Page 33 - IJPS-11-6
P. 33
International Journal of
Population Studies Migration data management insights
to support disaster response activities. ISPRS International Giguashvili, G. (2023). Possibilities of using Artificial Intelligence
Journal of Geo-Information, 10(6):421. in the process of international migration management.
Innovative Economics and Management, 10(3):58-66.
https://doi.org/10.3390/ijgi10060421
https://doi.org/10.46361/2449-2604.10.3.2023.58-66
De Beer, J., Raymer, J., Van der Erf, R., & Van Wissen, L. (2010).
Overcoming the problems of inconsistent international Gonzalez-Salinas, A.I., Andrade, E.L., Abroms, L.C., Gomez, K.,
migration data: A new method applied to flows in Europe. Favetto, C., & Collins, K.K. (2024). Latino parents’ reactions
European Journal of Population/Revue Europeenne de to and engagement with a facebook group-based COVID-19
Demographie, 26(4):459. vaccine promotion intervention: Mixed methods pilot study.
JMIR Formative Research, 8(1):e51331.
De Jong, G.F., Chamratrithirong, A., & Tran, Q.G. (2002). For
better, for worse: Life satisfaction consequences of migration https://doi.org/10.2196/51331
1. International Migration Review, 36(3):838-863.
Guo, S. (2010). Toward recognitive justice: Emerging trends and
https://doi.org/10.1111/j.1747-7379.2002.tb00106.x challenges in transnational migration and lifelong learning.
International Journal of Lifelong Education, 29(2), 149-167.
Derave, C., Genicot, N., & Hetmanska, N. (2022). The risks of
trustworthy artificial intelligence: The case of the European https://doi.org/10.1080/02601371003616533
travel information and authorisation system. European Heeks, R., & Renken, J. (2018). Data justice for development: What
Journal of Risk Regulation, 13(3):389-420.
would it mean? Information Development, 34(1):90-102.
https://doi.org/10.1017/err.2022.5
https://doi.org/10.1177/0266666916678282
Dolado, J., Goria, A., & Ichino, A. (1994). Immigration, human Hughes, C., Zagheni, E., Abel, G.J., Sorichetta, A.,
capital and growth in the host country: Evidence from Wi’sniowski, A., Weber, I., et al. (2016). Inferring
pooled country Data. Journal of Population Economics, migrations: Traditional methods and new approaches
7(2):193-215. based on mobile phone, social media, and other big
https://doi.org/10.1007/bf00173619 data: Feasibility study on inferring (labour) mobility and
migration in the European Union from big data and social
Fantazzini, D., Pushchelenko, J., Mironenkov, A., & Kurbatskii, A. media data.
(2021). Forecasting internal migration in Russia using Google
Trends: Evidence from Moscow and Saint Petersburg. IOM. (2018). Big Data and Migration. Geneva: IOM.
Forecasting, 3(4):774-803.
IOM. (2011). Glossary on Migration. N25. Available from:
https://doi.org/10.3390/forecast3040048 https://publications.iom.int/system/files/pdf/iml25_1.pdf
[Last accessed on 2024 Dec 12].
Fassmann, H. (2009). European migration: Historical overview
and statistical problems. Statistics and reality. Concepts IOM. (2018). Data Bulletin-Big Data and Migration. ISPRA:
and measurements of migration in Europe. Amsterdam: International Organization for Migration. Available from:
Amsterdam University Press, p.21-44. https://publications.iom.int/system/files/pdf/issue_5_big_
data_and_migration.pdf [Last accessed on 2024 Jan 20].
Fehr, H., Jokisch, S., & Kotlikoff, L.J. (2008). Fertility, mortality
and the developed world’s demographic transition. Journal IOM. (2020). Regional Data Overview: Migration Data in
of Policy Modeling, 30(3):455-473. Europe. Available from: Available from: h t t p s : / /
migrationdataportal.org/regional-data-overview/europe
https://doi.org/10.1016/j.jpolmod.2008.01.002
IOM. (2021). Big Data for Migration Alliance Launches Call to
Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Harness Responsible Data Innovation for Better Migration
Dignum, V., et al. (2018). AI4People-an ethical framework Governance. Available from: https://gmdac.iom.int/
for a good AI society: Opportunities, risks, principles, and news/big-data-migration-alliance-launches-call-harness-
recommendations. Minds and Machines, 28:689-707.
responsible-data-innovation-better-migration-governance
https://doi.org/10.1007/s11023-018-9482-5 [Last accessed on 2024 Oct 22].
Forti, M. (2021). AI-driven migration management procedures: IOM. (2024). World Migration Report 2024. Available from:
Fundamental rights issues and regulatory answers. BioLaw https://worldmigrationreport.iom.int/msite/wmr-2024-
Journal, 2:433-451. interactive [Last accessed on 2024 Oct 21].
Franklinos, L.H., Parrish, R., Burns, R., Caflisch, A., Mallick, B., Jacobsen, K., & Landau, L.B. (2003). The dual imperative in refugee
Rahman, T., et al. (2021). Key opportunities and challenges research: Some methodological and ethical considerations
for the use of big data in migration research and policy. UCL in social science research on forced migration. Disasters,
Open Environment, 3:e027. 27(3):185-206.
https://doi.org/10.14324/111.444/ucloe.000027 https://doi.org/10.1111/1467-7717.00228
Volume 11 Issue 6 (2025) 27 https://doi.org/10.36922/ijps.6846

