Quantifying the benefits of the National Digital Twin programme’s Climate Resilience Demonstrator (CReDo) – tender open

Digital Twin Hub > Articles & Publications > Quantifying the benefits of the National Digital Twin programme’s Climate Resilience Demonstrator (CReDo) – tender open

Produce a benefits report and valuation for the National Digital Twin Climate Resilience Demonstrator (CReDo)

In brief

Calling valuation experts who like a challenge. How would you value data and resilience? Help us assess and quantify the benefits of CReDo and articulate the direct and indirect benefits of a CReDo-type approach to climate adaptation. Access the tender documents here: University of Cambridge Electronic Tendering Site – Project Manage – Tender (in-tendhost.co.uk)

Register interest through the link by 14 December and submit proposals by 4 January.

Background

The Credo project started in April 2021 and is funded by UKRI until 31 March 2022. The benefits assessment covers both this period and the future value of Credo if it is continued and scaled up over the coming years. The scaling up aspect of Credo as part of the National Digital Twin should relate to the benefits realisation framework work being carried out by consultants appointed by the National Digital Twin programme under a separate contract also due to complete by 31 March 2022.

Tender outline

The benefits assessment should assess the value of the minimum viable product developed by the Credo technical team and the value of the findings and lessons learnt generated by Credo for the period April 2021 to March 2022 for both the participating asset owners and the wider DT Hub community. The benefits assessment should also explore the benefits of applying the IMF approach in this initial phase of Credo and in future phases of Credo, in terms of enabling asset owners to improve their levels of information management and in terms of developing a scalable, replicable approach to connected datasets and digital twins. Credo is developing future best practice in connecting datasets and digital twins and the valuation should seek to quantify the value of this future best practice.

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