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COGITO Consortium

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“Digital Twin for the Construction Phase” workshop 16:30 – 18:30, 30th September, hybrid

This 120-minute hybrid workshop will consist of several presentations on the chosen topic, specifically the challenges recognized by 4 EU projects: COGITO, BIMprove, BIM2TWIN and ASHVIN. Additionally, a small-scale sensor technology called SEMS (Simplified Emissions Measurement System) capable of rapidly measuring emission data will be presented by Professor Jochen Teizer from Aarhus University, Denmark. Overall challenges to be addressed during the […]

What are the Living Labs in COGITO project?

In COGITO, the establishment of the Living Labs took place in January 2021. The aim of this activity is to collect important feedback from COGITO’s stakeholders located close to the pilot sites (Denmark and Spain). This way, COGITO aims to improve the design and development of the project’s toolbox, promote the outcomes and engage target […]

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📅It's today at 11.00❗️Linked Data, Ontologies, #BIM, Building #DigitalTwins for the #Construction and Maintenance industry, #Buildings - on these topics we are going to discuss with 10 #EU projects👏 at Side Events via @LIST_Luxembourg❗️❗️❗️

Last but not least❗️Presentation by Jochen Teizer from @AarhusUni on “Digital Twin to Minimize Equipment Emissions in Construction Site Operations”😃Starting Q&A session now👍

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Our partners

CERTH - The Information Technologies InstituteCERTH - The Information Technologies Institute
Ferrovial ConstructionFerrovial Construction
QUE TechnologiesQUE Technologies
Olympia OdosOlympia Odos
University College London (UCL)University College London (UCL)
The University of EdinburghThe University of Edinburgh
The Universidad Politécnica de Madrid (UPM)The Universidad Politécnica de Madrid (UPM)
Aarhus UniversityAarhus University
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COGITO - materialising the digitalisation benefits for the construction industry to unleash the untapped potential in productivity improvement and increased safety.



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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 958310