Against the backdrop of an accelerating new wave of scientific and technological revolution and industrial transformation, international competition is increasingly centered on national competitiveness in research talent, and world-class universities are responding by expanding organized research and interdisciplinary initiatives. In this context, interdisciplinary research institutes differ from traditional departments in governance structure, staffing arrangements, and modes of research organization. They have become key organizational carriers through which universities channel high-caliber researchers toward strategic fields and advantaged platforms. Yet in practice, these institutes commonly face persistent challenges. Research talent may circulate rapidly while long-term retention remains low, talent agglomeration is often sustained through loosely coupled “virtual” projects rather than consolidated and substantively institutionalized organizational structures, and career development pathways for early-career researchers are frequently ambiguous. Accordingly, this study focuses on how interdisciplinary research institutes, through formal institutional design and effective implementation, convert short-term attraction into long-term attachment. On this basis, it comparatively examines how different institutes form differentiated models of talent agglomeration. To enable systematic comparison, the study selects six recently established yet fast-growing interdisciplinary research institutes as cases. The cases include the MIT Media Lab, the Oxford Martin School, and the Institute for Climate Change and Sustainable Development at Tsinghua University. Case selection is guided by the scope of their research influence and the primary missions they undertake. Collectively, these cases represent three salient functional orientations: frontier knowledge production, public governance, and research application with industry linkage. The theoretical framework integrates the Van Meter and Van Horn systems model of policy implementation with the Attraction–Selection–Attrition (ASA) model from person–organization fit theory. This integration connects individual–organizational matching dynamics with an organizational governance perspective and highlights how standards and objectives, resource conditions, inter-organizational relations, implementer dispositions, and the wider institutional environment shape the functioning and effectiveness of formal institutions. Within this integrated framework, the study first underscores that talent agglomeration exerts a pivotal influence on research institutes’ scholarly output and societal impact. Talent agglomeration is conceptualized as a dynamic process shaped by formal organizational institutions, rather than a simple matter of attraction and headcount concentration. This process unfolds across four interrelated stages: initial attraction, talent selection, sustained retention, and synergistic reinforcement. Through these stages, formal rules and organizational routines progressively stabilize affiliation, structure internal collaboration, and strengthen organizational competitiveness. Building on this analytical framework, the study seeks to identify which institutional instruments and implementation conditions are most decisive in determining whether initial inflows can be transformed into durable organizational attachment. It further aims, through systematic cross-case comparison, to examine whether recognizable types of talent agglomeration models can be identified among interdisciplinary research institutes at world-class universities, and to clarify the shared and differentiating features of these types in relation to institutional missions and structural positioning within broader higher education and research systems.

The study adopts mixed qualitative–quantitative strategy to examine both the institutionalized pathways and the outcomes of talent agglomeration in interdisciplinary research institutes. Empirically, it combines bibliometric analysis, curriculum vitae (CV) analysis, and document-based institutional analysis to triangulate organizational arrangements with observable career and output patterns. Bibliometric data are used to capture research productivity, disciplinary distribution, collaboration networks, and visibility/impact signals, with outputs attributed to institutes through systematic cleaning of affiliation strings, institute-name variants, and cross-checking against institute member directories and official reporting. CV analysis is employed to reconstruct researchers’ career trajectories and mobility patterns, including prior affiliations, cross-appointments, transitions into and out of the institute, and indicators of career development such as role changes, leadership responsibilities, and stability of institutional attachment. This is supplemented by information from official profiles and publicly available CV documents where applicable. In parallel, institutional and policy documents—such as governance statements, organizational charts, fellowship and appointment descriptions, recruitment and evaluation policies, funding and partnership disclosures, and university-level regulations shaping employment and assessment—are collected and analyzed to map the formal instruments through which institutes attempt to attract, select, retain, and reinforce talent. Analytically, the study first conducts within-case reconstruction of each institute’s staged pathway across attraction, selection, retention, and reinforcement, identifying how formal rules, routines, and resources are designed and enacted over time; it then performs cross-case comparison to surface recurring configurations of institutional instruments and implementation conditions, and to examine how these configurations vary by functional orientation. By integrating these sources and analyses, the methodology enables the study to connect institutional design and implementation capacity with both the observed composition of talent teams and the attribution of research outputs, thereby providing a rigorous basis for identifying and comparing talent agglomeration models across world-class universities’ interdisciplinary research institutes.

Building on preliminary results, the study will offer a process-oriented explanation of why “short-term attraction” in interdisciplinary research institutes does not automatically translate into “long-term attachment.” The key mechanisms of talent agglomeration are not confined to initial attraction and recruitment; rather, they depend more decisively on the formal institutional arrangements and organizational operations that underpin the stages of sustained retention and synergistic reinforcement. These later stages are crucial for stabilizing affiliation, consolidating collaborative routines, generating cumulative advantages, and ultimately triggering a renewed cycle of talent agglomeration. Conversely, when institutes operate primarily through time-bounded projects and externally driven funding cycles without the parallel consolidation of substantive organizational structures and stable institutional systems, early-career researchers are more likely to face ambiguous advancement pathways, weaker organizational identification, and diminished long-term attachment. At the same time, the study expects to demonstrate that research institutes with different functional orientations exhibit significant differences in their goals for talent agglomeration, as well as in the relative emphasis they place on recruitment, appointment, and incentive mechanisms and the institutionalized instruments they adopt in these areas. Theoretically, the study deepens an organizational understanding of talent agglomeration in university-based interdisciplinary research institutes by clarifying the institutionalized pathways through which integrated design and stable implementation of formal institutions convert talent attraction into durable organizational attachment. Practically, it seeks to identify which formal institutional tools are most effective in transforming “project-based attraction” into “organization-based attachment,” thereby informing governance strategies for attracting and retaining high-caliber researchers and for strengthening interdisciplinary research capacity and performance. In addition, the study will reflect on how interdisciplinary research institutes can balance frontier knowledge production with broader societal service.

Ávila-Robinson, A., & Sengoku, S. (2017). Multilevel exploration of the realities of interdisciplinary research centers for the management of knowledge integration. Technovation, 62–63, 22–41. Bleiklie, I., & Powell, W. W. (2005). Universities and the production of knowledge: Introduction. Higher Education, 49(1–2), 1–8. Borman, G. D., Chow, A., Hoxby, C., et al. (2018). Organized research units in universities. Minerva, 56(3), 303–325. Cruz-Castro, L., Martínez, C., Peñasco, C., et al. (2020). The classification of public research organizations: Taxonomical explorations. Research Evaluation, 29(4), 377–391. Czaika, M., & Orazbayev, S. (2018). The globalisation of scientific mobility, 1970–2014. World Development, 110, 26–47. Frantz, J. M., McClary, B., Johnson, M., et al. (2022). Institutional policies, practices and initiatives impacting research productivity: A higher education perspective. The Journal of Research Administration, 53(2), 1–17. Lam, A. (2011). What motivates academic scientists to engage in research commercialization. Research Policy, 40(10), 1354–1368. Lancho-Barrantes, B. S., & Cantu-Ortiz, F. J. (2021). Quantifying the publication preferences of leading research universities. Scientometrics, 126, 2269–2310. Leahey, E., Beckman, C. M., & Stark, D. (2017). Interdisciplinary research and its discontents. Science, 357(6353), 109–111. Nyhagen, G. M., & Baschung, L. (2013). New organisational structures and the transformation of academic work. Higher Education, 66(4), 409–423. Omodei, E., De Domenico, M., & Arenas, A. (2017). Evaluating the impact of interdisciplinary research: A multilayer network approach. Network Science, 5(2), 235–246. Rhoten, D., & Parker, A. (2004). Risks and rewards of an interdisciplinary research path. Science, 306(5704), 2046–2047. Robinson-Garcia, N., Sugimoto, C. R., Murray, D., et al. (2019). The many faces of mobility: Using bibliometric data to measure the movement of scientists. Journal of Informetrics, 13(1), 50–63. Tigges, B. B., Miller, D., Dudding, K. M., et al. (2019). Measuring quality and outcomes of research collaborations: An integrative review. Journal of Clinical and Translational Science, 3(5), 1–29. Whitley, R., & Glaser, J. (2014). The impact of institutional reforms on the nature of scientific research. Research Policy, 43(3), 425–442.