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International Journal of
            Population Studies                                                     Migration data management insights



            adaptation,  and  discrimination  (Ratha  et al.,  2011).   Insufficient quality migration data can have significant
            Politically, flawed data can fuel anti-immigrant sentiment,   social, economic, and political implications. It undermines
            encourage restrictive policies, and distort representation,   efforts to address the needs of diverse communities,
            making it harder to develop effective integration strategies   hampers economic planning and development, and fuels
            and inclusive decision-making processes. In addition, the   anti-immigrant sentiment (Kwilinski et al., 2022). Without
            study of migration, from a political perspective, explores how   accurate and  reliable  data, decision-making  processes  at
            migration affects the political landscape both in the country   all levels of society are compromised, leading to ineffective
            of origin and in the country of destination (Boswell et al.,   policies and programs. In addition, inaccurate migration
            2011; Bottomley, 1992). Migration plays a significant role in   data can lead to inefficient allocation of resources, as
            shaping political identities, alliances, and conflicts, as well   policies and initiatives may be formulated without taking
            as political stability, democracy, and governance (Mavroudi   into account the specific needs of migrant populations.
            & Nagel, 2016). In addition to studying migration policies   Countries must invest in strengthening their migration
            and institutions, political scientists also study how states   data collection systems and making every effort to ensure
            manage and regulate national and international migration.  that migration data is collected and analyzed with the
              It is the focus of economists to examine the economic   utmost care and integrity.
            dimensions of migration, including the effects on the   The phenomenon of immigration has become a
            labor market and income distribution (Cahuc  et al.,   data-driven  practice,  where  the  collection  and  use  of
            2014; Topel, 1999). Their research examines the reasons   information play a crucial role in categorizing and
            for migration, such as the search for better employment   managing individuals, giving rise to the concept of data
            opportunities, higher wages, or improved living conditions   justice, a critical examination of the ethical and societal
            (Berger & Blomquist, 1992; De Jong  et al., 2002). In   impacts of data in migration and asylum systems (Leslie
            addition, economists examine the effects of migration on   et al., 2022). Scholars highlight how data practices can
            the economies of host countries, including the potential   reinforce inequalities and shape policies, emphasizing the
            for increased productivity and resource redistribution   need for frameworks that ensure fairness, transparency,
            (Dolado  et al., 1994; Jaumotte  et al., 2016; Nathan,   and accountability in handling migrant data (Noori,
            2014). On the other hand, they also consider potential   2022). Concerns over surveillance, privacy violations,
            negative consequences, such as increased competition for   and discriminatory algorithms underscore the urgency
            scarce resources and the possibility of income inequality   of protecting migrants’ rights in an era where their
            (Alderson & Nielsen, 2002; Lipton, 1980).          data  is  often  exploited  or  weaponized  (Metcalfe  &
              Barker & Bijak (2022) utilize contemporary models as   Dencik, 2019). Data justice thus serves as a vital lens to
            benchmarks for their predictions. The use of these models   analyze the intersection of technology, governance, and
            is demonstrated through two case studies: the Syrian   human rights in modern migration. During the past
            refugee crisis from 2015 to 2016 and the ongoing migration   two decades, European asylum systems have become
            challenges resulting from the war and humanitarian   increasingly digital, not just in terms of communication
            emergency in Ukraine. They found that while it is possible   within organizations, but also concerning determining
            to use statistical and computational methods to anticipate   refugee status and assessing security risks (Micinski &
            trends in asylum applications, significant challenges   Jones, 2022). The asylum application process requires
            remain due to the complexity of migration drivers, data   an individual to establish their identity, document their
            limitations, and uncertainties in geopolitical events.   experiences of violence  and persecution,  and provide
            Similarly, the empirical study conducted by Napierala   details surrounding their flight. Recent trends in Europe,
            et al. (2022) demonstrated the effectiveness and potential   however, indicate that these objectives are increasingly
            of their approach in managing mixed migration flows   being met through advanced surveillance technologies,
            into Europe during the period from 2010 to 2016. Their   such as smartphone data extraction (Josipovic, 2023).
            study underscored the potential of their Early Warning   Asylum seekers are increasingly relying on technology to
            Models of Asylum Migration methodology as a valuable   gather evidence during administrative selection processes.
            tool for enhancing the comprehension and management   Data justice is defined as an ethical framework that
            of intricate migration dynamics. In addition, the research   assesses the fairness and equity of data-related resources,
            highlighted the importance of advancing the integration   processes, and structures. This concept emphasizes
            of “big data” technologies with scenario-based analytical   the importance of ensuring that data practices do not
            approaches to refine predictive capabilities further and   perpetuate inequalities or injustices, advocating for
            improve decision-making processes in this domain.  accountability and transparency in how data is collected,


            Volume 11 Issue 6 (2025)                        18                        https://doi.org/10.36922/ijps.6846
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