Page 21 - IJPS-11-6

International Journal of

Population Studies

PERSPECTIVE ARTICLE
Navigating the complexities of migration data

management: Challenges and opportunities

Abduvaliev Mubinzhon*
Department of Theory of Economy, Tajik State University of Commerce, Dushanbe, Tajikistan

Abstract

Migration is a complex global phenomenon with profound socioeconomic, political,
and humanitarian implications. Effective migration data management is essential for
evidence-based policymaking, efficient resource allocation, and the protection of
migrant rights. However, several challenges — such as data fragmentation, privacy
concerns, rapidly evolving migration patterns, technological limitations, and policy
inconsistencies — hinder the comprehensive use of migration data. At the same time,
emerging technologies, including artificial intelligence (AI) and big data analytics,
offer transformative opportunities to enhance migration governance. Initiatives such
as the Big Data for Migration Alliance (BD4M) exemplify how collaborative, data-
driven approaches can improve migration management and lead to better outcomes
for migrants. This paper seeks to explore both the challenges and opportunities
*Corresponding author: associated with migration data management, with a particular focus on the role of
Abduvaliev Mubinzhon innovative technologies in advancing migration research and policymaking. The
(mubin104@gmail.com)
analysis revealed that, with significant barriers exist, such as fragmentation, privacy
Citation: Mubinzhon, A. (2025). concerns, dynamic patterns, technological constraints, and misaligned policies,
Navigating the complexities of
migration data management: there are also substantial opportunities for enhanced collaboration, informed
Challenges and opportunities. policymaking, efficient resource allocation, research advancements, and increased
International Journal of Population public engagement. Furthermore, the author highlights AI and the BD4M as key
Studies.11(6): 15-30.
https://doi.org/10.36922/ijps.6846 components of a leading collaborative effort to leverage advanced analytics for a
deeper understanding and more effective management of global migration. By
Received: December 2, 2024 analyzing diverse datasets through innovative analytical techniques, such initiatives
1st revised: January 24, 2025 aim to improve outcomes for migrant populations worldwide.
2nd revised: February 19, 2025
3rd revised: April 21, 2025 Keywords: Migration; Data; Management; Track; Network
Accepted: April 21, 2025
Published online: May 2, 2025
Copyright: © 2025 Author(s).
This is an Open-Access article 1. Introduction
distributed under the terms of the
Creative Commons Attribution Over the past decade, significant changes have shaped global mobility patterns. It
License, permitting distribution, is estimated that there will be approximately 281 million international migrants in
and reproduction in any medium, the world in 2020, which is approximately 3.6% of the total population. More than
provided the original work is
properly cited. 117 million individuals have been displaced due to conflict, violence, and disasters, a
record high in modern history. This growing scale of displacement highlights the urgent
Publisher’s Note: AccScience
Publishing remains neutral with need to address displacement crises (IOM, 2024).
regard to jurisdictional claims in
published maps and institutional The term “migrant” lacks a universally accepted definition, as it encompasses a
affiliations. wide array of individuals who relocate from their habitual residences, whether within

Volume 11 Issue 6 (2025) 15 https://doi.org/10.36922/ijps.6846