Design And Science

Consolidating existing knowledge in Design Science, this book proposes a new research method to aid the exploration of design and problem solving within business, science and technology. It seeks to overcome a dichotomy that exists in the field between theory and practice to enable researches to find solutions to problems, rather than focusing on the explanation and exploration of the problems themselves. Currently, researches concentrate on to describing, exploring, explaining and predicting phenomena, and little attention is devoted to prescribing solutions. Herbert Simon proposes the need to develop a Science of the Artificial (Design Science), arguing that our reality is much more artificial than natural. However, the research conducted on the Design Science premises has so far been scattered and erratic in different fields of research, such as management, systems information and engineering. This book aims to address this issue by bringing these fields together and emphasising the need for solutions. This book provides a valuable resource to students and researchers of research methods, information systems, management and management science, and production and operations management.

There is an important overlap between science and design. The most significant technological developments cannot be produced without designers to conceptualize them. By the same token, designers cannot do their job properly without a good understanding of the scientific or technical principles that are being developed within the product. Science in Design: Solidifying Design with Science and Technology reveals the significance of the essential yet understudied intersection of design and scientific academic research and encompasses technological development, scientific principles, and the point of overlap between science and design. Encourages readers to comprehend the role of science in all facets of design Discusses the fundamental involvement of science required for engineering and design irrespective of whether the design is from an individual, business, or social perspective Covers the ontology, characteristics, and application of science in major fields of design education and design research, with an introduction of emerging practices transforming sustainable growth through applied behavioral models Depicts the art and science of material selection using new design techniques and technology advances like augmented reality, AI, and decision-support toolkits This unique book will benefit scientists, technologists, and engineers, as well as designers and professionals, across a variety of industries dealing with scientific analysis of design research methodology, design lifecycle, and problem solving.

It has been said that Will Burtin (1908-1972) was to graphic design what Albert Einstein was to physics. Burtin pioneered important contributions to international typography and visual design. He is best known as the world leader in using design to interpret science; as a proponent of 'clean', uncluttered sans-serif typography; and for his large-scale three-dimensional models, which carried the craft and the art of display to new heights. His walk-through models included a human blood cell (1958) and brain functions (1960). His major achievement, his clarity and ingenuity with models and graphics made complex information easy to assimilate. Early success in his native Germany brought Burtin unwelcome attention from Nazi leaders courting his services. He fled with his Jewish wife to the United States. Within months he won the prestigious contract to create the Federal Works Agency exhibit for the 1939 New York World's Fair. The wartime Office of Strategic Services drafted Burtin to create Air Force gunnery manuals, cutting recruits' training from six months to six weeks. In 1945, with the U.S. still at war, Fortune magazine lobbied to extract Burtin from the army in order to appoint him Art Director. By the late 1950s he was designing the walk-through exhibits for which he is renowned. The first monograph on Burtin, Design and Science illustrates his leadership in five fields: using graphics to visualize science and information (pre-war); corporate identity (from the mid-1940s); multimedia (which he called 'Integration', from 1948); large-scale scientific visualization in 3-D (from 1958, foreshadowing computer-assisted virtual environments, i.e. CAVE-space); and, with others, promoting Helvetica in North America. Illustrations of Burtin's work that have never before been published make this invaluable book essential reading for design professionals and all those interested in design, visualization, imaging and information technology.

This book provides guidelines for practicing design science in the fields of information systems and software engineering research. A design process usually iterates over two activities: first designing an artifact that improves something for stakeholders and subsequently empirically investigating the performance of that artifact in its context. This “validation in context” is a key feature of the book - since an artifact is designed for a context, it should also be validated in this context. The book is divided into five parts. Part I discusses the fundamental nature of design science and its artifacts, as well as related design research questions and goals. Part II deals with the design cycle, i.e. the creation, design and validation of artifacts based on requirements and stakeholder goals. To elaborate this further, Part III presents the role of conceptual frameworks and theories in design science. Part IV continues with the empirical cycle to investigate artifacts in context, and presents the different elements of research problem analysis, research setup and data analysis. Finally, Part V deals with the practical application of the empirical cycle by presenting in detail various research methods, including observational case studies, case-based and sample-based experiments and technical action research. These main sections are complemented by two generic checklists, one for the design cycle and one for the empirical cycle. The book is written for students as well as academic and industrial researchers in software engineering or information systems. It provides guidelines on how to effectively structure research goals, how to analyze research problems concerning design goals and knowledge questions, how to validate artifact designs and how to empirically investigate artifacts in context – and finally how to present the results of the design cycle as a whole.

This book is an introductory text on design science, intended to support both graduate students and researchers in structuring, undertaking and presenting design science work. It builds on established design science methods as well as recent work on presenting design science studies and ethical principles for design science, and also offers novel instruments for visualizing the results, both in the form of process diagrams and through a canvas format. While the book does not presume any prior knowledge of design science, it provides readers with a thorough understanding of the subject and enables them to delve into much deeper detail, thanks to extensive sections on further reading. Design science in information systems and technology aims to create novel artifacts in the form of models, methods, and systems that support people in developing, using and maintaining IT solutions. This work focuses on design science as applied to information systems and technology, but it also includes examples from, and perspectives of, other fields of human practice. Chapter 1 provides an overview of design science and outlines its ties with empirical research. Chapter 2 discusses the various types and forms of knowledge that can be used and produced by design science research, while Chapter 3 presents a brief overview of common empirical research strategies and methods. Chapter 4 introduces a methodological framework for supporting researchers in doing design science research as well as in presenting their results. This framework includes five core activities, which are described in detail in Chapters 5 to 9. Chapter 10 discusses how to communicate design science results, while Chapter 11 compares the proposed methodological framework with methods for systems development and shows how they can be combined. Chapter 12 discusses how design science relates to research paradigms, in particular to positivism and interpretivism, and Chapter 13 discusses ethical issues and principles for design science research. The new Chapter 14 showcases a study on digital health consultations and illustrates the whole process in one comprehensive example. Also added to this 2nd edition are a number of sections on practical guidelines for carrying out basic design science tasks, a discussion on design thinking and its relationship to design science, and the description of artefact classifications. Eventually, both the references in each chapter and the companion web site were updated to reflect recent findings.

Many business corporations are faced with the challenge of bringing together quite different types of knowledge in design processes: knowledge of different disciplines in the natural and engineering sciences, knowledge of markets and market trends, knowledge of political and juridical affairs. This also means a challenge for design methodology as the academic discipline that studies design processes and methods. The aim of the NATO ARW of which this book is the report was to bring together colleagues from different academic fields to discuss this increasing multidisciplinarity in the relationship between design and sciences. This multidisciplinarity made the conference a special event. At a certain moment one of the participants exclaimed: "This is not a traditional design methodology conference!" Throughout the conference it was evident that there was a need to develop a common language and understanding to enable the exchange of different perspectives on design and its relationship with science. The contributions that have been included in this book show these different perspectives: the philosophical, the historical, the engineering perspective and the practical designer's experience.

It is the aim of this study to present a framework for the design of technical systems. This can be achieved through a general Design Science, a knowledge system in which products are seen as objects to be developed within engineering design processes. The authors have developed this design science from a division of the knowledge system along two axes. One deals with knowledge about technical systems and design processes while the other presents descriptive statements. Relationships among the various sections of the knowledge system are made clear. Well-known insights into engineering design, the process, its management and its products are placed into new contexts. Particular attention is given to various areas of applicability. Widespread use throughout is made of easily assimilated diagrams and models.

Design Engineering and Science teaches the theory and practice of axiomatic design (AD). It explains the basics of how to conceive and deliver solutions to a variety of design problems. The text shows how a logical framework and scientific basis for design can generate creative solutions in many fields, including engineering, materials, organizations, and a variety of large systems. Learning to apply the systematic methods advocated by AD, a student can construct designs that lead to better environmental sustainability and to increased quality of life for the end-user at the same time reducing the overall cost of the product development process. Examples of previous innovations that take advantage of AD methods include: • on-line electric vehicle design for electric buses with wireless power supply; • mobile harbors that allow unloading of large ships in shallow waters; • microcellular plastics with enhanced toughness and lower weight; and • organizational changes in companies and universities resulting in more efficient and competitive ways of working. The book is divided into two parts. Part I provides detailed and thorough instruction in the fundamentals of design, discussing why design is so important. It explains the relationship between and the selection of functional requirements, design parameters and process variables, and the representation of design outputs. Part II presents multiple applications of AD, including examples from manufacturing, healthcare, and materials processing. Following a course based on this text students learn to create new products and design bespoke manufacturing systems. They will gain insight into how to create imaginative design solutions that satisfy customer needs and learn to avoid introducing undue complexity into their designs. This informative text provides practical and academic insight for engineering design students and will help instructors teach the subject in a novel and more rigorous fashion. Their knowledge of AD will stand former students in good stead in the workplace as these methods are both taught and used in many leading industrial concerns.