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Translating Technology in Africa brings together authors from different disciplines who engage with Science and Technology Studies (STS) to stimulate curiosity about the diversity of sociotechnical assemblages on the African continent. The contributions provide detailed praxeographic examinations of technologies at work in postcolonial contexts. The series of 5 volumes aims to catalyse the development of a field of research that is still in its infancy in Africa and promises to offer novel insights into past, present, and future challenges and opportunities facing the continent. The first volume, on "Metrics", explores practices of quantification and digitisation. The chapters examine how numbers are aggregated and how the resulting metrics shape new realities.

Contributors include Kevin. P. Donovan, Véra Ehrenstein, Jonathan Klaaren, Emma Park, Helen Robertson, René Umlauf and Helen Verran
Author:
The old practices of interpretation have been exhausted, and the humanities and social sciences are facing a crisis. Is there a way out of the labyrinth of reading? In this book, Professor Neuman presents a challenging approach to interpreting texts and reading literature through the spectacles of conceptual mathematics. This approach strives to avoid the simplicity of a quantitative approach to the analysis of literature as well as both the relativistic and the ideological dangers facing a qualitative reading of a text. The approach is introduced in a rigorous and accessible manner and woven with insights gained from various fields. Taking us on a challenging journey from Ovid’s Metamorphoses to Nick Cave’s The Death of Bunny Munro, the book shows how we may gain a deeper understanding of literature and the aesthetic experience of reading.
Bridging Hegelian Dialectics and Marxian Models
Author:
In How Language Informs Mathematics Dirk Damsma shows how Hegel’s and Marx’s systematic dialectical analysis of mathematical and economic language helps us understand the structure and nature of mathematical and capitalist systems. More importantly, Damsma shows how knowledge of the latter can inform model assumptions and help improve models.

His book provides a blueprint for an approach to economic model building that does away with arbitrarily chosen assumptions and is sensitive to the institutional structures of capitalism. In light of the failure of mainstream economics to understand systemic failures like the financial crisis and given the arbitrary character of most assumptions in mainstream models, such an approach is desperately needed.