ASEAN Data Science Explorers 2025 (ASEAN DSE)

ASEAN Data Science Explorers (ASEAN DSE) competition is one element of the ASEAN DSE programme, which aims to:

• Promote ASEAN awareness, particularly ASEAN 2025: Forging Ahead Together, ASEAN Socio-Cultural Community Blueprint 2025 (ASCC), and ASEAN Economic Community Blueprint 2025 (AEC)
• Promote United Nations – Sustainable Development Goals (UN-SDGs)
• Empower youths across the 10 ASEAN Member States with data analytics skills and other relevant skills such as problem-solving skill, critical thinking skill, analytical thinking skill, collaboration skill, and communication skill
• Inspire youths across the ASEAN region to take part in tackling pressing socio-economic issues across the region through data-driven proposals that will contribute to the achievement of the UN-SDGs within the region

ASEAN DSE competition has been endorsed by the ASEAN Senior Officials Meeting on Youth (SOMY) and ASEAN Senior Officials Meeting on Education (SOM-ED) as it supports the achievement of the ASEAN Work Plan on Youth and Education 2021-2025.

Who are eligible to participate in this Competition?

This competition is dedicated to youths with ASEAN nationality aged 15 to 30 currently undertaking full-time education in educational institutions (high school, polytechnic, universities, etc.) based in the 10 ASEAN countries. Detailed information about the eligibility of participants can be found here.

What to do?

In this competition, your team (one team comprising two students from the same ASEAN country) is required to develop data analytics storyboards/proposalsusing SAP Analytics Cloud (SAC). You need to choose one particular issue in ASEAN across the six selected SDGs to solve through their data analytics storyboard.

After your team selected the issue, the team is advised to gather relevant datasets to analyse using SAC and start developing their storyboard. You can use this list of sources to gather your datasets or other reliable sources you know and are familiar with. If you are not familiar with SAC and how to operate it, you can learn about it through the SAC Manual and mock-up datasets we have provided in this website.