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Computational social science in regional analysis and the European real estate market

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  • Lorenzo Gabrielli
  • Patrizia Sulis
  • Matteo Fontana
  • Serena Signorelli
  • Michele Vespe
  • Carlo Lavalle

Abstract

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 the perspectives and limitations of computational social science in regional analysis in terms of data quality and availability.

Suggested Citation

  • Lorenzo Gabrielli & Patrizia Sulis & Matteo Fontana & Serena Signorelli & Michele Vespe & Carlo Lavalle, 2024. "Computational social science in regional analysis and the European real estate market," Regional Studies, Taylor & Francis Journals, vol. 58(8), pages 1583-1602, August.
    • Handle: RePEc:taf:regstd:v:58:y:2024:i:8:p:1583-1602
    DOI: 10.1080/00343404.2024.2329238
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