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This book proposes a novel approach to classification, discusses its myriad advantages, and outlines how such an approach to classification can best be pursued. It encourages a collaborative effort toward the detailed development of such a classification. This book is motivated by the increased importance of interdisciplinary scholarship in the academy, and the widely perceived shortcomings of existing knowledge organization schemes in serving interdisciplinary scholarship. It is designed for scholars of classification research, knowledge organization, the digital environment, and interdisciplinarity itself. The approach recommended blends a general classification with domain-specific classification practices. The book reaches a set of very strong conclusions: -Existing classification systems serve interdisciplinary research and teaching poorly. -A novel approach to classification, grounded in the phenomena studied rather than disciplines, would serve interdisciplinary scholarship much better. It would also have advantages for disciplinary scholarship. The productivity of scholarship would thus be increased. -This novel approach is entirely feasible. Various concerns that might be raised can each be addressed. The broad outlines of what a new classification would look like are developed. -This new approach might serve as a complement to or a substitute for existing classification systems. -Domain analysis can and should be employed in the pursuit of a general classification. This will be particularly important with respect to interdisciplinary domains. -Though the impetus for this novel approach comes from interdisciplinarity, it is also better suited to the needs of the Semantic Web, and a digital environment more generally. Though the primary focus of the book is on classification systems, most chapters also address how the analysis could be extended to thesauri and ontologies. The possibility of a universal thesaurus is explored. The classification proposed has many of the advantages sought in ontologies for the Semantic Web. The book is therefore of interest to scholars working in these areas as well.
Thema der 15. Internationalen Konferenz der International Society for Knowledge Organization vom 9. bis 11. Juli 2018 in Porto ist "Challenges and Opportunities for Knowledge Organization in the Digital Age". Der Konferenzband fasst die Vorträge von Wissenschaftlern aus aller Welt zusammen.
Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking research in complex systems theory. Building upon foundational concepts, the volume introduces a theory of Self-Organization, providing definitions of concepts including system, structure, organization, functionality, and boundary. Biophysical and cognitive approaches to Self-Organization are also covered, discussing the complex dynamics of living beings and the brain, and self-organized adaptation and learning in computational systems. The convergence of Peircean philosophy with the study of Self-Organization also provides an original pathway of research, which contributes to a dialogue between pragmatism, semeiotics, complexity theory, and self-organizing systems. As one of the few interdisciplinary works on systems theory, relating Self-Organization and Information Theory, Systems, Self-Organisation and Information is an invaluable resource for researchers and postgraduate students interested in complex systems theory from related disciplines including philosophy, physics, and engineering.
Facilitating Interdisciplinary Research examines current interdisciplinary research efforts and recommends ways to stimulate and support such research. Advances in science and engineering increasingly require the collaboration of scholars from various fields. This shift is driven by the need to address complex problems that cut across traditional disciplines, and the capacity of new technologies to both transform existing disciplines and generate new ones. At the same time, however, interdisciplinary research can be impeded by policies on hiring, promotion, tenure, proposal review, and resource allocation that favor traditional disciplines. This report identifies steps that researchers, teachers, students, institutions, funding organizations, and disciplinary societies can take to more effectively conduct, facilitate, and evaluate interdisciplinary research programs and projects. Throughout the report key concepts are illustrated with case studies and results of the committee's surveys of individual researchers and university provosts.
Interdisciplinary Dialogues on Organizational Paradox is an innovative two-part volume that enriches our understanding about paradox; both deepening the theory and offering greater insight to address grand challenges we face in the world today. Part A: Learning from Belief and Science explores the realms of beliefs and physicality.
"This book is a detailed resource on knowledge management and innovations that has been written and edited to provide flexibility and in-depth knowledge management innovations, strategies, and practices"--Provided by publisher.
The first critical history of interdisciplinary efforts and movements in the modern university. Interdisciplinarity—or the interrelationships among distinct fields, disciplines, or branches of knowledge in pursuit of new answers to pressing problems—is one of the most contested topics in higher education today. Some see it as a way to break down the silos of academic departments and foster creative interchange, while others view it as a destructive force that will diminish academic quality and destroy the university as we know it. In Undisciplining Knowledge, acclaimed scholar Harvey J. Graff presents readers with the first comparative and critical history of interdisciplinary initiatives in the modern university. Arranged chronologically, the book tells the engaging story of how various academic fields both embraced and fought off efforts to share knowledge with other scholars. It is a story of myths, exaggerations, and misunderstandings, on all sides. Touching on a wide variety of disciplines—including genetic biology, sociology, the humanities, communications, social relations, operations research, cognitive science, materials science, nanotechnology, cultural studies, literacy studies, and biosciences—the book examines the ideals, theories, and practices of interdisciplinarity through comparative case studies. Graff interweaves this narrative with a social, institutional, and intellectual history of interdisciplinary efforts over the 140 years of the modern university, focusing on both its implementation and evolution while exploring substantial differences in definitions, goals, institutional locations, and modes of organization across different areas of focus. Scholars across the disciplines, specialists in higher education, administrators, and interested readers will find the book’s multiple perspectives and practical advice on building and operating—and avoiding fallacies and errors—in interdisciplinary research and education invaluable.
V. P. H. P.
Case Studies in Interdisciplinary Research successfully applies the model of the interdisciplinary research process outlined by author Allen F. Repko in Interdisciplinary Research, (SAGE ©2008) to a wide spectrum of challenging research questions. Self-contained case studies, written by leaders in interdisciplinary research, and utilizing best-practice techniques in conducting interdisciplinary research shows students how to apply the interdisciplinary research process to a variety of problems.
This book constitutes the refereed proceedings of the First International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability, ARTIIS 2021, held in La Libertad, Ecuador, in November 2021. The 53 full papers and 2 short contributions were carefully reviewed and selected from 155 submissions. The volume covers a variety of topics, such as computer systems organization, software engineering, information storage and retrieval, computing methodologies, artificial intelligence, and others. The papers are logically organized in the following thematic blocks: ​Computing Solutions; Data Intelligence; Ethics, Security, and Privacy; Sustainability.