Data Integration Approaches for a Multidimensional hOlistic representation of Neighbourhood Deprivation – DIAMOND

Principal Investigator: Margherita Silan

Funder: Italian Research Ministry (MUR) - call FIS 3 SH7 Starting Grant - Project Code FIS-2024-07620

Objectives:

The environment in which individuals live plays a significant role in shaping their overall health and well-being. DIAMOND propose to reach a more accurate and holistic measurement of neighbourhoods characteristics. The project will combine in original ways data from different sources considering diverse dimensions of deprivation, including social, environmental, functional, and pollution-related factors, viewed through objective (analysis of official and geographical data), subjective (surveys to collect opinions and perceptions), and graphical lenses (analysis of pictures and images).

The innovative methodology leverages cutting-edge data integration techniques, combining official sources (Istat and Arpa), traditional survey data with emerging sources such as social media platforms (Meta and TikTok), geographical information systems (Google Maps and Open Street Maps), and computer vision analysis of street-level imagery (Google Street View).

One of the key deliverables of this project is the development of an interactive website, where residents can actively participate in data collection, reporting on neighbourhood conditions. This platform will engage the community in the research process and provide access to information about their local environment.

Duration: TBD