BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-2026//talk//BZ3EY9 BEGIN:VTIMEZONE TZID:JST BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1 TZNAME:JST TZOFFSETFROM:+0900 TZOFFSETTO:+0900 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2026-BZ3EY9@talks.osgeo.org DTSTART;TZID=JST:20260901T140000 DTEND;TZID=JST:20260901T143000 DESCRIPTION:Digital Twins are software systems that provide dynamic virtual representations of physical systems(1)\, enabling modelling and visualisa tion\, with automated data exchange and analytics being key attributes. Th ese systems are enabling the development of smart cities(2) and may also r epresent the natural environment(3–5). Common use cases for Digital Twin s are to monitor and control manufacturing lines or smart cities\, but in environmental applications they are less common. Digital Twins can be used to automate and connect computer models of the environment\, enabling on- demand simulations or ingestion of model outputs in planning.\n\nA key exa mple of an environmental Digital Twin is the the EU's “Destination Earth ” system\, which is being developed as a Digital Twin for climate servic es\, to facilitate access to weather and climate models which can be used for impact studies(6). Physics-based Digital Twins such as this will revol utionise access to and use of numerical model predictions. By connecting s ystems together through open-data and standards\, a “Digital Twin web” will be created\, powered by rapidly growing data and distributed cloud c omputing(7). Yet the development of each component remains challenging. \n \nIn this work\, we describe the development of the Environmental Digital Data Intelligence Engine (EDDIE)\, an open-source framework for creating e nvironmental Digital Twins. The concept of EDDIE is that it acts as a core engine which manages the ingestion and processing of spatial and other da ta\, provides a modularised framework for running environmental models fro m these data\, orchestrates them and ingests their results\, and provides an (optional) web-based user interface and visualisation system. EDDIE is based on APIs\, meaning that is it possible to connect two or more instanc es of EDDIE (or other Digital Twins) to share data and environmental model s. For example\, these Digital Twins can represent multiple different doma ins\, such as hazard assessment\, environmental monitoring\, and community and urban planning. Here we describe the EDDIE system and provide some ap plication examples.\n\nEDDIE and its open-source module implementations he lp developers of novel Digital Twins by providing a structure to follow\, and providing library functionality for key spatial data handling processe s. A dashboard of existing spatial data becomes trivial to setup and fetch ing and combining open data for analysis becomes simpler by following exis ting workflows and patterns.\n\nAn application using EDDIE is comprised of multiple containers working together to form a web application. Key conta iners include PostGIS\, GeoServer\, TerriaJS and the EDDIE backend and pro cessing containers. EDDIE’s Python library is used in the backend to pre pare data and keep them up to date if required. When a model scenario is r equested\, the Python library is used within domain-specific modules to ga ther and process data to generate predictive outputs. TerriaJS is the typi cal frontend for an EDDIE application\, allowing 3D visualisations as well as the ability to request model scenarios to be run. These requests use t he OGC Web Processing Service standard\, and return JSON results that are valid TerriaJS catalog items. This allows requests to use existing tooling with standardised inputs\, with results that can be used in further proce ssing scripts or can be automatically displayed on the web. The standard f ront-end for EDDIE applications is TerriaJS\, with the backend containers able to expose detailed dynamic catalogs. These catalogs can also be used by other independent Digital Twins\, enabling them to use all functionalit y available to create more powerful ecosystems of Digital Twins.\n\nEDDIE is used in active research projects for multiple distinct Digital Twins de veloped by the Geospatial Research Institute Toi Hangarau. EDDIE was born from the Flood Resilience Digital Twin (FReDT)\, focused on automated pred iction of flood risk and collation of data for impact analysis. Currently\ , FReDT allows users to select parameters relating to climate change to as sess how sea-level rise and increased storm intensity may change flood inu ndation risk. Ongoing developments are focused on working with communities to develop nature-based solutions to reduce flood impact\, while allowing them to trial many different scenarios using the web interface. The core modules were extracted from FReDT to be able to be reused to construct nov el environmental Digital Twins\, and this core has formed EDDIE. \n\nFrom there\, EDDIE was used as the basis for the Ōtākaro Digital Twin\, a pro totype environmental platform for monitoring the health of the Ōtākaro/A von River in Christchurch\, New Zealand. This Digital Twin was created in collaboration with Ngāi Tūāhuriri and Christchurch City Council. Modell ing available within the platform currently focuses on the MEDUSA 2.0 stor mwater pollutant runoff model using user-inputted rainfall event parameter s\, and potential future modelling may include linking this to rainfall ga uge telemetry.\n\nMost recently\, EDDIE was the core framework used to cre ate Te Awarua Kai Ora\, a platform for Te Awarua / Porirua Harbour. This p latform collates data from open data sources relating to the harbour\, pre sents spatial data on environmental sampling\, and allows the Porirua comm unity to understand a flow model of the harbour created at the Geospatial Research Institute Toi Hangarau in collaboration with PHF Science. People can create story maps to describe the environmental data\, as well as inte ract with overviews and detailed plots of flows within the harbour to unde rstand how the catchment\, streams\, tide and rain contribute to sedimenta tion\, flushing\, or contaminant buildup.\n\nCurrent and near-future devel opments of EDDIE include optimisations and templates for cloud deployments . Focusing on facilitating cloud deployments allows for dynamic scaling to occur\, allowing for large amounts of processing power to be accessed for only the short amount of time needed. This will be invaluable for FReDT a llowing us to run many proposed scenarios at once for communities. EDDIE w as built on a containerised architecture\, and these additional developmen ts will remove barriers to deploying new EDDIE projects.\n\nEDDIE provides a framework for building environmental Digital Twins with interoperable s tandards. This framework will help adoption of new Digital Twins and stren gthen the community ecosystem of environmental Digital Twins. This will en hance access to data and insights for communities\, for planning\, for dec ision making and for research. \n\n\n1.    Madni A\, Madni C\, Lucer o S. Leveraging Digital Twin Technology in Model-Based Systems Engineering . Systems. 2019 Jan 30\;7(1):7.\n2.    Deren L\, Wenbo Y\, Zhenfeng S. Smart city based on digital twins. Comput Urban Sci. 2021 Dec\;1(1):4.\ n3.    Blair GS. Digital twins of the natural environment. Patterns (N Y). 2021 Oct 8\;2(10):100359.\n4.    Bauer P\, Stevens B\, Hazele ger W. A digital twin of Earth for the green transition. Nat Clim Chang. 2 021 Feb\;11(2):80–3.\n5.    European Commission. Destination Earth (DestinE) [Internet]. 2022 [cited 2022 Apr 18]. Available from: https://d igital-strategy.ec.europa.eu/en/policies/destination-earth\n6.    Ho ffmann J\, Bauer P\, Sandu I\, Wedi N\, Geenen T\, Thiemert D. Destination Earth – A digital twin in support of climate services. Clim Serv. 2023 Apr\;30:100394.\n7.    Autiosalo J\, Siegel J\, Tammi K. Twinbase: O pen-Source Server Software for the Digital Twin Web. IEEE Access. 2021\;9: 140779–98. DTSTAMP:20260717T234901Z LOCATION:Cosmos1 SUMMARY:Development of an open-source analytical Digital Twin framework for environmental modelling and management - Matthew Wilson\, Luke Parkinson URL:https://talks.osgeo.org/foss4g-2026/talk/BZ3EY9/ END:VEVENT END:VCALENDAR