Springer The Incentivised University: Scientific Revolutions, Policies, Consequences: 9 (Debating Higher Education: Philosophical Perspectives, 9)

The core thesis of this book is that to understand the implications of incentive structures in modern higher education, we require a deeper understanding of associated issues in the philosophy of science. Significant public and philanthropic resources are directed towards various forms of research in the hope of addressing key societal problems. That view, and the associated allocation of resources, relies on the assumption that academic research will tend towards finding truth – or at least selecting the best approximations of it. The present book builds on, and extends, contributions in philosophy and higher education to argue that this assumption is misplaced: with serious implications for modern higher education and its role in informing societal decisions and government policy. The book develops a philosophical foundation for the analysis of the connection between higher education incentives, scientific progress and societal outcomes. That in turn is used to demonstrate how the current approach to incentivising intellectual and scientific progress is likely not only to fail, but in fact to cause harm on the very dimensions it purports to improve. The arguments presented are illustrated with examples from medicine and academic economics, making the book one of the first to examine issues of scientific progress and social consequences across the human and social sciences. In doing so, it develops a novel critique of modern economics that in turn provides a more philosophically substantive foundation for popular critiques of economics than has existed to date. From the Back Cover The core thesis of this book is that to understand the implications of incentive structures in modern higher education, we require a deeper understanding of associated issues in the philosophy of science. Significant public and philanthropic resources are directed towards various forms of research in the hope of addressing key societal problems. That view, and the associated allocation of resources, relies on the assumption that academic research will tend towards finding truth – or at least selecting the best approximations of it. The present book builds on, and extends, contributions in philosophy and higher education to argue that this assumption is misplaced: with serious implications for modern higher education and its role in informing societal decisions and government policy. The book develops a philosophical foundation for the analysis of the connection between higher education incentives, scientific progress and societal outcomes. That in turn is used to demonstrate how the current approach to incentivising intellectual and scientific progress is likely not only to fail, but in fact to cause harm on the very dimensions it purports to improve. The arguments presented are illustrated with examples from medicine and academic economics, making the book one of the first to examine issues of scientific progress and social consequences across the human and social sciences. In doing so, it develops a novel critique of modern economics that in turn provides a more philosophically substantive foundation for popular critiques of economics than has existed to date. About the Author Dr Seán Mfundza Muller is a Senior Research Fellow at the Johannesburg Institute for Advanced Study. An economist by training, he holds three degrees from the University of Cape Town where he was a Woodrow Wilson Public Policy Partnership Fellow and one from the University of Oxford where he was a Rhodes Scholar. His work spans the spectrum from real-world policy to abstract theoretical analysis: from advising members of parliament on public finance issues and legislation, to methodological and philosophical critique of approaches to causal inference. His academic articles have been published in journals in economics, higher education, development and philosophy, and he is a regular contributor to the popular press on matter