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Main Authors: Pramaa, Tabia Tanzin, Danfortha, Christopher M., Dodds, Peter Sheridan
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2604.16375
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author Pramaa, Tabia Tanzin
Danfortha, Christopher M.
Dodds, Peter Sheridan
author_facet Pramaa, Tabia Tanzin
Danfortha, Christopher M.
Dodds, Peter Sheridan
contents The mobility of high-potential individuals, particularly graduates from elite academic institutions, serves as a critical driver of global innovation and economic development. Despite its importance, granular data on the specific trajectories and demographic drivers of these flows remain scarce in traditional administrative sources. In this study, we leverage anonymized, aggregate-level digital trace data from the LinkedIn Advertising platform to map the international mobility of graduates from 1,504 QS-ranked universities across 102 countries. We find that global talent flows are highly concentrated, with the United States capturing 38.4\% of the mobile elite, followed by the United Kingdom (7.9\%) and Canada (6.8\%), while regional hubs like the United Arab Emirates (5.2\%) have emerged as significant talent magnets. Our analysis reveals a global Relative Gender Gap (RGG) of +3.16\%, indicating a modest male overrepresentation that varies sharply by destination, from extreme male skews in Ethiopia (+60.34\%) to female overrepresentation in Armenia ($-$30.77\%). Professional integration is highly structured; while Business Development and Operations are universal entry channels, technical specialization in Engineering and IT is concentrated in specific innovation hubs. Destination ``pull'' is primarily driven by economic capacity, institutional stability, and educational infrastructure, though female graduates demonstrate significantly higher sensitivity to the cost of living. These findings provide a high-resolution lens on the global ``brain circulation,'' highlighting the destination-specific comparative advantages that govern high-skilled relocation.
format Preprint
id arxiv_https___arxiv_org_abs_2604_16375
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Global brain drain and gain in high-potential student mobility
Pramaa, Tabia Tanzin
Danfortha, Christopher M.
Dodds, Peter Sheridan
Computers and Society
The mobility of high-potential individuals, particularly graduates from elite academic institutions, serves as a critical driver of global innovation and economic development. Despite its importance, granular data on the specific trajectories and demographic drivers of these flows remain scarce in traditional administrative sources. In this study, we leverage anonymized, aggregate-level digital trace data from the LinkedIn Advertising platform to map the international mobility of graduates from 1,504 QS-ranked universities across 102 countries. We find that global talent flows are highly concentrated, with the United States capturing 38.4\% of the mobile elite, followed by the United Kingdom (7.9\%) and Canada (6.8\%), while regional hubs like the United Arab Emirates (5.2\%) have emerged as significant talent magnets. Our analysis reveals a global Relative Gender Gap (RGG) of +3.16\%, indicating a modest male overrepresentation that varies sharply by destination, from extreme male skews in Ethiopia (+60.34\%) to female overrepresentation in Armenia ($-$30.77\%). Professional integration is highly structured; while Business Development and Operations are universal entry channels, technical specialization in Engineering and IT is concentrated in specific innovation hubs. Destination ``pull'' is primarily driven by economic capacity, institutional stability, and educational infrastructure, though female graduates demonstrate significantly higher sensitivity to the cost of living. These findings provide a high-resolution lens on the global ``brain circulation,'' highlighting the destination-specific comparative advantages that govern high-skilled relocation.
title Global brain drain and gain in high-potential student mobility
topic Computers and Society
url https://arxiv.org/abs/2604.16375