Page 31 - IJPS-11-6

International Journal of
Population Studies Migration data management insights

stakeholders, fostering an environment where informed Acknowledgments
policymaking can thrive.
None.
The potential for enhanced collaboration is particularly
noteworthy, as it allows for the pooling of resources and Funding
expertise across various sectors. This collaborative spirit is None.
essential for addressing the multifaceted nature of migration
issues, which often transcend national borders and require Conflict of interest
coordinated efforts. Informed policymaking emerges as a
critical outcome of improved data management practices; The author declares no conflicts of interest.
policymakers equipped with comprehensive insights can Author contributions
make decisions that better reflect the realities faced by
migrants. This is a single-authored article.
Moreover, efficient resource allocation becomes Ethics approval and consent to participate
feasible when data-driven approaches are employed,
ensuring that assistance reaches those who need it most. Not applicable.
The advancement of research in this field is equally Consent for publication
significant; innovative analytical techniques can unveil
trends and correlations previously obscured by inadequate Not applicable.
data handling practices. This not only enriches academic Availability of data
discourse but also empowers practitioners on the ground
to implement evidence-based interventions. Not applicable.
Public engagement is another vital aspect highlighted in References
the findings. By demystifying migration data and making
it accessible to a broader audience, stakeholders can foster Ahmad Yar, A.W., & Bircan, T. (2023). Challenges with
greater understanding and empathy toward migrants’ international migration data: An analysis of the experience
of national statistical institutions. International Migration
experiences. This engagement is crucial in combating Review, 01979183231205564.
misinformation and building supportive communities.
https://doi.org/10.1177/01979183231205564
At the heart of these developments is the pivotal role
played by AI and initiatives such as the BD4M. These efforts Alderson, A.S., & Nielsen, F. (2002). Globalization and the great
U-turn: Income inequality trends in 16 OECD countries.
leverage sophisticated analytics to enhance comprehension American Journal of Sociology, 107(5):1244-1299.
of global migration trends and improve conditions
for migrants. AI technologies are revolutionizing the https://doi.org/10.1086/341329
management of international migration by fostering Alencar, A. (2018). Refugee integration and social media: A local
collaboration among stakeholders through insights derived and experiential perspective. Information, Communication
from data, streamlining administrative tasks like visa and Society, 21(11):1588-1603.
processing, and identifying irregular migration pathways https://doi.org/10.1080/1369118X.2017.1340500
using machine learning techniques. Nevertheless, this
dependency on technology introduces ethical issues Alexander, J.S., Murr, M.L., & Eddy-Miller, C.A. (2022). Testing
the potential of streamflow data to predict spring migration
related to surveillance and privacy, necessitating a careful of an ungulate herds. PLoS One, 17(1):e0262078.
equilibrium between operational effectiveness and the
safeguarding of human rights. https://doi.org/10.1371/journal.pone.0262078
In summary, while managing migration data poses Araujo, M., Mejova, Y., Weber, I., & Benevenuto, F. (2017).
Using Facebook ads audiences for Global Lifestyle Disease
significant challenges related to fragmentation, privacy Surveillance: Promises and Limitations. In: Proceedings of
concerns, dynamic patterns, technological barriers, and the 2017 ACM on Web Science Conference, p.253-257.
policy alignment issues, it simultaneously opens avenues
for enhanced collaboration, informed policymaking, Avramescu, A., & Wiśniowski, A. (2021). Now-casting Romanian
migration into the United Kingdom by using Google Search
efficient resource allocation, research advancements, and engine data. Demographic Research, 45:1219-1254.
increased public engagement. The integration of AI into
this framework signifies a transformative step towards https://doi.org/10.4054/demres.2021.45.40
more effective management of global migration issues. Azose, J.J., & Raftery, A.E. (2019). Estimation of emigration, return

Volume 11 Issue 6 (2025) 25 https://doi.org/10.36922/ijps.6846