Resultado de "Michael Roth" em Todas as categorias

Michael Roth schreibt von den "Zonen der Angst" der Berufspolitik. Vom innerparteilichen Machtkampf. Den sozialen Medien und dem drohenden Shitstorm. Dem Pranger, weil man die Rituale und die Sprache der eigenen Bubble, Partei oder Peer-Group infrage stellt. Dem falschen politischen Spiel mit gesellschaftlichen Ängsten. Darunter hat der Mensch Michael Roth immer stärker gelitten - und seine eigene mentale Erkrankung erst spät erkannt. Mit seinem Buch möchte er anderen Mut machen, sich den eigenen Ängsten zu stellen. Dabei schont er weder seine politischen Weggefährten noch sich selbst.

The Emperor's Tomb is a magically evocative, haunting elegy to the vanished world of the Austro-Hungarian Empire, and to the passing of time and the loss of youth and friends. Prophetic and regretful, intuitive and exact, Roth's acclaimed novel is the tale of one man's struggle to come to terms with the uncongenial society of post-First World War Vienna and the first intimations of Nazi barbarities.

The Radetzky March is a meditation on the Austro-Hungarian Empire through the prism of three generations of the Trotta family. The novel opens in 1859 at the Battle of Solferino, when the young Lieutenant Trotta saves the life of the Emperor and is ennobled. He owes the Empire everything, and his son also becomes a conscientious servant of the great multinational state even as it enters into its period of chaos, with competing nationalisms and ideologies tearing it apart.

In this sweeping book, Michael S. Roth narrates a vivid and dynamic history of students, exploring some of the principal models for learning that have developed in very different contexts, from the sixth century BCE to the present. Beginning with the followers of Confucius, Socrates, and Jesus and moving to medieval apprentices, students at Enlightenment centers of learning, and learners enrolled in twenty-first-century universities, he explores how students have been followers, interlocutors, disciples, rebels, and children becoming adults.

Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration.