Finn Müller-Hansen does research on how to apply machine learning and bibliometric analysis on the scientific literature and public as well as political discourse about energy transitions.
Machine learning to foster climate action - examples from research (EN)
Finn Müller-Hansen, Niklas Döbbeling
In this workshop, we discuss with you how machine learning approaches can foster climate action. Computational approaches help to better understand what, when and how climate policies work and how public and political debates enable or hinder their implementation. The workshop first showcases some of our research before engaging in a discussion on how to further develop methods and applications.
Digitalisation, Environmental and Climate Protection