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AI-Powered Early Warning Systems: Building Resilient Infrastructure for All

​​​​​ITU, in collaboration with the Office of the National Broadcasting and Telecommunications Commission of Thailand (NBTC), is organizing the workshop “AI‑Powered Early Warning Systems: Building Resilient Infrastructure for All”, to support regional efforts to strengthen people-centred, inclusive and technology-enabled early warning systems. The event will be held from 1–3 December 2026 in Bangkok, Thailand.

As the Early Warnings for All initiative approaches its 2027 milestone, the workshop will enable Asia-Pacific stakeholders to assess achievements, set future technology and innovation priorities, and develop measurable regional actions for the period to 2030.​

Objectives

    • Enhance capacity on national alerting systems (Cell Broadcast, CAP) and AI applications for forecasting, anticipatory action, and resource optimization.
    • Address resilient infrastructure requirements, including data centres, cloud/edge computing, and AI-driven networks.
    • Promote infrastructure sharing models for affordable connectivity in LLDCs.
    • Foster data partnerships bridging public, private, and community sources.

​Format and Structure 


Participants will examine the integration of artificial intelligence across the early warning value cycle—from risk and vulnerability mapping to hazard forecasting, resource optimization and last–mile dissemination—and connect these applications with the institutional and technical systems required for effective warning delivery, including the Common Alerting Protocol, Cell Broadcast, resilient data centres, infrastructure sharing and cross‑sector data partnerships.

The workshop will address the integration of artificial intelligence across the early warning value cycle, including risk and vulnerability mapping, hazard forecasting, resource optimization and mapping for last–mile early warning dissemination. The workshop will connect these applications with the institutional and technical systems required for effective warning dissemination, including the Common Alerting Protocol, Cell Broadcast, resilient data centres, infrastructure sharing and cross-sector data partnerships.

Expected Results 

    • Shared understanding of AI, EWS technologies, and infrastructure requirements.
    • Identified pilot project opportunities integrating front-end and back-end solutions.
    • ​Strengthened regional network of practitioners.
    • Actionable best practices on resilient digital infrastructure.
    • Renewed commitment to EW4All goals.​​

Target Audience 


The workshop is intended for mid- to senior-level representatives of ICT Ministries, regulators, telecommunications operators, digital infrastructure providers and other relevant institutions from across the Asia-Pacific region.


Fellowships

Member States are encouraged to select their candidates taking into consideration the inclusion of persons with disabilities and persons with specific needs, bearing in mind gender balance. The duly validated fellowship request form​ (Annex 1) and its annexes, if any, must be returned to the Fellowships Service by e-mail to fellowships@itu.int or by fax: + 41 22 730 57 78, by 16 October 2026 at the latest. Registration prior to submitting the fellowship request is mandatory.


Background


The increasing frequency of natural hazards across Asia–Pacific demands the transformation of early warning systems (EWS) from reactive monitoring into proactive, intelligent systems and applications. Despite advancements, a critical gap persists between warnings and community response, costing lives and livelihoods. 

The UN Early Warnings for All (EW4All) initiative aims to protect every person by 2027 through a comprehensive EWS. Achieving this requires integrating advanced technologies, particularly AI, across all four EWS pillars: Risk Knowledge; Detection and Forecasting; Warning Dissemination; and Preparedness and Response. 

This workshop addresses the complete ecosystem, from front–end alerting technologies (Cell Broadcast and the Common Alerting Protocol) and AI applications to the back–end digital infrastructure (resilient data centres, connectivity, and infrastructure sharing) that enables them, with a special focus on Landlocked Developing Countries (LLDCs).​

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