The environments include schools, parks and city neighbourhoods, which are instrumented using an Intel Galileo-based end-to-end Internet of Things infrastructure and informed through an ethnographic research process. Our multi-layered, people-centric approach helps us to better understand and design for a range of scenarios and use cases with communities, city officials and stakeholders to help design for the connectedness and sustainability of future cities. The low cost Intel gateways developed to connect a broad array of sensors are providing a steady stream of data which is contributing to a quantified community. Building an end-to-end solution that supports the addition of heterogenous sensors and the hooks to allow developers to build tools and services via the Mashery-based API allows us to quickly prototype applications and support interventions in the community.