Surveying
By A. H. Dodson. 2021
. Homelessness is an extreme form of social exclusion and a dynamic process difficult to measure. These are some of the methodological challenges addressed within the recent Istat national project on homelessness (2024-2026). In order to get information on the ‘visible’ homeless population at a certain time in a specific area, a Point in Time count of sheltered and unsheltered people experiencing homelessness is going to be conducted in 14 Italian Centers of the Metropolitan areas. In addition, a sample CAWI survey is planned shortly following the count on the same target population to collect more information on the profiles and condition of homeless people. Non-professional interviewers specifically trained, many of them volunteering on services for the homeless together with other citizens, will be in charge of data collection. The aim of this paper is to discuss the main conceptual and operational issues related to the development of the in-depth questionnaire considering various aspects. Among them the definition and eligibility of the target population, balancing information on the main profiles and investigating reasons and dynamics of homelessness, use of services, denied rights and crucial needs.
Subfields: Natural Language Processing
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In Natural Language Processing
- Emily L. Denton
- Inioluwa Deborah Raji
- A. Hanna
- Amandalynne Paullada
- Emily M. Bender
- Dirk Hovy
- Bertie Vidgen
- Leon Derczynski
Citations in the corpus
- AI and the Everything in the Whole Wide World Benchmark (2021, background): “…source contrasts with the use of benchmarks for charting the state of the art: surveyors are not in the business of measuring the furthest anyone has gone along some particular trail but rather in understanding the shape of the landscape and how it has changed over time [Kahmen and Faig, 1988].”