This chapter examines extreme poverty and homelessness in the metropolitan area of Rome through a multilevel and integrated research design. The analysis combines the secondary analysis of digitized administrative data, capture- recapture estimation, a web survey of services, Social Network Analysis, and qualitative case studies. After clarifying the definitional boundaries of homelessness through the ETHOS framework, the chapter discusses the role of Anthology as a digital welfare infrastructure supporting case management, data governance, and organizational learning. Empirically, the study reconstructs the size and characteristics of the target population, maps the service system, identifies unmet needs and coordination patterns, and compares two organizational models. The findings support evidenceinformed recommendations for strengthening multilevel governance, housingoriented strategies, integrated interventions, and the quality and interoperability of administrative data.
Extreme Poverty, Digital Welfare, and Data Governance in Rome: A Multilevel and Integrated Analysis of the Service Network for People Experiencing Homelessness / Mauceri, Sergio; Faggiano, Maria Paola; Di Censi, Luca. - (2026), pp. 243-276.
Extreme Poverty, Digital Welfare, and Data Governance in Rome: A Multilevel and Integrated Analysis of the Service Network for People Experiencing Homelessness
Sergio Mauceri;Maria Paola Faggiano;Luca Di Censi
2026
Abstract
This chapter examines extreme poverty and homelessness in the metropolitan area of Rome through a multilevel and integrated research design. The analysis combines the secondary analysis of digitized administrative data, capture- recapture estimation, a web survey of services, Social Network Analysis, and qualitative case studies. After clarifying the definitional boundaries of homelessness through the ETHOS framework, the chapter discusses the role of Anthology as a digital welfare infrastructure supporting case management, data governance, and organizational learning. Empirically, the study reconstructs the size and characteristics of the target population, maps the service system, identifies unmet needs and coordination patterns, and compares two organizational models. The findings support evidenceinformed recommendations for strengthening multilevel governance, housingoriented strategies, integrated interventions, and the quality and interoperability of administrative data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


