Published Paper Details:

Global education is currently in high demand worldwide. Today, access to education is no longer limited by national lines but has spread globally. The exodus of highly skilled individuals, termed as "brain drain,"[1] has several negative effects on developing countries. If students return to their home country after receiving expertise in aspects such as technology, healthcare, engineering products, and strategic planning, there is a scope for technical and economic progress in the parent country that will be on par with developed nations. We develop a predictive model to forecast future brain drain trends based on current factors such as Economic Growth and Job Opportunities, Salary and Compensation Packages, Global Mobility and Connectivity, and Government Policies and Initiatives. A regression model, such as linear regression, or response surface model will help us forecast the number of immigrants and assess the influence of various factors. This analysis could help in anticipating potential challenges. Future iterations can offer more customization that might support social policymakers in their decision-making about brain drain.