MURAL - Maynooth University Research Archive Library



    Digital Twins for Stakeholder and Community Engagement (DT4E): an ADAPT-DCC Collaboration


    Dhingra, Mani and Kerr, Aphra and Kocon, Aleksandra and Cudden, Jamie (2023) Digital Twins for Stakeholder and Community Engagement (DT4E): an ADAPT-DCC Collaboration. In: The second ADAPT Annual Scientific Conference, 2023.

    [img]
    Preview
    Download (770kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    The ADAPT centre at Maynooth University and smart cities unit of Dublin City Council (DCC) are collaborating on a 2-year targeted project to enable the development of a Digital Twin ecosystem and facilitate its application for stakeholder and community engagement. DCC has been experimenting with state-of-the-art technologies such as drones and LIDAR across various thematic challenges such as energy consumption, urban planning, public engagement, environment, tourism, and infrastructure management. Advancing towards a more sophisticated system, the DT4E project intends to apply a people-centric approach for effective stakeholder collaboration and explore novel forms of community engagement.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Digital Twins; Stakeholder and Community Engagement; DT4E; ADAPT-DCC Collaboration;
    Academic Unit: Faculty of Social Sciences > Sociology
    Item ID: 18181
    Depositing User: Mani Dhingra
    Date Deposited: 20 Feb 2024 11:53
    Refereed: No
    Funders: Science Foundation Ireland at ADAPT, the SFI Research Centre for AI-Driven Digital Content Technology at Maynooth University [13/RC/2106_P2], and Dublin City Counci
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads