Smart Logistics Datathon 2024

Open to All Full-Time Students: Participation is open to all full-time students, including university students in Asia as well as Secondary 4 to Secondary 6 (or Grade 10 to Grade 12) students in Hong Kong.

Encouraging Cross-Disciplinary Teams: To encourage cross-disciplinary collaborations, interested student participants should form a team of two to three members, preferably from different disciplines.

Secondary School Extension: With a view to enhancing younger students’ understanding of the modern logistics industry, this year, we have extended our reach to secondary school students.

League Competitions: The student teams of (i) University League and (ii) Secondary School League are competing during the same time period within their respective leagues.

Around 15 to 20 selected teams for each League will be invited to join the Datathon.

Overseas participants will arrive and check in to the hotel on April 1 afternoon. On April 2 morning, all participating teams will attend industry workshops and/or site visits in relation to Smart Logistics. After the opening ceremony in the evening, student teams will check in to the camp and will be given several sets of transport and logistics related data.

Participating teams will be given 35 hours non-stop to understand and conduct in-depth analysis on the provided data as well as the open data published by the HKSAR Government, and then come up with innovative insights on operation, service or business models that can bring values to the logistics industry. Upon finishing the data analysis, each team will have 10 minutes to present or demonstrate their results in front of a panel of judges.

Join the exciting hands-on workshop before the Datathon in mid-March, organized by Amazon Web Services (AWS). Through this 2-3 hour session, participants can learn how to leverage AWS tools such as Amazon SageMaker Canvas for low-code/no-code machine learning, and to make evidence-based decisions using prediction techniques. This hands-on training is helpful for participating teams, helping them master data analytics tools and apply them effectively in the Datathon. Don't miss out on this opportunity to gain a competitive edge!

Each participating student will also be given USD$100 credits for utilizing AWS tools on AWS Academy to explore the given datasets during the Datathon, making learning into practice!