Computational social science in regional analysis and the European real estate market
调查了非传统数据在区域政策中的应用，并以三个欧洲国家的房地产市场为例，探讨了计算社会科学在区域分析中的数据质量与可用性视角及局限。
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.