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Effective environmental observing systems and associated governance

The European Commission's call aims to enhance environmental observation systems by leveraging advanced technologies and governance models. The objective is to develop more cost-effective and user-friendly observing systems for monitoring environmental parameters such as greenhouse gas emissions and ozone-depleting substances. Proposals are expected to address barriers related to the usability, accessibility, and interoperability of observing systems. Innovative tools utilizing artificial intelligence, digital twins, and IoT technologies should be developed to optimize both orbital and non-orbital environmental observing systems. The call encourages international cooperation and the inclusion of social sciences and humanities to improve governance and decision-making. Projects should be aligned with global policies such as the Paris Agreement and the Montreal Protocol.

Opening: 06-05-2025
Deadline(s): 24-09-2025

Data provided by Ghent University

This funding opportunity represents a pre-agreed draft that has not yet been officially approved by the European Commission. The final, approved version is expected to be published in the first quarter of 2025. This draft is provided for informational purposes and may be used to preliminarily form consortia and develop project ideas, but it is offered without any guarantees or warranties.

Expected Outcome

• More cost-effective and user-friendly environmental observing systems
• Improved international cooperation for global climate and environmental monitoring
• More sustainable and resilient environmental observing systems
• Support for better decision-making by various actors at national, European, and international levels

Scope

• Enhance the efficiency and cost-effectiveness of environmental observation systems
• Develop tools using AI, digital twins, IoT for optimizing environmental monitoring
• Support global environmental agreements like the Paris Agreement and Montreal Protocol
• Investigate governance and decision-making models for resilient observation systems
• Address barriers such as usability, accessibility, and interoperability of observing systems

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