• European Network on New Sensing Technologies for Air-Pollution Control and Environmental Sustainability - EuNetAir (completed)
  • We participated in the 1st intercomparison exercise for air quality sensors in the frame of the EuNetAir COST action, Aveiro, Portugal, October 2014.
• European network for the promotion of portable, affordable and simple analytical platforms - PortASAP (running)
• Special Issue "Sensors for Air Quality Assessment", Atmosphere Journal, MDPI. Submission deadline: 31 January 2019. Guest Editors: Ole Hertel, Andreas Schütze, Kostas Karatzas.
• ICE-AQ
  • Investigation, testing and extending the fusion approach to include Computational Intelligence algorithms (indicatively Artificial Neural Networks) and Employing computational intelligence methods for analyzing, modelling and improving the performance of low cost Air Quality microsensors . This is a collaboration with the Finnish Meteorological Institute for supporting their research activities in the frame of the FMI-ENFUSER project (responsible Ari Karppinen)

Innovative air quality monitoring and forecasting system - KASTOM (07/2018-06/2021)

KASTOM is an Innovative system for air quality monitoring and forecasting. The KASTOM project combines a new estimation of natural and anthropogenic emissions with the WRF meteorological model and the CAMx photochemistry model to produce air pollution estimations of high quality. In parallel, it installs a new low cost network of air pollution monitoring nodes in Thessaloniki and Heraklion and it evaluates and verifies its measurements via field trials and laboratory procedures. KASTOM then fuses all available information via Computational Intelligence methods, thus producing high quality air pollution which are made available via an appropriate informatics platform and a set of software services.

URwatair: a citizen science project tackling air pollution and rainwater management problems in the urban area of Thessaloniki. Focusing on air pollution, we have been running a number of training and hands-on workshop with citizens. Participants are introduced to the basics of air quality science and are then provided with a low cost AQ sensor as well as guidelines of use, to access the quality of breathed air, based on their selection among four scenarios named: (a)cooking activities, (b) my living room, (c) my neighborhood, (d) commuting in the city. We then process the collected data with the aid of citizens who are also involved in drawing conclusions concerning activities that pollute or activities that can help them avoid polluting as well as avoid pollution. A number of interesting results have been drawn so far, among which the fact that one of the participating citizens noticed high concentration of PM10 (and PM2.5) particulate matter during the new year in his neighbourhood, and he asked if such data suggest an influence from new year's eve fireworks (reference). The comparison of citizen observations with other available data, support this finding!