NextAIRE Next Gen Mentoring How Is AI Opening Air Quality Data to Citizens

How can Artificial Intelligence transform air quality data into clear, actionable information for citizens, researchers, teachers, and policymakers? In the 5th NextAIRE Next-Gen Mentoring Workshop, Miguel Escribano from inBiot explores how AI can help bridge the gap between environmental sensor data and practical decision-making, making indoor and outdoor air quality information more accessible to non-experts. 📂 Workshop Materials: https://etfoshr-my.sharepoint.com/:f:... 💻 NextAIRE Next-Gen Mentoring GitHub Repository: https://github.com/NextAIRE-Horizon/N... During the session, the following topics are discussed: • Why a sensor reading is not yet information — and how data can be transformed into intelligence and decisions • How AI can make air quality data accessible to non-experts • Situational intelligence: combining indoor air quality, outdoor context, and recommended actions • Anne, inBiot’s virtual Indoor Air Quality consultant • Examples from inBiot’s work and European projects • Practical use of AI assistants to translate environmental signals into clear, actionable guidance