  This paper presents an open platform, which collects multimodal environmental
data related to air quality from several sources including official open
sources, social media and citizens. Collecting and fusing different sources of
air quality data into a unified air quality indicator is a highly challenging
problem, leveraging recent advances in image analysis, open hardware, machine
learning and data fusion and is expected to result in increased geographical
coverage and temporal granularity of air quality data.
