Theme

Knowledge Base | Published: 17 May 2026

File Type:External link

Target Audience:City Managers

MOOC: Mastering Digital Twins

Organised by the European Institute of Innovation and Technology (EIT), this course introduces the fundamentals of Digital Twins and explains how they represent an integrated concept for product-relat...

Theme:

Local Digital Twins Citizen engagement Data Governance & Management

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Knowledge Base | Published: 17 May 2026

File Type:External link

Target Audience:Policy Makers

MOOC: Unlocking the potential of Digital Twins for sustainable on-demand urban logistics

LEAD is launching its MOOC, open to all those interested, with the goal of “Unlocking the potential of Digital Twins for sustainable on-demand urban logistics”.It builds upon the results of the projec...

Theme:

Artificial Intelligence Local Digital Twins

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Knowledge Base | Published: 17 May 2026

File Type:External link

Target Audience:Urban Planners

Article: Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona’s Traffic with Empirical Data

Argota Sánchez-Vaquerizo, J. (2022). Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona’s Traffic with Empirical Data. ISPRS International Journal of Geo-In...

Theme:

Artificial Intelligence Local Digital Twins Data Governance & Management

Event | Published: 17 May 2026

Organiser:Go Li.EU

Event Type:Online event

Living-in.EU Supporters Meeting

The Living-in.EU Initiative would like to invite its supporters to review the developments of 2024. The partners of the initiative will provide an update of past year's activities and offer the opport...

Theme:

Artificial Intelligence Data Spaces Local Digital Twins

Event | Published: 17 May 2026

Organiser:EU support services

Location:Germany

Event Type:Online Training

Training: Increasing Digitalisation Awareness and Readiness of German Communities

The European Commission recently launched an initiative to increase digitalisation awareness and readiness of EU communities, which aims to support all cities and regions that are in their digital tra...

Theme:

LORDIMAS Local Digital Twins Digitalisation roadmaps and strategies

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Knowledge Base | Published: 17 May 2026

File Type:External link

Target Audience:Urban Planners

Digital Twins in the Intelligent Transport Systems

Rudskoy, Andrey & Ilin, Igor & Prokhorov, Andrey. (2021). Digital Twins in the Intelligent Transport Systems. Transportation Research Procedia. 54. 927-935. 10.1016/j.trpro.2021.02.152. T...

Theme:

Artificial Intelligence Local Digital Twins

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Knowledge Base | Published: 17 May 2026

File Type:Video

Target Audience:City Managers

Digital twins - course introduction

In this course, learners will be introduced to the concept of Digital Twins, learn how it is applied in manufacturing, and what businesses should consider as they decide to implement this technology. ...

Theme:

Artificial Intelligence Local Digital Twins

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Knowledge Base | Published: 17 May 2026

File Type:Video

Digital Twins - Are they ready to embrace the benefits of Location Information?

Digital twins are virtual replicas of physical objects or systems that are used to better understand, predict, and optimize the performance of their counterpart in the physical world. They are built b...

Theme:

Artificial Intelligence Local Digital Twins

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Knowledge Base | Published: 17 May 2026

File Type:Video

Digital Twin : A Comprehensive Overview

This course titled “Digital Twin : A Comprehensive Overview” is designed to provide naive learners to understand the basics of Digital Twin so they can get into either technical or functional nitty gr...

Theme:

Local Digital Twins Artificial Intelligence

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Knowledge Base | Published: 17 May 2026

File Type:Video

Demystifying digital twin, future technologies series

Digital twin technology may be most commonly thought of in its building visualization form. Moreover, the impression is often that it is exclusive to new, high-end development projects. This session p...

Theme:

Artificial Intelligence Local Digital Twins