Introduction
The migration of highly skilled professionals and academics is a major structural challenge for developing countries, including Iran, with significant economic, social, and national security implications. Previous studies have largely explained this phenomenon in terms of push and pull factors within the framework of national borders. In today's increasingly interconnected world, however, the movement of knowledge, capital, and human talent is shaped less by political boundaries than by global networks of connectivity. Drawing on Parag Khanna's theory of connectography, which examines countries' positions within global networks of infrastructure, flows, hubs, governance, geoeconomics, and resilience, this study approaches elite migration as a networked and transnational phenomenon. It asks: What structural factors are likely to shape future scenarios of elite migration from Iran, and how can these scenarios be managed to strengthen national security?
Methodology
The study adopts a strategic foresight approach and employs a mixed-method design conducted in three stages. First, a review of the literature and systematic analysis of relevant sources identified twenty factors influencing elite migration. These factors were organized into eight clusters across six dimensions of Khanna's connectography framework. Second, eight experts in demography, sociology, science and technology policy, and political science participated in constructing an 8×8 cross-impact matrix. The matrix was analyzed using MICMAC to distinguish among the system's driving, linkage, dependent, and autonomous variables. Third, the two most influential drivers, governance and institutions and global flows, were identified as critical uncertainties. Using the GBN scenario framework, four alternative scenarios for the future of elite migration were then developed.
Findings and Discussion
The indirect cross-impact analysis showed that governance and institutions exert the greatest influence on the system and constitute its primary driving force. Global flows, by contrast, exhibit both high influence and high dependence, giving them a dual and intermediary role. Scientific and educational infrastructure and digital infrastructure also emerged as linkage variables. Scientific hubs and individual and family characteristics, however, were found to be more responsive to changes in other components of the system. Resilience and social capital emerged as the least influential factors.
The interaction between the two key drivers produced four scenarios. In “Active Talent Circulation,” effective governance combined with strong global flows promotes transnational cooperation and the return of highly skilled professionals. In “Connected Brain Drain,” weak governance and strong global flows sustain emigration while allowing emigrant talent to maintain connections with the country. In “Endogenous and Sustainable Development,” effective governance combined with weak global flows pushes the country toward a development model based primarily on domestic capacities and characterized by relative isolation from the outside world. The most adverse scenario, “Talent Stagnation and Isolation,” emerges when weak governance coincides with limited global flows, resulting in largely irreversible, one-way emigration of highly skilled professionals.
The findings suggest that Iran's current position falls somewhere between these four scenarios but is closer to the fourth. This trajectory appears to be driven less by the individual motivations of highly skilled professionals than by weaknesses in governance structures and institutional inefficiency.
Conclusion
By moving beyond linear and single-cause explanations toward a systemic and network-based perspective, this study identifies governance and institutions and global flows as the two central dimensions for managing elite migration. Based on these findings, five policy strategies are proposed:

Redesigning the governance of science and technology around merit-based principles;
Establishing a national platform to connect with the scientific diaspora and channel brain drain toward brain circulation;
Reforming the research funding system to enhance international competitiveness;
Facilitating international scientific engagement by removing access barriers and streamlining visa procedures; and
Developing a ten-year national strategy for talent migration with a designated lead institution.

The findings indicate that effectively addressing elite migration requires simultaneous action on both domestic and global fronts. Relying solely on restrictive domestic policies, without strategically managing the country's connections to global knowledge networks, is unlikely to provide an effective response.