EdUHK Holds the Symposium on Data Science and Artificial Intelligence for Good 2025
The Education University of Hong Kong (EdUHK) hosted the Symposium on Data Science and Artificial Intelligence for Good 2025 on 19 March. It attracted top scholars and industry experts to explore the potential of data science and artificial intelligence in driving social progress, and how to deal with the risks and challenges they bring.
Delivering welcome remarks at the opening ceremony, Professor Ken Yung Kin-lam, Associate Vice President (Research & Development) and Director of the University Research Facilities at EdUHK, said, “Data science and Artificial Intelligence deliver more effective solutions across various sectors, including healthcare, education, disaster response and environmental protection.” Professor Xu Guandong, Director of the University Research Facility of Data Science and Artificial Intelligence at EdUHK, said that as society transitioned into an era defined by data intelligence, it was becoming crucial to refine our educational methodologies.
The symposium focused on in-depth discussions around four main themes: Educational Technologies, Healthcare and Well-being, Privacy and Security, and Social Studies. Participating experts shared their latest research findings and practical experiences in the fields of data science and artificial intelligence, while exploring how these technologies can bring a positive impact to society.
Professor Zhou Aoying, Vice President and Founding Dean of the School of Data Science and Engineering at East China Normal University, Professor Zhang Yanchun from Victoria University, Australia, and Professor Lim Ee Peng, Director of the Artificial Intelligence & Data Science Cluster at Singapore Management University, spoke on “the impact of AI on education”, “e-Health and medical big data”, and “AI for digital health” respectively. Dr Cao Yang, Associate Professor of the Department of Computer Science at Institute of Science Tokyo, joined the discussion on Privacy Preserving in Using Large Language Models (LLMs).
The soft launch for EdUHK's first High-Performance Computing (HPC) facility was also held during the symposium. The new HPC facility, equipped with advanced Graphics Processing Unit (GPU) servers, is designed to handle multiple tasks simultaneously and process large datasets with remarkable speed. Professor Chetwyn Chan Che-hin, Vice President (Research and Development) at EdUHK, said this cutting-edge technology would empower faculties, researchers, and students to conduct intensive data-analytic studies across diverse disciplines.
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EdUHK Holds the Symposium on Data Science and Artificial Intelligence for Good 2025
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