What can we do about pollution? It’s such a large issue that we often feel disempowered because it seems like nothing any of us does on our own will have any effect.
WearAQ is a project that look at how school children could make sense of these complex issues and to consider how people might combine their innate subjective perception and intuition with wearable technology and machine learning algorithms to investigate air quality issues.
We worked with students at the Marner Primary school in Tower Hamlets London to go out into the surrounding neighbourhood, measure air quality both technologically and through their own perceptions, and recorded their subjective experience using low tech wearable devices that catalogued their gestures. This data was compared with measurements from expensive, highly callibrated pollution monitoring equipment and other data like temperature, wind and humidity to look at correlations and contrasts.