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Air quality sensors generate large amounts of environmental data, but a sensor number is not yet information. How can we turn it into something people can understand and act on?
On 22 September 2026 we joined the 5th workshop of the Next-Gen Mentoring series of NextAIRE, a Horizon Europe project (HORIZON-WIDERA 101217310) coordinated by the Institute for Anthropological Research in Zagreb. The series is organised with the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT).
The session looked at how AI can turn indoor and outdoor air quality data into clear, actionable insight for citizens, teachers, researchers and policymakers, without needing to be a data scientist.
The workshop materials are now available for anyone who missed the session or wants to revisit it:
If you already use Claude, Codex, Cursor or a similar assistant, the exercises include a drop-in skill: it turns a real environmental signal, such as local weather or an air quality reading, into plain-language guidance on what it means and what to do next, backed by a small knowledge base (WHO, WELL, GO IAQS).
Many thanks to the NextAIRE team for the invitation. More about the event on the NextAIRE website.