Eurach Research

interTwin

An interdisciplinary Digital Twin Engine for Science

    Project funded by

    This project is funded by the European Union under Horizon Europe research and innovation programm

     interTwin co-designs and implements the prototype of an interdisciplinary Digital Twin Engine (DTE), an open source platform that provides generic and tailored software components for modelling and simulation to integrate application-specific Digital Twins (DTs). Its specifications and implementation are based on a co-designed conceptual model - the DTE blueprint architecture - guided by the principles of open standards and interoperability. The ambition is to develop a common approach to the implementation of DTs that is applicable across the whole spectrum of scientific disciplines and beyond to facilitate developments and collaboration.

    Co-design involves DT use cases for High energy physics, Radio astronomy, Astroparticle physics, Climate research, and Environmental monitoring, whose complex requirements are expected to significantly advance the state of the art of modelling and simulation using heterogeneous distributed digital infrastructures, advanced workflow composition, real-time data management and processing, quality and uncertainty tracing of models, data fusion and analytics. As a result, a consolidation of software technologies supporting research will emerge.

    The validation of the technology with multiple infrastructure facilities, will boost the accessibility of users to technological capacity and the support of AI uptake in research. interTwin builds on the capacities of experts from pan-European research infrastructures and the long tail of science, an Open Source Community of technology providers that will deliver TRL 6/7 capabilities to implement the interdisciplinary DTE, experts of the European Centre of Excellence in Exascale Computing, and infrastructure providers from the EGI Federation, PRACE and EuroHPC supporting data and compute intensive science. interTwin key exploitable results will be continually co-developed and aligned with the contribution of external initiatives such as Destination Earth, EOSC, EuroGEO and EU data spaces.

    Contact person: alexander.jacob@eurac.edu

    Lead partner

    Publications
    A Hybrid Surrogate Deep Learning Model for Actual Evapotranspiration Prediction
    Aieb A, Jacob A, Liotta A, Liaqat MU (2024)
    Conference proceedings article

    Conference: The International Conference on Intelligent Data Science Technologies and Applications | Dubrovnik | 24.9.2024 - 27.9.2024

    More information: https://idsta-conference.org/2024/papers/1898.pdf

    A Hybrid Surrogate Deep Learning Model for Actual Evapotranspiration Prediction
    Aieb A, Jacob A, Liotta A, Liaqat MU (2024)
    Presentation/Speech

    Conference: IEEE IDSTA2024 | Dubrovnik | 24.9.2024 - 27.9.2024

    Seasonal forecasts of hydrological droughts over the Alps: advancing hybrid modelling applications
    Ferrario IF, Castelli M, Hussein AM, Liaqat UM, Weerts A, Jacob A (2024)
    Presentation/Speech

    Conference: EGU 2024 | Vienna | 14.4.2024 - 19.4.2024

    openEO API: An introduction to EO cloud computing and applications
    Jacob A, Mohr M, Claus M, Campalani P (2023)
    Presentation/Speech

    Conference: 2023 Taiwan Society for Geographic Information Annual Conference and Symposium | Tainan City | 29.6.2023 - 30.6.2023

    From monitoring to understanding: Towards a digital twin for hydrological drought prediction
    Castelli M, Claus M, Crespi A, Bartkowiak P, Jacob A (2023)
    Presentation/Speech

    Conference: EODC Forum 2023 | Vienna | 9.5.2023 - 10.5.2023

    More information: www.eodc.eu/forum2023

    Development of drought early warning system for the Alps
    Liaqat MU, Alasawedah MH, Weerts A, Crespi A, Dhinakaran S, Jacob A, Castelli M (2023)
    Conference proceedings article

    Conference: Big Data from Space | Vienna | 6.11.2023 - 9.11.2023

    More information: https://publications.jrc.ec.europa.eu/repository/handle/JRC1 ...

    https://doi.org/10.2760/46796

    Development of drought early warning system for the Alps
    Liaqat MU, Alasawedah MH, Weerts A, Crespi A, Dhinakaran S, Jacob A, Castelli M (2023)
    Presentation/Speech

    Conference: Big Data from Space | Vienna | 6.11.2023 - 9.11.2023

    Project Partners

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