论文标题
人口统计学,迁移和人类流动性的数据创新
Data Innovation in Demography, Migration and Human Mobility
论文作者
论文摘要
随着循证决策的培养,数据的可用性已成为决策者的核心。如今,创新的数据源通过提供大量的实时和空间详细的数据来更准确地描述人口统计学,流动性和迁徙现象。然而,与此同时,数据创新导致了公民,统计局,政策制定者和私营部门的新挑战(道德,隐私,数据治理模型,数据质量)。该报告的目的专注于人口统计学,流动性和迁移研究领域,目的是评估科学文献中数据创新的当前状态,以及确定数据创新具有最具体决策潜力的领域。因此,这项研究已经审查了使用非传统数据源来衡量重要人口事件(死亡,生育能力),移民和人类流动性以及人口变化和人口分布的300多个文章和科学报告以及众多工具。我们报告的具体发现构成了讨论a)与传统数据源相比如何使用创新数据的基础; b)创新数据具有最大潜力有助于决策的领域; c)创新数据过渡到系统地促进官方统计和决策的前景。
With the consolidation of the culture of evidence-based policymaking, the availability of data has become central to policymakers. Nowadays, innovative data sources offer an opportunity to describe demographic, mobility, and migratory phenomena more accurately by making available large volumes of real-time and spatially detailed data. At the same time, however, data innovation has led to new challenges (ethics, privacy, data governance models, data quality) for citizens, statistical offices, policymakers and the private sector. Focusing on the fields of demography, mobility, and migration studies, the aim of this report is to assess the current state of data innovation in the scientific literature as well as to identify areas in which data innovation has the most concrete potential for policymaking. Consequently, this study has reviewed more than 300 articles and scientific reports, as well as numerous tools, that employed non-traditional data sources to measure vital population events (mortality, fertility), migration and human mobility, and the population change and population distribution. The specific findings of our report form the basis of a discussion on a) how innovative data is used compared to traditional data sources; b) domains in which innovative data have the greatest potential to contribute to policymaking; c) the prospects of innovative data transition towards systematically contributing to official statistics and policymaking.