META Podcast

What future policies could learn from today's models - Locomotion series

25 min · 6 feb 202325 min
aflevering What future policies could learn from today's models - Locomotion series cover

Beschrijving

In this episode of the META Podcast, Marie-Amélie talks with Professor Harald Ulrik Sverdrup, who has previously been leading the research group on the application of System Dynamics to the analysis of extraction and exploitation of mineral resources at Industrial Engineering, University of Iceland, to understand how models like WILIAM [https://meta.eeb.org/2022/05/30/modelling-for-just-and-net-zero-europe/] are created to help us find our way through, resembling how the world operates across space and time. In theory, such models can help us make better choices or prepare better for what comes next. The reality is more puzzling. Can we trust a model to tell us something inherently unknown? And what if the model we have trusted to guide misses a decisive point? We need to understand how integrated models work, what they can do, and their limits to make the most out of them.  Read more [https://meta.eeb.org/?p=15019] More about the LOCOMOTION project [https://www.locomotion-h2020.eu/]

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aflevering What future policies could learn from today's models - Locomotion series artwork

What future policies could learn from today's models - Locomotion series

In this episode of the META Podcast, Marie-Amélie talks with Professor Harald Ulrik Sverdrup, who has previously been leading the research group on the application of System Dynamics to the analysis of extraction and exploitation of mineral resources at Industrial Engineering, University of Iceland, to understand how models like WILIAM [https://meta.eeb.org/2022/05/30/modelling-for-just-and-net-zero-europe/] are created to help us find our way through, resembling how the world operates across space and time. In theory, such models can help us make better choices or prepare better for what comes next. The reality is more puzzling. Can we trust a model to tell us something inherently unknown? And what if the model we have trusted to guide misses a decisive point? We need to understand how integrated models work, what they can do, and their limits to make the most out of them.  Read more [https://meta.eeb.org/?p=15019] More about the LOCOMOTION project [https://www.locomotion-h2020.eu/]

6 feb 202325 min