The Earth Sciences Working Group investigates how AI can improve our understanding of Earth’s complex systems and support evidence-based responses to climate and environmental challenges.
The group covers climate science, Earth observation, agriculture, biodiversity, ecosystems, water resources and urban environments. It promotes collaboration between Earth scientists, AI researchers and infrastructure providers to develop trustworthy AI solutions that integrate diverse environmental datasets, improve predictive modelling and strengthen Europe’s leadership in climate resilience and sustainable resource management.
Developing robust models for climate forecasting, environmental monitoring and risk assessment.
Exploring methods for combining satellite, sensor and in situ observations.
Applying AI to agriculture, biodiversity conservation and ecosystem monitoring.
Ensuring interpretability and scientific confidence in environmental decision support.
This discussion space connects researchers working on AI applications across the Earth sciences.
Members can exchange datasets, methods, infrastructure developments and research priorities while fostering interdisciplinary collaboration on climate and environmental challenges.
Selected experts contributing to the AI in Science Working Groups
Each Working Group brings together a selected group of experts contributing to the co-creation of the AI in Science Strategic Research and Innovation Agenda (SRIA). Members were appointed through an open call for expression of interest based on their expertise, experience, and ability to contribute to interdisciplinary collaboration across AI and scientific research domains.
Working Group Co-Chair
UT-ITC
Netherlands
Wageningen University & Research
Netherlands
EUMETSAT
Germany
ECMWF
Germany
Finnish Environment Institute (Syke)
Finland
University of Leeds
United Kingdom
University of Göttingen
Germany
Helmholtz Centre for Environmental Research, UFZ
Germany
KU Leuven
Belgium
Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
Germany
CSC, IT center for science
Finland
University of Tartu (Estonia); University of Aberdeen (UK)
Estonia
Leibniz Centre for Agricultural Landscape Research (ZALF)
Germany
eScience Center
Netherlands
CNRS
France
Euro Mediterranean Center on Climate Change
Italy
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Materials Science”, supporting the identification of strategic priorities for RAISE.
SCIANCE is gathering evidence on scientific challenges, AI capabilities, infrastructures and emerging practices in “AI in Earth Sciences”, supporting the identification of strategic priorities for RAISE.