Project description
Using AI to solve Earth system science problems
Earth is frequently seen as a complex, interconnected system. By utilising AI techniques like deep learning, causality, explainable AI and physics-aware machine learning, and leveraging the predictive abilities of self-supervised learning and graph neural networks, the EU-funded ThinkingEarth project aims to develop task-agnostic Copernicus foundation models and a graph representation model of Earth. It will demonstrate the value of these assets through small-scale downstream applications and large-scale use cases that integrate Copernicus with non-EO industrial and user data sets. The use cases will address issues of high socio-environmental impact and new business growth opportunities. Examples include accelerating Europe's energy neutrality by creating smart grid value chains, assessing the impact of climate emergency in biodiversity and food security, and understanding Earth system teleconnections with causality.
Objective
At ThinkingEarth, we view the Earth as a complex unified and interconnected system. To harness the power of Artificial Intelligence (AI), we use cutting-edge techniques, including deep learning, causality, eXplainable AI, and physics-aware Machine Learning. We leverage the predictive abilities of Self-Supervised Learning and Graph Neural Networks to develop task-agnostic Copernicus Foundation Models and a Graph representation model of the Earth. We demonstrate the potential of these assets through small-scale downstream Spotlight Applications, as well as large-scale use cases that integrate distributed industrial and user non-EO datasets. These use cases address ambitious problems with high socio-environmental impact and new business growth opportunities, such as accelerating Europe's clean energy transition and independence from volatile fossil fuels, understanding Earth's processes by modeling causal Earth system teleconnections, and assessing and modeling the impact of current and future Climate emergency in biodiversity and food security.
Fields of science
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesearth and related environmental sciencesatmospheric sciencesmeteorologysolar radiation
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencesbiological sciencesbiodiversity conservation
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Keywords
Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
11810 Athina
Greece