Data Innovation in Demography, Migration and Human Mobility
- URL: http://arxiv.org/abs/2209.05460v1
- Date: Mon, 5 Sep 2022 07:55:07 GMT
- Title: Data Innovation in Demography, Migration and Human Mobility
- Authors: Claudio Bosco, Sara Grubanov-Boskovic, Stefano Iacus, Umberto Minora,
Francesco Sermi, Spyridon Spyratos
- Abstract summary: Data innovation has led to new challenges (ethics, privacy, data governance models, data quality) for citizens, statistical offices, policymakers and the private sector.
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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 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.
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