QS APPLE Virtual Conference & Exhibition

2 November 2021

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The 17th edition of the QS APPLE Virtual Conference & Exhibition is hosted by the Hong Kong Baptist University and will be held on 1-3 November 2021 (https://qsapple.org/agenda/). Themed “Future Rebalance: Emerging trends and workforce in the Asia Pacific”, this Conference will comprise insightful keynotes, enlightening panel discussions, and thought-provoking sessions. It serves as a collaborative platform to gather the thought-provoking leaders and experts in higher education to share their insights in learning and teaching.

We are pleased to announce that two of our faculty members would be presenting in the Conference as follows and you are welcome to register the Conference via https://qsapple.org/registration/.


2 November 2021 (Tuesday)


1:35 – 2:35pm (GMT +8)


Breakout Session 3: Cultivating Great Minds
(Innovation in Pedagogy)

Presentation Title:

Curriculum Innovation for the Challenge of Digital Transformation:
Integrating Data Science with Policy Studies


Professor Wilson Wong
Programme Co-Director,
Data Science and Policy Studies,
The Chinese University of Hong Kong

Dr. Man Fung Lo
Data Science and Policy Studies,
The Chinese University of Hong Kong

Presentation Abstract


This presentation shows how we can design a new curriculum to offer students the knowledge and capacities as future leaders to take up the challenge of digital transformation under a new world order of emerging and disruptive technologies. It starts with a critical examination of the problems and limitations of many existing and traditional curriculums which lead to a polarization of technical-oriented programmes vs. non-technical programme and a dual gap in knowledge and education. The presentation should provide insights on how to critically redesign our curriculum for educating our new generation to thrive into the job market of the future and master the new wave of digital transformation – the ability to tap on technologies to create new values in organizations, policies, and society. It would use the programme of Data Science and Policy Studies (DSPS) of the Chinese University of Hong Kong as a case to generate transferable lessons.