On 31st March, 2026 we organised our 1st Global Webinar that focussed on how Data Science, AI & Frontier Technologies are impacting Sustainable Development. This event was attended by more than 100 participants and also established our global community of practice.

To watch the recording of this webinar go to the link and register yourself before you can view the recording. You can also email dsforsd@gmail.com for any questions or comments

1. Background & Strategic Rationale

We are living in an Age of Polycrisis marked by climate instability, widening inequality, health emergencies, economic uncertainty, and geopolitical disruption. ASEAN, home to over 200 million young people, stands at a defining moment.

Artificial Intelligence and Data Science are projected to significantly transform regional economies. The central strategic question is whether these technologies will exacerbate inequalities or drive inclusive, sustainable development.

Frontier technologies — including AI, Machine Learning, IoT, geospatial analytics, UAV systems, predictive modeling, and digital public infrastructure — are now critical tools for climate resilience, public health preparedness, food security, disaster risk reduction, financial inclusion, and evidence-based governance.

For more details, read the think-pieces produced by our #DataScienceforDevelopment global project, which document real use – case examples of how Data Science and AI are being used to take forward Sustainable Development work across the globe.

Read here: LinkedIn Link

2. Purpose of the Webinar:

• Clarify the link between Data Science, AI, and Sustainable Development.
• Present actionable ASEAN-relevant use cases.
• Address governance, ethics, and responsible AI.
• Position youth as solution designers, not passive consumers.
• Introduce the June 2026 Hybrid Event (Malaysia) and August 2026 Regional Programme.

3. Core Themes:

• The Big Picture: Data as infrastructure for modern governance.
• Climate, Health & Disaster Applications of AI and Data Science.
• Frontier Technologies Beyond AI: IoT, UAVs, Blockchain, Geospatial Intelligence.
• Risks & Ethics: Bias, data governance, regulatory gaps, responsible innovation.

4. Expected Outcomes:

• Strategic understanding of AI & Data Science for sustainable development.
• Awareness of real-world implementation models.
• Clarity on ethical and governance considerations.
• Clear pathway toward deeper regional collaboration and programme participation.