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Policy Making Outputs
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DUET is developed by cities for cities. DUET’s digital twins promote data-driven decision making by building a comprehensive, virtual representation of a city's processes. With the right data points, DUET digital twins provide a business-level view that can be used to measure, analyse and predict operational impact across an entire city or region. This end-to-end, real-time, visibility enables cities to understand what is happening across its multi-disciplinary domains and services. With this knowledge, cities can react quickly to events and simulate alternative policy and operational approaches based on real data, as opposed to making assumptions based on generalized expectations.
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Results from DUET that are useful for policy making can be found below.
November 2021:
DUET Local Digital Twin Named Best Enabling Technology at World Smart City Awards
March 2022:
Policy Brief Unlocks Recommendations for Responsible Adoption of Disruptive Public Sector Technology
March 2022:
Policy Brief Unlocks Recommendations for Responsible Adoption of Disruptive Public Sector Technology
March 2022:
Policy Brief Unlocks Recommendations for Responsible Adoption of Disruptive Public Sector Technology
March 2022:
Policy Brief Unlocks Recommendations for Responsible Adoption of Disruptive Public Sector Technology
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Digital Twin Maturity Model Exploratory Phase
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The next step on the journey is the creation of digital twin capabilities around a defined use case which involves a small number of open data sets across 2 domains (e.g. transport volume and air quality). This approach allows a first foray into the world of predictive modelling, enabling the city to test interoperability.
Key enablers for this stage include digital capabilities to model and understand data, funding to enable the innovation pilot and the ability to test the digital twin play.
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Questions to address at this stage include: What outcomes/use case needs to be achieved? Is there buy-in from the relevant stakeholders from both domains? Is the data needed available? What existing analytics models can be leveraged? What contractual/legal obligations and/or restrictions are there for the data? Does the data need processing/cleaning/formatting?
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Featured Content
This peer-reviewed paper by IEEE provides a concise overview of what a local digital twin is, the importance of interoperability and how they leverage data for 'what-if' analysis.
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Useful Deliverables from DUET
Easy to understand guide on legal necessities for data-driven policy making
Interaction Frameworks (D3.4):
Models and interaction frameworks which guide the DUET simulations.
Validated future scenarios and final list of user requirements to support tech implementation.
IoT Stack and API Specs (D3.2):
Description of IoT stacks from southbound agents until northbound API.
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Other Useful Resources
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W3C: International standards organisation with a group working towards a Digital Twins Definition Language (DTDL)
OASC: Global network focused on Minimum Interoperability Standards (MIMs) for tech with geolocation basis..