Outputs

On this page, we collect all intertwin outputs: publications, public events, audivisual materials, reports, and deliverables

Presentations

Audiovisual

Other Publications

Deliverables

Presentations

13/10/2022

interTwin: An interdisciplinary Digital Twin Engine for science– Ibergrid 2022

11/11/2022

Rucio and the interTwin project- 5th Rucio Community Workshop

17/11/2022

InterTwin: extending the technical capabilities of the EOSC with modelling and simulation tools (Digital Twin Engine) integrated with EOSC compute platform – EOSC Symposium 2022

16/12/2022

Generating Accurate Climate Model Realizations – AGU Fall Meeting 2022,

16-17/03/2023

The interTwin project – Prototyping an interdisciplinary Digital Twin Engine – 2023 CERN openlab Technical Workshop

23/03/2023

Data management for the InterTwin project – International Symposium on Grids & Clouds 2023

28/03/2023

EGI Data Transfer Activities – XRootD and FTS Workshop

19/04/2023

An interdisciplinary Digital Twin Engine for science – DIH World: DIGITAL TWINS what, how, why?

27/04/2023

EGI-ACONET Austrian Community Workshop

07/05/2023

FloodAdapt : A Community Flood Resilience Tool to Accelerate Equitable Adaptation Across the US – ASFPM2023

08/05/2023

Digital Twin Engine Infrastructure in the interTwin Project – CHEP2023

09/05/2023

interTwin session – EODC Forum 2023

21/06/2023

interTwin: Co-design and develop an interdisciplinary digital engine for Science – EGI2023

21/06/2023

AI Models as a Service with OSCAR: Integration with dCache and EGI Notebooks-EGI2023

07/08/2023

Digital Twins: introduction and use cases – CERN openlab summer student lecture programme 2023

21/09/2023

interTwin plan for integration with EOSC and synergies with other digital twins– BioDT unconference session at
EOSC Symposium 2023

27/09/2023

Enabling transparent access to hetergeneous computing providers via interLink

at IBERGRID 2023

27/09/2023

itwinAI: Empowering Scientific AI Development and Deployment

at IBERGRID 2023

27/09/2023

The interTwin Digital Twin Engine at IBERGRID 2023

27/09/2023

itwinai: Empowering Scientific AI Development and Deployment- at IBERGRID 2023

26/09/2023

Serverless Scientific Computing with OSCAR – at IBERGRID 2023

03/10/2023

interTwin – A blueprint architecture for digital twins – Digital Twin Development Session at EGW2023

04/10/2023

interTwin : an interdisciplinary Digital Twin for Particle Physics – L International Meeting on Fundamental Physics and XV CPAN days

25/10/2023

An interdisciplinary Digital Twin Engine for science – TURTLE Webinar: Interoperability architectures for Digital Twins of the Ocean

06/11/2023

Development of drought early warning system for the Alps – Big Data from Space (BiDS’23)

13/11/2023

DestinE – Connection to other digital twins

2nd Destination Earth User eXchange (11/2023)

15/11/2023

Climate Change Future Projections of Extreme Events – AI4Sustainability TEMA webinar

How can artificial intelligence be used to increase societal
resilience to climate changes and extreme natural events

Audiovisual Materials

Poster

Co-Designing & Prototyping an Interdisciplinary Digital Twin Engine, EGI2022, 20/09/2022

Poster

Poster: A Machine Learning-Powered Digital Twin For Extreme Weather Events Analysis – EGU23 General Assembly, ESSI 1.5 Session: Digital Twins of the Earth

Poster

A digital twin engine for extreme weather events analysis on climate projections in the interTwin project – EGI2023

Poster

A Digital Twin for Climate Extremes Using Artificial Intelligence – 2023 IEEE 19th International Conference on e-Science (IEEE eScience 2023)

Clip

Basic Background clip introducing the project

Poster

Digital Twins for extreme weather events analysis on climate projections –

2nd Destination Earth User eXchange (11/2023)

Other Publications

Project brandguide

interTwin brandguide

Magazine

interTwin Project Provides an Interdisciplinary Open-Source Digital Twin Engine for Science – InSiDE Magazine, p 28-29. Autumn 2022

Newsletter

interTwin, JSC Newsletter. 06/10/2022

Scientific Article

Accarino, G., Donno, D., Immorlano, F., Elia, D., & Aloisio, G. (2023). An Ensemble Machine Learning Approach for Tropical Cyclone Localization and Tracking From ERA5 Reanalysis Data. Earth and Space Science, 10. https://doi.org/10.1029/2023EA003106