ELLIS Unit Jena Exhibition

When Machines Learn for Nature: AI Research on Climate and Biodiversity

Human activities have significantly disrupted Earth’s natural systems, leading to profound consequences for climate, biodiversity, and human societies. AI offers powerful new ways to address these global challenges.
Visitors are invited to discover how machine learning is applied to monitor forests, assess land-use changes, and predict the impacts of extreme weather events. The exhibits highlight concrete examples of how AI helps identify endangered species, improve carbon cycle models, and guide reforestation efforts. Beyond technological innovation, the exhibition also emphasizes the importance of collaboration across disciplines — combining expertise from computer science, environmental research, and the social sciences to address global sustainability challenges. Through engaging visuals and accessible explanations, the exhibition aims to make cutting-edge AI research understandable to a broad audience and to inspire dialogue about the role of technology in shaping a sustainable future for our planet.