Enhancing Air Quality Sensor Networks for citizen science. Clustering approaches by COMPAIR, FunSNM and SOCIO-BEE

Citizen science (CS) involves public participation and collaboration in scientific research to increase scientific knowledge. Despite its potential, producing CS collected data that is perceived as trustworthy enough to be published in peer-reviewed scientific journals and influence policy-making remains a challenge, in part due to issues involving data accuracy and standardisation. For example, the use of mobile field sensors in CS provides us with the opportunity to monitor air quality at a higher spatial resolution, but requires more thorough data analysis. Join us for a webinar featuring three short talks on the lessons learnt and recommendations from leading EU Horizon projects, COMPAIR, FUNsnm and SOCIO-BEE, to improve the reliability of air quality CS sensor networks. The session will conclude with a discussion among the speakers and the audience. This webinar is open to anyone interested in air quality sensor networks and CS. 

Talks & Speakers: 

- Local source detection using mobile “low-cost” particle matter (PM) sensors. Bram Verbeek (COMPAIR & VMM) 

- Metrology, the science of measurement, how does it relate to citizen science? Gertjan Kok (FunSNM & VSL) 

- Addressing the challenges of citizen science air quality measurements in the SOCIO-BEE project. Sergi Udina (SOCIO-BEE & Bettair Cities) 

 

The event is part of the SOCIO-BEE project: https://socio-bee.eu/