Build insight under real constraints
Selected teams receive transport and logistics datasets and have 35 non-stop hours to analyse, validate and transform them into innovative operational, service or business solutions.
AISCL at The Chinese University of Hong Kong invites the next generation to turn complex logistics data into practical, high-impact ideas.
Selected teams receive transport and logistics datasets and have 35 non-stop hours to analyse, validate and transform them into innovative operational, service or business solutions.
Present your findings to professors and senior industry leaders. The strongest teams combine analytical rigour, business value and memorable communication.
Seminars, logistics infrastructure visits and data analysis workshops ground every idea in the realities of modern logistics.
Teams of two to three are encouraged to bring together data, engineering, design, logistics and commercial thinking.
Help showcase Hong Kong as a regional logistics hub and reimagine how AI can create measurable industry value.
Both leagues compete over the same event period, with dedicated selection and judging within each league.
Open to full-time undergraduate and postgraduate students. Cross-university and multidisciplinary teams are welcome.
Open to Secondary 4 to 6 or Grade 10 to 12 students in Hong Kong. A school recommendation letter is required.
From application to final presentation, keep these checkpoints on your radar.
Full event scheduleAll interested local Secondary 4 to 6 or Grade 10 to 12 students may join. Datathon registrants receive attendance priority.
Topics include supply chains, air cargo and shipping, global trade, e-commerce, logistics technologies, plus AI and cloud data analytics tools.
Programme details are subject to operational confirmation. “TBC” speakers will be announced when confirmed.
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Asian Institute of Supply Chains & Logistics, The Chinese University of Hong Kong
aiscl@cuhk.edu.hk
+852 3943 4081
Room 949, 9/F, Cheng Yu Tung Building, 12 Chak Cheung Street, Shatin, Hong Kong