Skip to content
#data science Open access

ReConstructing Discourses on African Medicinal Knowledge in the Context of Contemporary Healthcare Systems.

Oct 2026 · Open University of Cape Town (University of Cape Town)
African cultural and philosophical studies

Abstract

African medicinal knowledge endures as a living archive of cultural, ecological, and intellectual sophistication. This study explores how such knowledge, grounded in Afrocentric epistemologies, interacts with scientific and legal frameworks that define legitimacy, ownership, and value. Through an interpretive, theory-driven analysis of secondary data, the research examines two emblematic case studies, Sutherlandia frutescens and Pelargonium sidoides, to trace the intersections of law, science, and ecology in shaping African medicinal knowledge production. Drawing on Foucault's concept of biopolitics, Institutional Theory, and the Capitalocene framework, the study investigates how Afrocentric systems are negotiated, reconstituted, and often constrained within global healthcare and bioeconomic structures. The Sutherlandia case highlights the epistemological tension between relational healing and the reductionism of laboratory science, while the Pelargonium case exposes the juridical and ethical dilemmas of bioprospecting and intellectual property through the Masakhane community's resistance to Schwabe Pharmaceuticals. Together, these cases reveal Afrocentric knowledge as both resilient and contested, continually reshaped through encounters with institutional power and market imperatives. The research uses thematic and content analysis supported by NVivo-assisted coding to interpret patterns across legal, scientific, and cultural narratives. Findings show that Afrocentric medicinal knowledge remains central to global discussions on health and sustainability yet is restricted by structures privileging Western epistemic norms. A polylogical framework is proposed as a pathway for coexistence between diverse knowledge systems without hierarchy. Language is treated not only as a medium but as a site of epistemic negotiation, signalling how meaning and terminology influence the production and validation of knowledge. Through this lens, the study advances an inclusive approach to governing medicinal knowledge, one that aligns equity with the cultural and ecological relationships sustaining it.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Trajectory Balance: Improved Credit Assignment in GFlowNets

It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...

Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al. · 302 citations · ⚡60

Related blog posts

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.