Now open for application
Closed for application
Scolarship code CU2.10

Statistical data science: Measurement issues of Social Sustainability

  • Reference person
    Corrado
    Crocetta
    corrado.crocetta@uniba.it
  • Host University/Institute
    Università degli studi di Bari A. Moro
  • Internship
    N
  • Research Keywords
    Social sustainability
    Inequalities
    Multidimensional statistical indicators
  • Reference ERCs
    SH3_4 Social integration, exclusion, prosocial behaviour
    SH3_9 Poverty and poverty alleviation
    PE1_15 Generic statistical methodology and modelling
  • Reference SDGs
    GOAL 1: No Poverty
    GOAL 3: Good Health and Well-being
    GOAL 11: Sustainable Cities and Communities
  • Studente
  • Supervisor
  • Co-Supervisor

Description

The research topic concerns measurement issues of Social Sustainability. A society that offers equal opportunities of upward social mobility and reduces marginalization creates the conditions for better institutions, trust and social capital that in turn foster economic growth. In this project, we plan to address social sustainability from an interdisciplinary perspective using quantitative and theoretical methods from social sciences. We will advance our knowledge on social sustainability by overcoming measurement issues of a phenomenon that is inherently multidimensional. This project is financed by PNRR, PE9 (Economic-financial sustainability of systems and territories), GRINS (Growing Resilient, INclusive and Sustainable). The project is focused on the construction of the AMELIA platform, that combines “geo-spatial knowledge” from the most advanced sources of geospatial data and information (e.g. ISTAT/EuroStat databases, Copernicus Land Monitoring Services and Sentinel images, LiDAR) with environmental, socio-economic and sentiment data. We will focus our attention on data aboutsocial and cultural participation, and social cohesion, at the regional and provincial levels in Italy. We intend to study also the inequalities in Social Sustainability across Italian regions and provinces. At the end we will produce dashboards able to measure the evolution of the main aspects of social sustainability in different areas and times.

Suggested skills:

The candidate should have basic statistical skills.

Research team and environment

The research group is composed by the statistician of the spoke 8 of project GRINS - Growing Resilient, INclusive and Sustainable PNRR chaired by prof. Cellini. The PhD student will work at University of Bari along with statisticians, and colleagues from economic and business areas.PhD students will have access to all the spaces available in the Department of Humanistic Research and Innovation.