Each morning of the ELLIS Unit Jena Summer School, renowned researchers will provide valuable insights through keynote lectures addressing four thematic areas: Interpretable, Hybrid, Large-Scale, and Robust Machine Learning in Environmental Sciences. Kicking off the theme of Interpretable Machine Learning are Ribana Roscher from the University of Bonn and Maike Sonnewald from the University of California, Davis. In the field of Hybrid Approaches, Gustau Camps-Valls from the University of Valencia and Niklas Boers from the Technical University of Munich will share their latest findings. The Large-Scale dimension will be explored by Koreen Millard (Carleton University, Canada) and Frederik Kratzert (Google, Austria). Representing the Robust Machine Learning theme are Jonas Peters from ETH Zurich and Marc Rußwurm from Wageningen University. The Summer School will conclude with a Capstone Talk by Susan E. Trumbore from the Max Planck Institute for Biogeochemistry, offering cross-cutting perspectives and encouraging reflection.