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This funding call aims to develop innovative and advanced systems for monitoring and modeling air quality to support revised EU policies under the Ambient Air Quality Directive. The initiative aligns with the European Green Deal and zero pollution objectives by fostering solutions that improve air quality monitoring accuracy, enhance data comparability, and provide real-time assessments of air pollution. Proposals are expected to focus on innovative, cost-effective approaches to monitor and model both regulated and emerging pollutants, leveraging technologies like AI, low-cost sensors, and satellite data. Applicants are encouraged to collaborate with existing projects, initiatives, and communities to maximize impact and avoid duplications. Results are intended to aid public authorities, researchers, NGOs, and citizens by delivering actionable data, fostering healthier behaviors, and supporting evidence-based policymaking.
Opening: 06-05-2025
Deadline(s): 17-09-2025
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
• Enhanced solutions for detecting, monitoring, and assessing air pollution.
• Improved air quality data supporting science-based decision-making and policy development.
• Increased public awareness and better access to accurate air quality information.
• Contribution to achieving the zero pollution objective for cleaner air.
Scope
• Develop cost-effective tools and methods for monitoring and modeling air pollutants.
• Provide recommendations for designing optimal monitoring networks, combining innovative technologies and traditional methods.
• Improve the integration of in-situ, satellite, and remote sensing data with numerical models using advanced techniques like AI.
• Build on and cooperate with existing research projects, communities, and ESA initiatives to enhance coordination.