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The focus period resulted in new collaborations for the climate

The focus period resulted in new collaborations for the climate

by Simon Höckerbo | Nov 21, 2024 | LiU 2024 Stories, News

In the fall of 2024, researchers from around the world once again gathered at Linköping University for ELLIIT’s five-week focus period. This time, the goal was to initiate and deepen collaborations in climate research using machine learning. The strategic...
Meet the Recruited Faculty – Susanna Rezende

Meet the Recruited Faculty – Susanna Rezende

by Simon Höckerbo | Oct 28, 2024 | Meet the recruited faculty, News

Recently appointed as a Wallenberg Academy Fellow 2023, Susanna Rezende is organizing a research school on complexity theory and starting new collaborations across her field. We spoke with her about her research and ambitions, as she aims to foster more...
Symposium Aiming to Improve the Climate

Symposium Aiming to Improve the Climate

by Simon Höckerbo | Oct 14, 2024 | LiU 2024 Stories, News

In the fall of 2024, Linköping University once again hosted ELLIIT’s five-week-long focus period. This ambitious guest researcher program aimed for greater breadth in interdisciplinarity this year, with the theme of machine learning for climate science. The...
Call for ELLIIT Focus period proposals 2026

Call for ELLIIT Focus period proposals 2026

by Simon Höckerbo | Sep 30, 2024 | Closed calls and positions, News

ELLIIT is now inviting proposals by potential organizers willing to host focus periods in the spring or autumn of 2026. The ELLIIT focus period program is an ambitious guest and exchange program for international top-level researchers. The objective is to create...
New article about machine learning for climate science

New article about machine learning for climate science

by Simon Höckerbo | Sep 23, 2024 | LiU 2024 Stories, News

Linköping University has published an article about ELLIIT’s upcoming focus period. Representatives from ELLIIT, Michael Felsberg, Fredrik Lindsten, and Tove Kvarnström, were interviewed for the article regarding the topic of machine learning for climate...
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