Abstract

Aim:

• This project aims to produce new learning modules and workshops that seek to help social-science students to develop a comprehensive understanding of smart cities and improve their skills of urban big data analytics.

• The project will produce new e-learning modules on the emerging challenges for urban policy and development, theory and practice of smart cities, and big data analytics linked to urban policies.
• The project will produce new case-study modules that allow students to access and learn the best practice of smart cities on various dimensions (e.g., mobility, economy, public health, built environment and governance) from around the world.
• Workshops will be organized for students to engage in exercises of big data analysis targeted at urban issues, and communicate with external practitioners and academics in the related field.

• The project will be of utility for the ongoing pursuit of smart city development around the world by providing training on smart cities practice and big data analytics, and contribute significantly to the Sustainable Development Goals set by the United Nations and the smart city blueprint in Hong Kong.
• The project will improve the readiness of students in Hong Kong for urban policy making in the era of smart cities through a new set of micro modules and workshops.
• The project will help establish a growing international reputation in the field of teaching in smart cities and big data for the Department, Faculty, and other institutes (e.g. IOFC, ISEIS, and HKIAPS)