Vision, Strategic Research Direction, and Development Approach
Vision
The School of Data Science will be the premier incubator for data innovation in Asia, nurturing leading data scientists through an interdisciplinary curriculum that fosters ethical, critical and strategic thinking.
Strategic Research Direction
AI and Data Science for Human Development and Industrial Transformation
SDS brings together two complementary research pillars under the positioning Intelligence for People and the Physical World:
1. Human-Centered AI
Developing AI and data science that enhance human capabilities, support human decision-making and improve human–AI interaction.
2. Industrial and Embodied Intelligence
Developing intelligent systems that can perceive, reason, optimise, decide and act in complex physical and industrial environments.
These pillars are associated with the Division of Artificial Intelligence and the Division of Industrial Data Science, respectively. Collaboration between the pillars is encouraged where research addresses both human and physical or industrial dimensions.
Development Approach
Cross Disciplines. Cross Intelligence. Cross Regions.
跨學科 · 跨智能 · 跨區域
The strategic research area will be advanced through three connected dimensions:
- Cross-disciplinary Integration — connecting AI and data science with fields such as engineering, education, business, the social sciences and the humanities.
- Cross-intelligence Collaboration — bringing together human intelligence and machine intelligence through research in interaction, decision-making, augmentation and intelligent systems.
Cross-regional Connectivity — strengthening research, innovation and partnership across Hong Kong, the Greater Bay Area, Mainland China and the international community.