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Levinas, Subjectivity, Education explores how the philosophical writings of Emmanuel Levinas lead us to reassess education and reveals the possibilities of a radical new understanding of ethical and political responsibility. Presents an original theoretical interpretation of Emmanuel Levinas that outlines the political significance of his work for contemporary debates on education Offers a clear analysis of Levinas’s central philosophical concepts, including the place of religion in his work, demonstrating their relevance for educational theorists Examines Alain Badiou’s critique of Levinas’s work Considers the practical implications of Levinas’ theories for concrete educational practices and frameworks

Once condemned by Modernism and compared to a ‘crime’ by Adolf Loos, ornament has made a spectacular return in contemporary architecture. This is typified by the works of well-known architects such as Herzog & de Meuron, Sauerbruch Hutton, Farshid Moussavi Architecture and OMA. There is no doubt that these new ornamental tendencies are inseparable from innovations in computer technology. The proliferation of developments in design software has enabled architects to experiment afresh with texture, colour, pattern and topology. Though inextricably linked with digital tools and culture, Antoine Picon argues that some significant traits in ornament persist from earlier Western architectural traditions. These he defines as the ‘subjective’ – the human interaction that ornament requires in both its production and its reception – and the political. Contrary to the message conveyed by the founding fathers of modern architecture, traditional ornament was not meant only for pleasure. It conveyed vital information about the designation of buildings as well as about the rank of their owners. As such, it participated in the expression of social values, hierarchies and order. By bringing previous traditions in ornament under scrutiny, Picon makes us question the political issues at stake in today’s ornamental revival. What does it tell us about present-day culture? Why are we presently so fearful of meaning in architecture? Could it be that by steering so vehemently away from symbolism, contemporary architecture is evading any explicit contribution to collective values?

Comparing and contrasting the reality of subjectivity in the work of history's great scientists and the modern Bayesian approach to statistical analysis Scientists and researchers are taught to analyze their data from an objective point of view, allowing the data to speak for themselves rather than assigning them meaning based on expectations or opinions. But scientists have never behaved fully objectively. Throughout history, some of our greatest scientific minds have relied on intuition, hunches, and personal beliefs to make sense of empirical data-and these subjective influences have often aided in humanity's greatest scientific achievements. The authors argue that subjectivity has not only played a significant role in the advancement of science, but that science will advance more rapidly if the modern methods of Bayesian statistical analysis replace some of the classical twentieth-century methods that have traditionally been taught. To accomplish this goal, the authors examine the lives and work of history's great scientists and show that even the most successful have sometimes misrepresented findings or been influenced by their own preconceived notions of religion, metaphysics, and the occult, or the personal beliefs of their mentors. Contrary to popular belief, our greatest scientific thinkers approached their data with a combination of subjectivity and empiricism, and thus informally achieved what is more formally accomplished by the modern Bayesian approach to data analysis. Yet we are still taught that science is purely objective. This innovative book dispels that myth using historical accounts and biographical sketches of more than a dozen great scientists, including Aristotle, Galileo Galilei, Johannes Kepler, William Harvey, Sir Isaac Newton, Antoine Levoisier, Alexander von Humboldt, Michael Faraday, Charles Darwin, Louis Pasteur, Gregor Mendel, Sigmund Freud, Marie Curie, Robert Millikan, Albert Einstein, Sir Cyril Burt, and Margaret Mead. Also included is a detailed treatment of the modern Bayesian approach to data analysis. Up-to-date references to the Bayesian theoretical and applied literature, as well as reference lists of the primary sources of the principal works of all the scientists discussed, round out this comprehensive treatment of the subject. Readers will benefit from this cogent and enlightening view of the history of subjectivity in science and the authors' alternative vision of how the Bayesian approach should be used to further the cause of science and learning well into the twenty-first century.

Self and Subjectivity is a collection of seminal essays with commentary that traces the development of conceptions of 'self' and 'subjectivity' in European and Anglo-American philosophical traditions, including feminist scholarship, from Descartes to the present.