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  • PRISMA Supports Initiatives that advance EU Climate Neutrality Modelling

    REMIND-MAgPIE workshop by Potsdam Institute for Climate Impact Research (PIK)

    • Date: June 16th to 19th (Workshop), June 17th & 18th (Stories side-event)
    • Location: Potsdam Institute for Climate Impact Research (PIK), Potsdam, Germany
    • Format: Hybrid (In-person and Online)
    • Registration Deadlines: May 31st (Workshop), May 17th (Stories submissions)

    The first joint REMIND-MAgPIE Workshop will be hosted from June 16th to 19th 2026 on the Telegrafenberg at the Potsdam Institute for Climate Impact Research in a hybrid format, combining in-person and online participation.

    The first three days will provide an overview over the (open source) integrated assessment models REMIND & MAgPIE and give insights into the code and the underlying MADRaT data processing framework, with deeper dives into the models happening in two parallel tracks. Additionally, current users and developers two Stories sessions on June 17th and 18th will present their latest advancements and projects related to the models. The fourth day will then focus on the REMIND-MAgPIE coupling.

    Workshop Highlights:

    • Introduction to MAgPIE Land Use Model, the REMIND Energy-Economy Model, and MADRaT Data Processing Framework
    • MAgPIE & REMIND Stories Sessions: Insights from Model Users and Developers
    • Insights into the REMIND-MAgPIE coupling

    Useful links:   

    • REMIND-MAgPIE26 Workshop website: https://magpiemodel.github.io/workshops/remind-magpie26
    • REMIND & MAgPIE26 Stories call for contributions: https://magpiemodel.github.io/workshops/remind-magpie26/call.html
    • GitHub links: https://github.com/remindmodel/remind and https://github.com/magpiemodel/magpie

    PRISMA is proud to support the community of researchers whose work is shaping Europe’s path to climate neutrality.

Funded by the European Union

This project has received funding from the European Union’s Horizon Europe research and innovation
programme under grant agreement No. 101081604

Swiss Partner

This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI)

UK Partner

This work was funded by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (No. 10062835 – Cambridge University)

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Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them.

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