Complexity leadership in action: a team science case study

• Published in: Frontiers in research metrics and analytics 2023, Vol.8, p.1211554-1211554
• Main Authors: Jiang, Gemma, Boghrat, Diane, Grabmeier, Jenny, Cross, Jennifer E
• Format: Article
• Language: English
• Subjects: adaptive process; complexity leadership theory; effective meetings; emergence; Research Metrics and Analytics; team capacity development; team science
• ISSN: 2504-0537; 2504-0537
• DOI: 10.3389/frma.2023.1211554

This team science case study explores one cross-disciplinary science institute's change process for redesigning a weekly research coordination meeting. The narrative arc follows four stages of the adaptive process in complex adaptive systems: disequilibrium, amplification, emergence, and new order. This case study takes an interpretative, participatory approach, where the objective is to understand the phenomena within the social context and deepen understanding of how the process unfolds over time and in context. Multiple data sources were collected and analyzed. A new adaptive order for the weekly research coordination meeting was established. The mechanism for the success of the change initiative was best explained by complexity leadership theory. Implications for team science practice include generating momentum for change, re-examining power dynamics, defining critical teaming professional roles, building multiple pathways towards team capacity development, and holding adaptive spaces. Promising areas for further exploration are also presented.