Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Copernicus Foundation Models for a Thinking Earth

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.

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-RIA - HORIZON Research and Innovation Actions

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EUSPA-2022-SPACE

See all projects funded under this call

Coordinator

ETHNIKO ASTEROSKOPEIO ATHINON
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 264 375,00
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 264 375,00

Participants (12)

My booklet 0 0