Predictive Analytics and Machine Learning in Assessing Migration Patterns: A Comparative Study

Abstract

This research looks at the prediction technologies that are now in use in the field of migration and how they affect migration governance. It contrasts their breadth and relationship to the research topic, goal, and philosophy of migration. The paper draws attention to these tools' shortcomings, which have an impact on migration management, particularly in light of institutional and stakeholder efforts within the EU to forecast mixed migration. The primary predictive migration tools available today have varying scopes and are useful in forming the specifications for a more complete predictive migration tool in the future. Advancements in communication, software, and hardware have enabled the proliferation of Internet-connected sensory devices, with estimates suggesting 25-50 billion worldwide gadgets will be connected by 2020. The Internet of Things (IoT) technology expands the Internet's capabilities, producing big data with speed, modalities, and quality.