
This communication aims to enrich the panel by making novel contributions on 'how knowledge is developed, shaped, promoted, contested, accepted or rejected' in transnational policymaking. It presents the preliminary results of a three-year EU-funded research project on "Knowledge Transfer in Global Gender Programmes" (GlobalKnoT). The presentation focuses on global gender programmes, their actors, and networks. It employs the Actor-Network Theory to conceptualize the novel configurations of entities (e.g. people, research evidence, technologies, financial resources, institutions, and regulation) that jointly shape global governance. With the Sustainable Development Agenda, a plethora of global programmes have emerged that pool resources and expertise to address common (policy) problems at global, regional, national, and local levels. These multi-stakeholder partnerships generate and mobilize knowledge for (policy) change across diverse socio-cultural and political systems. The UN-led Global Programmes to End Female Genital Mutilation, Gender-biased Sex Selection, and Child Marriage are representative of this trend and serve as case studies. All three programmes engage in knowledge transfer to shape policies and shift discriminatory gender norms. How is knowledge generated, processed, and transferred within and across these global programmes? Which knowledge(s) become dominant and political over time and across programmes? Who are the actors and networks engaged in transnational knowledge transfer? What helps or hinders knowledge transfer? Employing a thematic analysis of policy and programme files and drawing from over 40 expert interviews and 200 hours of participant observation during global convening between 2021-2023, the paper explores similarities and differences across the three global gender programmes. Particular attention is placed on the so-called 'knowledge hubs' that the programmes have created to scale up transnational lessons sharing and the associated obstacles that hinder effective transfer of knowledge into policy.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
