How is access to asylum and other forms of extraterritorial protection regulated in the European Union? Is the EU acquis in these areas in conformity with international law? Which tools does international law offer to solve collisions between both? And, finally, is law capable of bridging the foundational oppositions embedded in migration and asylum issues? This work combines the potential of legal formalism with an analytical framework drawing on political theory. It analyses the argumentative strategies used by international lawyers, and developed them further, exploiting the interpretative methodology of international law as well as elaborate discrimination arguments. The author concludes that deflecting protection seekers by means of visa requirements may constitute a violation of the European Convention of Human Rights, and that the prescriptions of international law oblige Member States to apply the Dublin Convention and the Spanish Protocol in a manner emptying it of its main control functions. The author also shows that burden-sharing remains the pivotal element in the normative dynamics behind the EU acquis, and explains why the European Court of Human Rights must be regarded as the only transnational forum for the legitimate negotiation of asylum in Europe.
New military technologies are animated by fantasies of perfect knowledge, lawfulness, and vision that contrast sharply with the very real limits of human understanding, law, and vision. Thus, various kinds of violent acts are proliferating while their precise nature remains unclear. Especially man–machine ensembles, guided by algorithms, are operating in ways that challenge conceptual understanding. War and Algorithm looks at the increasing power of algorithms in these emerging forms of warfare from the perspectives of critical theory, philosophy, legal studies, and visual studies. The contributions in this volume grapple with the challenges posed by algorithmic warfare and trace the roots of new forms of war in the technological practices and forms of representation of the digital age. Together, these contributions provide a first step toward understanding—and resisting—our emerging world of war.
This study suggests that EU Member States consider protected entry procedures as part of a comprehensive approach, complementary to existing territorial asylum systems. The study conludes by presenting 5 proposals:
New military technologies are animated by fantasies of perfect knowledge, lawfulness, and vision that contrast sharply with the very real limits of human understanding, law, and vision. Thus, various kinds of violent acts are proliferating while their precise nature remains unclear. Especially man–machine ensembles, guided by algorithms, are operating in ways that challenge conceptual understanding. War and Algorithm looks at the increasing power of algorithms in these emerging forms of warfare from the perspectives of critical theory, philosophy, legal studies, and visual studies. The contributions in this volume grapple with the challenges posed by algorithmic warfare and trace the roots of new forms of war in the technological practices and forms of representation of the digital age. Together, these contributions provide a first step toward understanding—and resisting—our emerging world of war.
This text bridges the gulf between theoretical economic principles of negotiation and auction theory and their multifaceted applications in actual practice. It is intended to be a supplement to the already existing literature, as a comprehensive collection of reports detailing experiences and results of very different negotiations and auctions.
A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.
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