This project aims to investigate to what extent social (big) data can be used to help to identify NEEts and inform policies for improving their integration with the society. The study of NEETs with conventional data sources has been particularly challenging, because the majority of people belonging to this group are often difficult to record in, or even excluded from official records.
BOLD cities use all kinds of data generated by - among others - sensor technologies, social media or classic census data. The emerging urban data landscape is diverse and complex, and involves big data as well as open or linked data. It includes data that is personal and impersonal, individual and aggregate, historical and real time, and so on. It raises questions about storage, analytics, presentation and visualization, but also about appropriate data-governance and management, and particularly about the social and individual consequences of the urban data revolution for people in the city.
This project presents a sociological approach and explores the extent to which social interactions, at the level of the neighborhood, might be able to challenge current energy needs and to spur the construction of new meanings of energy, which ultimately might lead to a reduction of energy usage.