This book challenges the orthodoxy of learning and teaching in higher education with an original change approach entitled the Self-Organizing University (SOU). It assists universities build a comprehensive model of learning and teaching at whole-of-organization scale. The chapters demonstrate how a Self-Organizing University can create: • measurable learning and teaching standards; • student centered program development; • enhanced faculty professional growth and career trajectory; • more efficient and effective organizational design; • better feedback; • powerful use of technologies; • a legitimate connection between quality and productivity. Each chapter includes case examples derived from practical experience that situate the key ideas and concepts in the real day-to-day work of universities. The role of leadership in creating and sustaining a self-organizing university is also a key focus. The chapters target leadership practices that improve learning and teaching quality and productivity and assist universities realize their goals and aspirations for maximizing student learning.

Is the study of living systems a useful metaphor for political science? In this book, Dr. Dobuzinskis argues for further exploration of biopolitical models to explain the complexity of political theory and social change. His discussion emphasizes the new cybernetics, which considers not only self-regulating but also self-organizing or self-producing systems. Self-organizing systems operate in an autonomous sphere comparable to the autonomy of the political community and the political actors who compose this community. The autonomy of these systems is maintained through dynamic equilibration processes that entail not only the preservation of a given structure but also, at crucial times, the creative rearrangement of the existing structure and its transformation into a new pattern of relations. From this perspective, a political crisis is both a threat to the political system and the occasion of its renewal; stability may also mean decay. Emphasizing the links that have developed historically between the natural and social sciences, this book is a reflection on the merits of and difficulties involved in representing the evolutionary process at the political level as the problematic reproduction of national communities and states.

The Self-Organizing School provides ground-breaking insights and guidance about how schools can fulfill their aspirations for quality and productivity in learning and teaching. The book describes a comprehensive decade long school design process and effort that improves teaching quality and student outcomes. The practical guidance and examples employed throughout the book are supported by one of the most extensive longitudinal studies of a school reform process, including data from over 1600 classroom observations, 12,000 student evaluations and research studies of school change, technology use, student achievement, collaboration, and teacher effectiveness.

This book constitutes the refereed proceedings of the 6th IFIP TC 6 International Workshop on Self-Organizing Systems, IWSOS 2012, held in Delft, The Netherlands, in March 2012. The 5 revised full papers and 5 short papers presented together with 2 invited papers were carefully selected from 25 full paper and 8 short paper submissions. The papers address the following key topics: design and analysis of self-organizing and self-managing systems; inspiring models of self-organization in nature and society; structure, characteristics and dynamics of self-organizing networks; techniques and tools for modeling self-organizing systems; robustness and adaptation in self-organizing systems; self-organization in complex networks like peer-to-peer, sensor, ad-hoc, vehicular and social networks; control of self-organizing systems; decentralized power management in the smart grid; self-organizing group and pattern formation; self-organizing mechanisms for task allocation, coordination and resource allocation; self-organizing information dissemination and content search; and risks and limits of self-organization.

This book constitutes the refereed proceedings of the First International Workshop on Self-Organizing Systems, IWSOS 2006. The book offers 16 revised full papers and 6 revised short papers together with 2 invited talks and 3 poster papers. The papers are organized in topical sections on dynamics of structured and unstructured overlays, self-organization in peer-to-peer networks, self-organization in wireless environments, self-organization in distributed and grid computing, self-managing and autonomic computing, and more.

Biological structures built through mechanisms involving self-organization are examined in this text. Examples of such structures are termite mounds, which provide their inhabitants with a secure & stable environment. The text looks at why & how self-organization occurs in nature.

This book constitutes the refereed proceedings of the Second International Workshop on Self-Organizing Systems, IWSOS 2007. The 17 revised full papers and five revised short papers presented together with two invited talks were carefully selected from more than 36 submissions. The papers are organized in topical sections on ad hoc routing, peer-to-peer networking, network topology, adaptive and self-organizing networks and multicast and mobility protocols.

This book constitutes the refereed proceedings of the Third International Workshop on Self-Organizing Systems, IWSOS 2008, held in Vienna, Austria, December 10-12, 2008. The 20 revised full papers and 13 revised short papers presented were carefully selected from the 70 full and 24 short paper submissions from authors from 33 different countries. The papers are organized in topical sections on peer-to-peer systems, overlay networks as well as resource and service management.

A proposal that the basic mental models used to structure social interaction result from self-organization in brain activity. In The Self-Organizing Social Mind, John Bolender proposes a new explanation for the forms of social relations. He argues that the core of social-relational cognition exhibits beauty—in the physicist's sense of the word, associated with symmetry. Bolender describes a fundamental set of patterns in interpersonal cognition, which account for the resulting structures of social life in terms of their symmetries and the breaking of those symmetries. He further describes the symmetries of the four fundamental social relations as ordered in a nested series akin to what one finds in the formation of a snowflake or spiral galaxy. Symmetry breaking organizes the neural activity generating the cognitive models that structure our social relationships. Bolender's primary claim is that there exists a social pattern generator analogous to the central pattern generators associated with locomotion in many animal species. Spontaneous symmetry breaking structures the activity of the social pattern generator just as it does in central pattern generators. Bolender's hypothesis that relational cognition results from self-organization is entirely novel, distinct from other theories that describe sociality in terms of evolution or environment. It presents a picture of social-relational cognition as resembling something inorganic. In doing so it reveals deep connections among cognition, biology, and the inorganic world. One can go too far, he acknowledges, in taking a solely dynamical view of the mind; the mind's innate functional complexity must be due to natural selection. But this does not mean that every simple mental feature is the result of natural selection. By noting a descending symmetry subgroup chain at the core of relational cognition, Bolender takes the first step in an important investigation. Bradford Books imprint

We welcome you to the proceedings of the 4th International Workshop on Self-Organizing Systems (IWSOS 2009) hosted at ETH, Zurich, Switzerland. IWSOS provides an annual forum to present and discuss recent research in self-organization focused on networks and networked systems. Research in se- organizingnetworkedsystemshasadvancedinrecentyears,buttheinvestigation of its potentials and limits still leaves challenging and appealing open research issues for this and subsequent IWSOS workshops. Complexandheterogeneousnetworksmakeself-organizationhighlydesirable. Bene?ts envisioned by self-organization are the inherent robustness and ada- ability to new dynamic tra?c, topology changes, and scaling of networks. In - dition to an increasingly complex Future Internet, a number of domain-speci?c subnetworks bene?t from advances in self-organization, including wireless mesh networks, wireless sensor networks, and mobile ad-hoc networks, e.g., vehi- lar ad-hoc networks. Self-organization in networked systems is often inspired by other domains, such as nature (evolution theory, swarm intelligence), sociology (human cooperation), and economics (game theory). Aspects of controllability, engineering,testing,andmonitoringofself-organizingnetworksremainchalle- ing and are of particular interest to IWSOS. This year, we received 34 full paper and 27 short paper submissions. The highquality ofthe submissionsallowedus toprovideastrongtechnicalprogram.