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 COMPAIR and two other exemplary EU Horizon projects - 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 citizen science.
📅 5 September 2024
🕚 11:00-12:30 CET
Talks & Speakers:
Local source detection using mobile “low-cost” particle matter (PM) sensors. Bram Verbeek (COMPAIR & VMM) Highlighting the Winter Woodburn Walks trial within the COMPAIR project, this talk will explore how mobile field “low-cost” particle matter (PM) sensors are used by citizen scientists to detect local pollution sources and the advanced data analysis techniques employed within COMPAIR.
Metrology, the science of measurement, how does it relate to citizen science? Gertjan Kok (FunSNM & VSL) As part of the FunSNM project, this talk will delve into the role of metrology, the science of measurement, in the context of citizen science, focusing on the integration of standardised measurement practices into public-driven air quality monitoring.
Addressing the challenges of citizen science air quality measurements in the SOCIO-BEE project. Sergi Udina (SOCIO-BEE & Bettair Cities)Addressing the challenges of achieving extreme sensor accuracy in air quality measurements, this talk will cover the tools, protocols, and methods of validation and tracabilities used in the SOCIO-BEE project as possible paths to standardisation.