Computational social science in regional analysis and the European real estate market
The recent so-called “data revolution” offers unprecedented opportunities to innovate regional policies. New data sources are being widely used by the scientific community, however, their uptake is far from being systematic in the policy cycle, where data innovation can improve territorial impact assessment. This paper presents a survey on the use of non-traditional data in the context of regional policy, together with a case study on real estate markets of three European countries, highlighting perspectives and limitations of Computational Social Science in regional analysis in terms of data quality and availability.
GABRIELLI Lorenzo;
SULIS Patrizia;
FONTANA Matteo;
SIGNORELLI Serena;
VESPE Michele;
LAVALLE Carlo;
2024-12-16
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
JRC131062
0034-3404 (online),
https://www.tandfonline.com/doi/full/10.1080/00343404.2024.2329238,
https://publications.jrc.ec.europa.eu/repository/handle/JRC131062,
10.1080/00343404.2024.2329238 (online),
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