In the context of the active use of ML/AI for Earth system science, many conceptual, technical, educational, and cultural challenges remain, as well as emerging approaches and opportunities to address ...

The concept of a digital twin of Earth envisages the convergence of Big Earth Data with physics-based models in an interactive computational framework that enables monitoring and prediction of ...

Environmental science is an interdisciplinary academic field that integrates physical and life sciences (including physics, chemistry, biology, ecology, soil science, geology, and geography) to the ...

Earth and Space Science Informatics brings together data-intensive methods, computational platforms and domain expertise to analyse, visualise and model phenomena ranging from planetary interiors and ...

Saint Louis University’s Department of Earth, Environmental and Geospatial Science combines strong classroom and field-based instruction with internationally recognized research. The department offers ...

Scottish Water has announced the expansion of its Water Cycle Workshop across science centres in Scotland, including Edinburgh’s Dynamic Earth, as part of its Generation H2O education programme. After ...

Machine learning and artificial intelligence (ML/AI) techniques have advanced considerably across many domains and applications in recent years, and the field of Earth system science is increasingly ...