Conveners
Module 5 – Data Science and AI: Capabilities of Data-Driven Methods: Computational Modelling of Complex Systems
- Yannick Oswald (University of Lausanne)
Module 5 – Data Science and AI: Capabilities of Data-Driven Methods: Agent Based Modelling
- Joel Foramitti (Helmholtz-Centre for Environmental Research (UFZ))
Module 5 – Data Science and AI: Capabilities of Data-Driven Methods: Discussion M4
- There are no conveners in this block
Description
We explore the role of data science, AI, and big data in supporting integrated socio-ecological modeling. The session will cover data availability, methodological innovations, and computational tools for enhancing model interoperability, scenario analysis, and interdisciplinary collaboration.
tba, How and which data science can help us enhancing model interoperability, scenario analysis, and interdisciplinary collaboration?
Please edit the title and abstract by November 20th 2025.
Presentation 20 min
+
Q&A 5 min
If possible, please upload your presentation and up to two relevant relating research papers.
tba, How can agent based modelling contribute to enhancing model interoperability, scenario analysis, and interdisciplinary collaboration?
Please edit the title and abstract by November 20th 2025.
Presentation 20 min
+
Q&A 5 min
If possible, please upload your presentation and up to two relevant relating research papers.
