SOURCE-LINKED INTELLIGENCE
Next Generation AI Researchers for Air Quality Excellence
phical and cross-sectoral circulation of European R&I talents in the field of air quality monitoring, actively involving environmental scientists, experts in hardware and Internet of Things (IoT) and machine learning engineers. The project is centred around a cross-sectoral and cross-country approach, with a strong focus on Widening countries. The training methodology, including 40 planned secondments and numerous collaboration activities, such as buddy systems, workshops, hackathons and ongoing assessment, is expected to drive sensor development and environment-related public health findings. The project is made up of 16 partners forming a highly interdisciplinary consortium with numerous SME-sized hardware producers. From a scientific perspective, air quality monitoring through low-cost sensorics and artificial intelligence is at the project's core. However, NextAIRE will use these topics to provide R&I talents hands-on experiences to increase their research, entrepreneurial and other transferable skills, strengthening the R&I human capital base and improving the excellence of th
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2998872.5
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.