The growth of the urban population together with a high concentration of air pollution have important health impacts on citizens who are exposed to them, causing serious risks of the development and evolution of different chronic diseases. This paper presents the design and development of a novel participatory citizen science-based application and data ecosystem model. These developments are imperative and scientifically designed to gather and process perceptual sensing of urban, environmental, and health data. This data acquisition approach allows citizens to gather and generate environment- and health-related data through mobile devices. The sum of all citizens’ data will continuously enrich and increase the volumes of data coming from the city sensors and sources across geographical locations. These scientifically generated data, coupled with data from the city sensors and sources, will enable specialized predictive analytic solutions to empower citizens with urban, environmental, and health recommendations, while enabling new data-driven policies. Although it is difficult for citizens to relate their personal behaviour to large-scale problems such as climate change, pollution, or public health, the developed ecosystem provides the necessary tools to enable a greener and healthier lifestyle, improve quality of life, and contribute towards a more sustainable local environment.

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The present work seizes the opportunity to counter IoT technology fragmentation that the World Wide Web Consortium is offering with the upcoming standard Web Of Things. A gateway service based on this standard and an air quality manager sensor were designed and implemented in a Smart Home with the aim to develop a tool to manage this critical parameter and improve people´s quality of life. The system proved to be able to report and manage the Smart Home devices to reduce Fine Particulate Matter concentration on demand and in real time, also allowing to record data to be consulted by the Smart Home users. The technology produced is agnostic, scalable and replicable in other environments and contexts such as industry, healthcare and Smart Cities among others.

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