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This inventory includes metadata on various quantitative and qualitative sources of information on Syrian migration to Europe in 2011-21 that can be used for agent-based modelling purposes, with each source accompanied by data quality assessment. The files are available in a TSV and MS Excel format. The judgement-based quality ratings provided are specific to the requirements of agent-based modelling, as detailed in the background paper. A queryable version of the inventory is available on the website of the project Bayesian Agent-Based Population Studies (BAPS), funded by the European Research Council (725232): https://baps-project.eu/inventory/data_inventory. The methodology behind assembling this dataset and assessing the individual data sources according to pre-defined quality criteria is detailed in: Nurse S and Bijak J (2022) Building a Knowledge Base for the Model. In: J Bijak et al., Towards Bayesian Model-Based Demography. Agency, Complexity and Uncertainty in Migration Studies. Methodos Series, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-030-83039-7_4
Asylum, Europe, metadata, migration, migrant populations, migratory routes, Syria
Asylum, Europe, metadata, migration, migrant populations, migratory routes, Syria
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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