart data governance in Hong Kong’s Common Spatial Data Infrastructure |
Project Description | The project focuses on developing "GeoDataGPT," an advanced AI-driven system designed to enhance smart data governance within Hong Kong's Common Spatial Data Infrastructure (CSDI). GeoDataGPT employs a task-driven paradigm, leveraging geospatial data and AI technologies to enable efficient data management, sharing, and decision-making. It aims to address key challenges such as interoperability, data integration, and accessibility while supporting sustainable urban planning, disaster management, and smart city initiatives in Hong Kong. This project positions itself as a critical step toward modernizing spatial data governance to optimize public and private sector operations. |
Tasks and Responsibilities | (1) Leveraging Large Language Models (LLMs) in GIS development unlocks a new frontier of spatial intelligence (2) Enabling intuitive data interaction, automated analysis, and enhanced decision-making (3) Bridging human understanding with geospatial complexity for smarter, more accessible solutions." |
Minimum Qualifications | Programming skills in Python, LLM experience, GIS development. |
Terms of the Project (ex: 6 months or one year) | one year |
First Name | Xintao |
Last Name | Liu |
Job Title | Associate Professor |
Organization | The Hong Kong Polytechnic University |
Email |