The Hidden Hierarchy

In Western religious traditions, God is conventionally conceived as a humanlike creator, lawgiver, and king, a being both accessible and actively present in history. Yet there is a concurrent and strong tradition of a God who actively hides. The two traditions have led to a tension between a God who is simultaneously accessible to humanity and yet inaccessible, a God who is both immanent and transcendent, present and absent. Western Gnostic, esoteric, and mystical thinking capitalizes on the hidden and hiding God. He becomes the hallmark of the mystics, Gnostics, sages, and artists who attempt to make accessible to humans the God who is secreted away. 'Histories of the Hidden God' explores this tradition from antiquity to today. The essays focus on three essential themes: the concealment of the hidden God; the human quest for the hidden God, and revelations of the hidden God.

Hierarchy is a central feature in the organisation of complex biological systems and particularly the structure and function of neural networks. While other aspects of brain connectivity such as regionalisation, modularity or motif composition have been discussed elsewhere, no detailed analysis has been presented so far on the role of hierarchy and its connection to brain dynamics. Recent discussions among many of our colleagues have shown an increasing interest in hierarchy (of spatial, temporal and dynamic features), and this is an emerging key question in neuroscience as well as generally in the field of network science, due to its links with concepts of control, efficiency and development across scales (e.g. Hilgetag et al. Science, 1996; Ravasz et al. Science, 2002; Bassett et al. PNAS, 2006; Mueller-Linow et al. PLoS Comp. Biol., in press). The proposed Research Topic will address recent findings from a theoretical as well as experimental perspective including contributions under the following four headings: 1) Topology: Detecting and characterizing network hierarchy; 2) Experiments: Neural dynamics across hierarchical scales; 3) Dynamics: Activity spread, oscillations, and synchronization in hierarchical networks; 4) Dynamics: Stable functioning and information processing in hierarchical networks.

Most people take the conditions they work and live in as a given, believing it to be normal that societies are stratified and that organisations are hierarchical. Many even think that this is the way it should be - and are neither willing nor able to think that it could be otherwise. This book raises the awareness of hierarchy, its complexity and longevity. It focuses on a single but fundamental problem of social systems such as dyads, groups, organisations and whole societies: Why and how does hierarchical social order persist over time? In order to investigate the question, author Thomas Diefenbach develops a general theory of the persistence of hierarchical social order. This theory interrogates the problem of the persistence of hierarchical social order from very different angles, in multi-dimensional and interdisciplinary ways. Even more crucially, it traces the very causes of the phenomenon, the reasons and interests behind hierarchy as well as the various mechanisms which keep it going. This is the first time such a theory is attempted. With the help of the theory developed in this book, it is possible to interrogate systematically, comprehensively and in detail how mindsets and behaviours as well as societal and organisational structures enable the continuation of hierarchy

This volume brings together leading scholars in the field of organisation studies to reflect on the universal phenomena of hierarchy (vertical organisation of tasks) and bureaucracy (rule-bound execution of tasks), resulting in a colourful kaleidoscope of thought-provoking, critical and refreshingly non-mainstream analysis.

Everybody is current in a world surrounded by computer. Computers determine our professional activity and penetrate increasingly deeper into our everyday life. Therein we also need increasingly refined c- puter technology. Sometimes we think that the next generation of c- puter will satisfy all our dreams, giving us hope that most of our urgent problems will be solved very soon. However, the future comes and il- sions dissipate. This phenomenon occurs and vanishes sporadically, and, possibly, is a fundamental law of our life. Experience shows that indeed ‘systematically remaining’ problems are mainly of a complex tech- logical nature (the creation of new generation of especially perfect - croschemes, elements of memory, etc. ). But let us note that amongst these problems there are always ones solved by our purely intellectual efforts alone. Progress in this direction does not require the invention of any ‘superchip’ or other similar elements. It is important to note that the results obtained in this way very often turn out to be more significant than the ‘fruits’ of relevant technological progress. The hierarchical asymptotic analytical–numerical methods can be - garded as results of such ‘purely intellectual efforts’. Their application allows us to simplify essentially computer calculational procedures and, consequently, to reduce the calculational time required. It is obvious that this circumstance is very attractive to any computer user.

Forward-thinking leaders are developing new, successful models of self-management, attracting the energies and visions of a young and modern workforce who rightfully demand autonomy and flexibility. Driven by passion and purpose as a driver of profit, they delight their customers, from stockholders to stakeholders. From Hierarchy to High Performance shares the secrets for companies that want to restore people to their rightful place as leaders who are poised and eager to make a difference at work and in the world. Great Work Cultures is a consortium of business professionals dedicated to unleashing the power within human organizations. We prioritize collaboration over control, human experience over bureaucratic rules, and networks over hierarchies.