About this workstream

This Phase 2 workstream consisted of two roundtable discussions exploring how infrastructure and geohazard data (as well as other data) can help support internet resilience in Aotearoa in the context of climate change.

Having consistent, available, interoperable data about New Zealand’s internet infrastructure and the climate hazards that may impact it can support decision-making about vulnerabilities, future investment and critical interdependencies (e.g. with electricity infrastructure).

In this phase, the focus will be on hearing from people about their:

• experiences of data how it has helped (or hindered) internet infrastructure resilience, and
• visions for how the collection, sharing and use of this data might look in the future.

Participation in the data roundtables

We welcomed all members of the IICR Network to attend these round table sessions. We especially encouraged participation from people and organisations that collect, manage or use geohazard and/or infrastructure data in their day-to-day work.

A range of views were represented, including:

• data producing organisations (including geohazard and infrastructure)
• community organisations and perspectives
• the telco sector
• people who rely on data to understand and design infrastructure networks.

End of Phase 2 progress update: November 2025

Over two roundtable sessions, we aimed to build a shared understanding of the current and potential future state for how geohazard and infrastructure data can support Internet infrastructure climate resilience.

What is the future we’re working towards

From the two roundtables, we propose that a future state for data to support resilience would include:

• Up-to-date maps to inform decision-making about communications infrastructure resilience. These would show telco infrastructure assets, other dependencies (e.g. roads, electricity), and hazards that may affect it.
• Interpretive layers for different audiences (e.g. communities, telcos, network engineers) and automated access controls for different types of data.
• Supporting structures like strong organisational relationships, data standards, funding/business models for collecting, maintaining and interpreting data for the public good, and appropriate regulation/mandates.